| 1 |
Google Cloud Next '17 - Day 1 Keynote |
Hear from Diane Greene, SVP of Google Cloud; Sundar Pichai, CEO of Google; Eric Schmidt, Chairman of Alphabet and Fei-Fei Li, Chief Scientist for Google Cloud Machine Learning and AI and Professor of Computer Science at Stanford. Our lineup of executives will discuss what Google Cloud offers today and discuss Google Cloud's vision for the future. Attendees will also hear how our customers and partners are embracing the cloud in new and innovative ways. Missed the conference? Watch all the talk |
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2:14:41 |
| 2 |
Google Cloud Next Pre-Show - Day One (Google Cloud Next '17) |
Watch as Google Cloud Next 2017 hosts Timothy Jordan and Drea Alphonso kick off the conference. The duo interviews Google Cloud Podcast hosts Mark and Francesc, get shout outs from global GCP Next viewing parties, chat with session speakers, and more! Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h |
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0:17:33 |
| 3 |
Next '17: Day 1 Keynote (Highlights in 4 min) |
ICYMI, we've got highlights from Google Next '17 Day 1 Keynote in under 4 minutes including major announcements around machine learning and AI. Speakers included Sundar Pichai, Diane Greene, Fei-Fei Li and Eric Schmidt. Plus appearances from customers like SAP, HSBC, Home Depot & more. https://cloudnext.withgoogle.com/ |
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0:03:59 |
| 4 |
Google Cloud Next '17 - Day 2 Keynote |
Google Cloud announces new products for Google Cloud Platform (GCP) and G Suite. Hear from Google's product and engineering leaders, including Urs Hölzle, Prabhakar Raghavan, Brian Stevens and Chet Kapoor. See exciting product demos and hear from customers about how Google Cloud is helping them compete and succeed. |
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2:19:05 |
| 5 |
Google Cloud Next Pre-Show - Day Two (Google Cloud Next '17) |
Watch as Google Cloud Next 2017 hosts Timothy Jordan and Drea Alphonso are back for Day 2! Join them as they cover the highlights from Day 1, chat with attendees, meet with some partner companies and explore the sandbox at the conference. Watch the Day 1 Keynote here: https://goo.gl/w5pTmU Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h |
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0:19:56 |
| 6 |
Next '17: Day 2 Keynote Highlights |
ICYMI, we've got highlights from Google Next '17 Day 2 Keynote including major announcements around security, serverless and big data. Speakers included Urs Hölzle and Brian Stevens. https://cloudnext.withgoogle.com/ |
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0:05:39 |
| 7 |
Google Cloud Next '17 - Day 3 Keynote |
This final Keynote is dedicated to developers, focusing on Google's commitment to open source with talks from Jeff Dean, Senior Google Fellow and leader of the Google Brain team, along with Rajat Monga to expand on the progress Google is making with TensorFlow and Google Brain. Hear from prominent members of the open source community on the state of the community and how open source is helping define the future of the Internet. Also hear from start-ups and the venture capital community on how th |
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1:39:31 |
| 8 |
Google Cloud Next Pre-Show - Day Three (Google Cloud Next '17) |
Google Cloud Next 2017 hosts Timothy Jordan and Drea Alphonso close out the event with the final pre-show on Day 3! Join them as they cover the highlights from Day 2, chat with more session speakers and explore more of the sandbox at the conference. Watch the Day 3 Keynote here: https://goo.gl/LFr9q5 |
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0:14:32 |
| 9 |
How Enterprises Migrate (Securely) to Cloud (Google Cloud Next '17) |
In this video, Leonard Law, Sol Cates, Roy Feintuch, and Patrick Lecuyer discuss common concerns and solutions for enterprises who are starting their Cloud migration journey. They discuss strategies that customers can adopt to keep their data safe, retain operational control, and integrate with existing infrastructure and applications. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:40:34 |
| 10 |
Make better business decisions with Google Maps (Google Cloud Next '17) |
The ability to track the location of people, vehicles, or any moving asset is essential for efficient supply chain operations and sales force management. In this video, you'll learn about the Google Maps products available to help your business make informed decisions and improve the performance efficiency of your vehicles and other mobile assets. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtH |
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0:41:23 |
| 11 |
Introducing Google Cloud mobility solutions (Google Cloud Next '17) |
Devices have fundamentally changed our day to day lives as consumers, but that same transformation has lagged in the Enterprise. Building from that experience Google Cloud is introducing a new category of mobile solutions. Watch to learn more about how Google takes devices, sensors, and cloud smarts to bring together solutions for you day-to-day business, employees, and customers. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices he |
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0:47:15 |
| 12 |
Google Container Engine and the path to cloud-native operations (Google Cloud Next '17) |
Adopting Kubernetes and containers helps organizations move to a v, but how do you manage it once it's out there? In this video, Fabio Yeon walks through the features available in Google Container Engine for automatically monitoring, updating and ensuring your cluster runs at peak efficiency. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:44:45 |
| 13 |
Transforming company culture with Google+ (Google Cloud Next '17) |
In this video, you'll hear from companies that have used Google+ to drive cultural change within their organizations by sharing ideas, creating Communities, and more. Danielle Buckley, Product Lead for Google+, together with Ray Allen, Archna Tikku, and Wilma Low, shares insights about new features and how enterprises can get the most out of using Google+. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo |
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0:24:14 |
| 14 |
Security First for a Mobile First Strategy (Google Cloud Next '17) |
Security first for a mobile-first business. Android ships securely and offers multiple layers of protection such as 30-day updates, continual machine learning verifications, and a Work Profile designed to keep businesses safe and personal information private. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:41:40 |
| 15 |
Google Cloud Platform for day-to-day ITOps (Google Cloud Next '17) |
In this video, Miles Ward and Vic Iglesias put all of their focus on ITOps, and address those of you who work in our tools and services on the day to day. If you're a regular and consistent user, who may manage the system by hand or use commercial software and if you're interested in learning how all of the new-fangled bells and whistles on Google Cloud Platform (GCP) relates to what you're doing, this video is for you. They share real-world, direct, and explicit guidance on what tools work, how |
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0:44:12 |
| 16 |
Auto-awesome: advanced data science on Google Cloud Platform (Google Cloud Next '17) |
A key benefit of doing data science on the cloud is the amount of time that it saves you. You shouldn't have to wait days or months -- instead, because many jobs are parallel, you can get your results in minutes-to-hours by having them execute on thousands of machines. Running data jobs on thousands of machines for minutes at a time requires fully managed services. Given the choice between a product that requires you to first configure a container, server or cluster and another product that free |
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0:43:16 |
| 17 |
Navigating Google Cloud Platform: a guide for new GCP users (Google Cloud Next '17) |
Building great solutions requires you to know your tools. Coming from your own infrastructure or another cloud provider you might have trouble locating all of the tools at your disposal on Google Cloud Platform (GCP). Common questions: How do I get a Virtual Machine? What NoSQL solutions are available? Where do I open a firewall port? This video takes you through our various computing options and engines. Terrence Ryan walks you through our storage options and helps you figure out where your dat |
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0:49:50 |
| 18 |
What I wish my CIO knew about Google Cloud (Google Cloud Next '17) |
Cloud computing has helped create new architectural patterns and technologies and has transformed how we run and operate business, but the cloud time machine has yet to be invented. Because it's easier to shape the future than change the past, it's helpful to have a sense for the full cloud journey and what to look out for along the way before you even take that first step. In this video, Sami Zuhuruddin focuses on the specific patterns that have worked successfully for customers as well as the |
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0:56:11 |
| 19 |
Take your ASP.NET apps to the next level with Google Cloud (Google Cloud Next '17) |
With high performance Virtual Machines (VM) and networking, blazing fast VM provisioning, sub-minute billing and a rich set of services, Google Cloud is a great platform to deploy and run your ASP.NET apps. In this video, Mete Atamel covers how to migrate your ASP.NET app to Google Cloud, how to manage your app with Google Cloud PowerShell cmdlets and Visual Studio plugin, how to take advantage of Google Cloud services such as Cloud Storage, Pub/Sub, BigQuery, and finally, how to take your app t |
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0:53:50 |
| 20 |
Insider's Guide: How to Upgrade to G Suite Seamlessly (Google Cloud Next '17) |
Working in teams has never been easier than it is now with G Suite's Google Docs, Sheets, Slides, and Sites. But it can be daunting to move an entire organization to a new product suite. In this video, Heather Traher, Ritcha Ranjan, and Amar Raol share some migration success stories, including best practices and learnings. Whether you're a prospective customer, a new customer or an experienced Docs user, this is a great opportunity to learn how to move to G Suite and take collaboration and produ |
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0:48:40 |
| 21 |
Cloud networking solutions that support hybrid cloud workloads (Google Cloud Next '17) |
As enterprises extend their network edge into the cloud, they can use a number of cloud networking features that enable the seamless connection of an enterprise data center to the cloud. In this video, you'll learn about Google Cloud Platform (GCP) features that can help you enhance your data center workloads with cloud based solutions. John Veizades covers physical connections to the cloud, options and selection criteria for connection to the cloud and cloud features that facilitate extending y |
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0:32:24 |
| 22 |
Enabling distributed digital business with API-first architecture (Google Cloud Next '17) |
Digital is not centralized -- it happens on your phone, at your partner's offices, in your stores, in your data centers, in your clouds. Digital demands an API-first architecture, which has very specific requirements for how software is built, where it runs, how it interacts with data, and how it talks with other software over many forms of networks from fast fiber to slow and intermittent mobile.This video will cover the foundations of the new digital business including containers and cloud for |
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0:33:32 |
| 23 |
Lifecycle of a machine learning model (Google Cloud Next '17) |
In this video, you'll hear lessons learned from our experience with machine learning and how having a great model is only a part of the story. You'll see how Google BigQuery, Cloud Dataflow and Cloud Machine Learning together enable a complete machine learning lifecycle. Dinesh Kulkarni, J.J. Allaire, and Hongfei Cao cover prep, training, online prediction, and model evaluation. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Lea |
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0:58:12 |
| 24 |
Designing secure UX into your products (Google Cloud Next '17) |
Security and user experience (UX) are two important aspects of good application design that are too often considered separately, usually with the result that the effectiveness of one comes at the expense of the other. In this video, Mandy Waite covers the latest best practices around designing and building good "Security UX" into your apps and services, and she dives deeper into how Google Cloud Platform (GCP) protects your users from various threats and intrusions, including phishing attacks an |
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0:59:16 |
| 25 |
How single purpose devices are transforming the workplace (Google Cloud Next '17) |
In this video, Vidya Nagarajan and Raj Duraismy discusses how to make every screen work for you, whether managing a distributed workforce, delighting your customers or transforming your business in this digital world. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:30:07 |
| 26 |
Designing reliable systems with cloud infrastructure (Google Cloud Next '17) |
In this video, Paul Newson discusses zonal, regional and global services in Google Cloud Platform (GCP). You'll hear tips on how to use these services to effectively design a service with the right balance of reliability and cost. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:48:55 |
| 27 |
BigQuery and Cloud Machine Learning: advancing neural network predictions (Google Cloud Next '17) |
The real value of BigQuery is not its speed. It's the power of "democratizing enterprise data." Because of BigQuery's scalability, you can isolate any workload on BigQuery from others. That means you can let non-engineers, such as sales, marketing, support and others, execute arbitrary quick-and-dirty SQL on BigQuery directly. Any employees in your enterprise can access its big data and quickly do data analytics without affecting performance to the production system. Now, imagine what would hap |
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0:45:43 |
| 28 |
Google Container Engine - The easiest way to use containers in production (Google Cloud Next '17) |
What is Google Container Engine and why is it the best way to run Kubernetes? Using Kubernetes as its foundation, Container Engine is built on openness and takes the pain out of managing infrastructure so you can put more focus developing your innovative applications. In this video, Robert Bailey and Chen Goldberg cover the basics of using Container Engine to develop and run your apps. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure |
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0:38:16 |
| 29 |
Location as a force multiplier: redefining what's possible for enterprises (Google Cloud Next '17) |
With the booming mobile eco-system, the proliferation of connected devices and the advancements in machine learning, it's clear that geospatial and user location data are quickly becoming "force multipliers" disrupting industries and redefining what's possible. In this video, Gayathri Rajan, Patrick Skoglund, and Michael Lovett cover recent developments across Google's Geo cloud solutions, including Google Maps API and Google Earth Engine, and highlight ways businesses can take advantage of our |
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0:56:52 |
| 30 |
Infuse Your Business with Machine Learning (Google Cloud Next '17) |
With machine learning, instead of programming a computer, you teach a computer to learn something and it does what you direct it to do. In this video, Lak Lakshmanan shares an overview of machine learning and how your business can benefit from it. He covers the spectrum of ways Google uses machine learning and how businesses can leverage the technology that we've open-sourced. You'll also learn how you can embed machine learning in your applications today and create new applications powered with |
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0:51:18 |
| 31 |
Developing mobile strategies with Android & Chrome (Google Cloud Next '17) |
In this video, Max Coppin demonstrates how to build mobile strategies tailored to your business growth and goals. With Android's diverse ecosystem of partners and devices, you can create an agile, comprehensive mobile strategy that helps keep your workforce productive and your data secure. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:44:32 |
| 32 |
Greater enterprise mobility: what's new and what's ahead for Android (Google Cloud Next '17) |
This video offers an in-depth look at how you can put Android to work for your organization. With a device for almost every use case (and budget), your users can be more secure and productive than ever, on an OS they love. Tom Watkins reviews the basics as well as takes a look at the latest and greatest enterprise features, what's coming next, deployment modes and best practices. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices her |
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0:49:14 |
| 33 |
Introduction to container development in Google Cloud Platform (Google Cloud Next '17) |
In this video, you'll learn how to launch your app in minutes with Helm Charts and services in Google Container Engine. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:43:46 |
| 34 |
API Design and What's new with Open API? (Google Cloud Next '17) |
Apigee and Google are active participants in developing the third draft of the Open API Initiative (OAI) Spec. In this video, hear what's new with the the Open API Specification (OAS) -- the vendor-neutral, portable, and open specification for providing technical metadata for REST APIs as well as latest trends in API design including topics such as Hypermedia and how the evolving OAI spec influences common patterns. Not just trends - this video is filled with real world examples. Missed the con |
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0:41:25 |
| 35 |
Bigtable in action (Google Cloud Next '17) |
Google's billion-user services like Gmail and Google Maps depend on Bigtable to store data at massive scale and retrieve data with ultra low-latency. Today, many use cases such as IoT, finance, mapping, advertising and dealing with time-series data, face similar demands. In this video, you'll learn how to integrate Cloud Bigtable into your application architecture to solve the challenges of storing and retrieving data for these and other use cases. We'll cover the specifics of the Cloud Bigtable |
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0:55:08 |
| 36 |
Running .NET Containers Google Cloud Platform (Google Cloud Next '17) |
Google Cloud Platform is great for running ASP.NET workloads and is well-known for its support for containers in App Engine Flex and Kubernetes. In this video, you'll learn how to deploy and manage your modern .NET apps on GCP. If you like working in .NET, containers, and GCP, this talk is for you. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:46:56 |
| 37 |
Apigee Edge Product Roadmap (Google Cloud Next '17) |
Learn what's on the horizon for Apigee Edge and what your organization can soon do with Apigee Edge as part of Googel Cloud Platform and get a sneak peak that we haven't shared with the broader public. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtHNJm |
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0:52:18 |
| 38 |
Google Cloud Platform's resilient and scalable software-defined cloud (Google Cloud Next '17) |
In this video, Amit Singhal, Srinivas Krishnan, and Assar Westerlund discuss the software-defined approach behind Google's cloud products and how that approach allows for resiliency and scalability. You'll learn how and why Google built a software-defined network and cloud, the key building blocks (Andromeda, Distributed systems etc.), how this approach enables us to build a wide range of products (router, VPN, firewalls, etc.), and more. Missed the conference? Watch all the talks here: https:/ |
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0:46:00 |
| 39 |
Container management and deployment: from development to production (Google Cloud Next '17) |
There are common questions around container management and deployment. What does a development and deployment workflow look like in a containerized world? What are my artifacts? How do I build them? Where do I store them? In this video, Kelsey Hightower walks you through the end-to-end workflow for building cloud applications on Google Cloud Platform (GCP) by leveraging Google Container Engine, Container Builder, and the Google Container Registry. You'll also have the chance to explore cloud-nat |
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0:39:16 |
| 40 |
Connected Retail & Devices (Google Cloud Next '17) |
With the changing buying patterns of consumers, retailers have had to rethink how they reach and engage their customers. In this video, Nick King takes you through how Google's connected workspace solutions can uniquely benefit retail. From store operations and optimization to employee training and insights, all ultimately creating the best customer experience both online and in-store. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devic |
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0:54:07 |
| 41 |
How to architect a collaborative big data platform (Google Cloud Next '17) |
Collaboration on big data can take place with effective storing, cataloging, and fronting of data sources with robust APIs so that developers can quickly build applications using multiple data sources without worrying about storage mediums or permissions. In this video, Sandeep Parikh shows you how to architect a collaborative data platform inside of Google Cloud Platform (GCP) and how to map it to the prototypical data lifecycle. Missed the conference? Watch all the talks here: https://goo.gl/ |
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0:33:12 |
| 42 |
Cloud's analytics tools for collecting & visualizing game telemetry & data (Google Cloud Next '17) |
In this video, Indranil Chakraborty, Venkat Rapaka, and José Ugia share an overview of the products that will help you build a complete IoT solution on Google Cloud. You'll learn how Android Things, the secured device operating system, makes it easy to get started with edge devices and how Google Cloud Pub/Sub, Dataflow, and Bigtable makes ingestion and analysis on a large volume of streaming data possible. They also discuss how Android Things, Weave, Cloud Pub/Sub, Cloud Dataflow, and Cloud Big |
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0:53:38 |
| 43 |
Waze: migrating a multi million user app to Google Cloud Platform (Google Cloud Next '17) |
Wondering how to migrate a large-scale service to Google Cloud Platform? Wazers can tell you how. In this video, Waze shares advice on migrating from another cloud provider to Google Cloud Platform. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:27:44 |
| 44 |
Lessons learned from securing both Google and Google Cloud customers (Google Cloud Next '17) |
Every second, billions of people are using Google Cloud to conduct business --- communicating via Gmail, storing docs in Drive, hosting, executing code, in Google Cloud Platform to build new products and companies. This provides Google with unique insight into the evolution of cybersecurity threats at every level around the world. In this talk, Andy Chang draws back the curtain on how Google creates a platform for trust that millions of businesses around the world rely on daily. He provides insig |
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0:37:09 |
| 45 |
Game changer: GCP's analytics tools to gather & envision game telemetry & data (Cloud Next '17) |
Game applications generate growing player telemetry and game event data. This data has the potential to provide insights into player behavior and their engagement with games. In this video, you'll learn two architecture patterns for processing game events: real-time processing of individual events using a streaming processing pattern and bulk processing of aggregated events using a batch processing pattern. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks |
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1:01:14 |
| 46 |
Building a video conferencing culture (Google Cloud Next '17) |
Through the deployment of Hangouts and Chromebox for Meetings, we've gone from spending $150M on a proprietary video conferencing solution that still couldn't connect all of our conference rooms to a fully connected workplace. With Hangouts and Chromebox for Meetings, virtually every room at Google that has a door is connected via in-room video conferencing, and the cost? Significantly lower than our prior solution. In this video, you'll learn from Google's internal IT team about how they've ena |
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0:33:30 |
| 47 |
A look into usability design at Google (Google Cloud Next '17) |
A behind-the-scenes look into Google's usability design philosophy and how you can apply what we've learned to your organization. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:36:50 |
| 48 |
ABCs of Google Container Engine: tips and best practices (Google Cloud Next '17) |
Google Cloud customers use Google Container Engine for cluster management and orchestration of containers and rely on its features for production monitoring, logging and troubleshooting. In this video, Piotr Szczesniak covers autoscaling, maintaining application SLOs, monitoring, troubleshooting and managing custom extensions to ensure smooth operations of your service. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here |
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0:35:14 |
| 49 |
Make Your Data Work For You: Master Dashboards with Data Studio and Sheets (Google Cloud Next '17) |
The proliferation of data has resulted in heightened demand for speedy access, analysis and visualization of data. In this video, you'll learn how to use Google Data Studio and Sheets to satiate the hunger for data in today's enterprise. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:51:08 |
| 50 |
Securing the enterprise by securing APIs (Google Cloud Next '17) |
In a world of mobile apps, cloud offerings, and microservices, where enterprise data is accessed with APIs in a zero-trust environment, deep API security is critical. In this video, Chris Latimer, Greg Brail, Prithpal Bhogill, and Ismail Elshareef discuss how organizations can protect against all kinds of external threats by enforcing a set of consistent security policies at the API proxy layer, creating proxies in front of their APIs with Edge, and using Edge/Sense to identify and mitigate bots |
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0:48:36 |
| 51 |
New Google Docs integrations to streamline your workflows (Google Cloud Next '17) |
We know you have more than one tool to do your job. That's why Brian Levee, Allen Yang, Ronen Vengosh, and Marshall Nam are announcing new integrations with a handful of major partners that will make it easier to get work done using Google Docs alongside the apps and services you use the most. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:34:58 |
| 52 |
Microservices and Kubernetes: New functionality to build and operate apps (Google Cloud Next '17) |
In this video you will learn, through presentations and demos, about new technologies for building and running microservices on Kubernetes coming from Google and the open source community. This video covers ways to simplify publishing, discovery and provisioning of microservices with a service catalog. Additionally you'll see how to automate secure connections between microservices with bindings and enable intent-based network and API configuration. Finally you'll discover how to get a bird's ey |
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0:45:45 |
| 53 |
TensorFlow and Deep Learning without a PhD, Part 1 (Google Cloud Next '17) |
With TensorFlow, deep machine learning transitions from an area of research to mainstream software engineering. In this video, Martin Gorner demonstrates how to construct and train a neural network that recognises handwritten digits. Along the way, he'll describe some "tricks of the trade" used in neural network design, and finally, he'll bring the recognition accuracy of his model above 99%. Content applies to software developers of all levels. Experienced machine learning enthusiasts, this vi |
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0:55:52 |
| 54 |
Fireside Chat with Vint Cerf & Marc Andreessen (Google Cloud Next '17) |
Join two Internet legends for a discussion moderated by Quentin Hardy (formerly of the New York Times) on the evolution of enterprise computing. Starting with stories from the early days of TCP/IP and the browser, the panel will then go on address key strategic questions about computing: What lessons did we learn about business adoption and computing trends from the '90s that are relevant today? When thinking about today's shift to cloud computing, is there a "right" or "wrong" way for a company |
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0:33:53 |
| 55 |
Secure, private environments in the cloud & on-prem with Virtual Clouds (Google Cloud Next '17) |
Google Cloud allows you to expand with on-demand capabilities as you need them, but how can your organization enjoy those advanced capabilities in a secure, private environment that's completely isolated, policy controlled and automated and allows granular delegation to your developers and administrators? In this video, Ines Envid, Neha Pattan, and Stefan Lindblom walk you through how Google Cloud Virtual Private Cloud (VPC) provides you with a secure and flexible sandbox to run your cloud workl |
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0:59:10 |
| 56 |
Development best practices for mobile and web service APIs (Google Cloud Next '17) |
When it comes to app development, there can be a disconnect between the robust app you intended to build and the code you actually get into a minimum viable product. Taking any shortcuts can end up causing error conditions once under load in production. Google Maps maintains Python, Java, Go and Node.js client libraries that reflect best practices for mobile app development with web service APIs. In this video, you'll learn about rate limiting, retries with exponential backoff, key security and |
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0:35:48 |
| 57 |
Power your Java workloads on Google Cloud Platform (Google Cloud Next '17) |
On Google Cloud Platform (GCP), you can easily take a standard Spring Boot application, run it on our platform and use the power of our diagnostics to gain insights into what's going on with your application in production. Amir Rouzrokh goes through this flow by deploying the application to the cloud via our build tooling. He also shows you how to use Cloud Tools for IntellIJ to dig into production problems live. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more |
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0:52:00 |
| 58 |
Implementing reusable and consistent policies for your APIs at scale (Google Cloud Next '17) |
Reusability, standardization, and the ability to apply consistent business policies becomes important as APIs proliferate in your organization. In this video, you will learn what kind of functionality is typically required in multiple places and how "hardcoding" minimum contract conditions can be done with APIs. Bala Kasiviswanathan covers: security, logging (generating standard error messages), mediation (transforming XML/JSON message formats). reusability, shared flows and flow hooks. Missed |
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0:51:00 |
| 59 |
24/7 resiliency (Google Cloud Next '17) |
From Site Reliability Engineering (SRE) to Customer Reliability Engineering (CRE) and Cloud Ops, there's a lot involved in keeping the Google cloud running, scaling and performing, across our organization and by extension for our customers. In this video, Mahesh Kallahalla, Luke Stone, and William Bonnell give you a close look into the internal procedures we use to continually improve reliability. They also discuss best practices for interacting with Google in order to reduce mean-time-to-detect |
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0:43:41 |
| 60 |
Flexible development with the Google Maps APIs (Google Cloud Next '17) |
Google Maps APIs provide a seamless experience for enterprise application development. Whether you want to provide one-click navigation for your sales force or reduce shipping errors by address auto-completion, it often takes just a few lines of code to achieve your goals. In this video, you'll learn how the Google Maps APIs enable you to delegate to Google Maps, incorporate maps, customize/integrate maps or orchestrate maps data into your own apps/sites. From prototype to production, you'll lea |
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0:41:11 |
| 61 |
Building scalable apps with Cloud Datastore (Google Cloud Next '17) |
Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API. See how you can get started building a serverless mobile and web application using Cloud Datastore. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
0EIqacNVuAo |
0:44:06 |
| 62 |
What's new with Chrome browser for enterprise and Chrome enterprise support (Google Cloud Next '17) |
Chrome browser is better than ever and fast, safe, simple, and secure. Control and manageability is offered and Chrome is easy to install and deploy. Watch to learn how a secure browser with managed settings leads to a more secure and safer work environment. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:19:47 |
| 63 |
Getting the most out of Google Admin Reports and BigQuery (Google Cloud Next '17) |
G Suite data analytics and reporting tools help organizations gain visibility into security risks, collaboration trends and productivity. In this video, you'll learn how to investigate incidents using detailed audit logs on Gmail, Drive, Calendar and other G Suite tools and how to create custom reports for G Suite apps on BigQuery. You'll also hear about integration of G Suite reporting with internal apps using the Reports API. Missed the conference? Watch all the talks here: https://goo.gl/c1V |
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0:41:16 |
| 64 |
Using Google's Identity as a Service (IDaaS) for GCP and G Suite (Google Cloud Next '17) |
Managing policy and identity can get complicated for largescale organizations. In this video, Karthik Lakshminarayanan, Ameet Jani, and Tejas Dharamshi show you how to use Google Admin and Single Sign-On (SSO) to securely and centrally manage all users and cloud applications. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtHNJm |
BnOzrgPQBGU |
0:50:19 |
| 65 |
Customer Successes with Machine Learning (Google Cloud Next '17) |
TensorFlow is rapidly democratizing machine intelligence. Combined with the Google Cloud Machine Learning platform, TensorFlow now allows any developer to leverage deep learning technology without spending top-level expertise or top-level costs. In this video, Riku Inoue and Bryan Lares share how a car auction service and a global insurance company were able to adopt TensorFlow and Cloud Machine Learning to solve real-world business problems and improve customer service and product excellence. |
BwWg__HVfsM |
0:47:06 |
| 66 |
Trust in the Cloud: The Flawed Premise of On-Premise Solutions (Google Cloud Next '17) |
With the rise of Cloud-based technologies like G Suite, deciding who to "trust" with one's corporate data is one of the largest decisions CISOs, CIOs, CFOs, and other corporate leaders are making today. Will your company be more secure with on-premise or Cloud-based solutions? How can you know? In this video, Suzanne Frey and Reena Nadkarni discuss what makes Google Cloud solutions (like G Suite) the best choice for your organization by uncovering oft-hidden and highly-strategic aspects of Googl |
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0:44:12 |
| 67 |
Best practices for Enterprise AI Assistants (Google Cloud Next '17) |
This video will show you the different types of AI Assistants you can deploy to the enterprise, and how to effectively use Google Cloud to build them. Amir Shevat, Head of developer relations at Slack, has overseen 17K+ bots deployed on the platform. He presents a maturing model, as best practices, for enterprise bots covering all sorts of use cases ranging for devops, HR, and marketing. Then, Alan Ho from Google Cloud shows you how to use Google Cloud to build these bots. He gives a demo of S |
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0:56:05 |
| 68 |
One CIO's Experience Making a Real Difference Through the Power of Cloud (Google Cloud Next '17) |
Hear from the former CIO for the State of Wyoming on how his team closed data centers, consolidated IT, reinvented the development life-cycle and proved that Innovation at the Speed of Government was not a punchline. Wyoming's journey to the cloud has resulted in award winning changes you won't want to miss. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:51:53 |
| 69 |
Driving product excellence with user feedback (Google Cloud Next '17) |
Fast Company recently published "How to Test Products Like a Googler," which featured insights we've learned from our Trusted Tester and Early Adopter programs. Gill Ward, Ben Drury, Lindsay Moore, and Joseph Bears dive deeper into their learnings with a focus on how their products benefit from user testing and feedback. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:46:35 |
| 70 |
How Airbus scales pools of worker for satellite images processing (Google Cloud Next '17) |
In this video, you will learn about the various ways of autoscaling Instance Groups and which option Airbus chose to implement its satellite images processing workflow. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:55:26 |
| 71 |
Data Modeling for BigQuery (Google Cloud Next '17) |
BigQuery is a different data warehouse, permitting new approaches to data modeling. To get the most out of this system, Dan McClary and Daniel Mintz examine where old assumptions of schema design come from, as well as how BigQuery allows them to challenge those assumptions to produce data models which are easier to query and more performant. Additionally, they examine this parallel evolution of assumptions in Business Intelligence, and how modern tools such as Looker can take full advantage BigQ |
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0:57:36 |
| 72 |
Serverless computing options with Google Cloud Platform (Google Cloud Next '17) |
From Functions-as-a-Service to Backend-as-a-Service, even Big Data-as-a-Service, Serverless is taking many different shapes. Learn what these mean and how Google Cloud Platform (GCP) is building technology to make sure there's nothing standing between you and running your code. You'll see live demos of integration between Firebase, Cloud Functions, Cloud Pub/Sub (and even machine learning) to build autoscaling apps in record time - all without managing servers or application runtimes. Missed th |
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0:52:06 |
| 73 |
Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17) |
In this video, you'll learn how data transformation services, dynamic work rebalancing, batch and streaming autoscaling and automatic input sharding make Cloud Dataflow auto-awesome. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:54:05 |
| 74 |
Persistent Disk Deep Dive (Google Cloud Next '17) |
Google Persistent Disk provides durable and high performance block storage for Google Cloud Platform (GCP). In this video, database administrators and solution architects will learn the different types of persistent disk (HDD and SSD), performance capabilities and management features. You'll learn best practices for running high-performance databases and large scale compute workloads on GCP. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastruc |
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0:30:03 |
| 75 |
Optimizing the Value of Data Processing (Google Cloud Next '17) |
Understanding cloud pricing can be difficult. In this video, Peter-Mark Verwoerd helps you understand the benefits and costs of specific data analytics products. You'll learn the differences between the Google Cloud data analytics products and their pricing. Peter also discusses common data analytics use cases and show you how you can use data analytics at your own organization to help achieve your business goals. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch mor |
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0:48:40 |
| 76 |
Trends in data security for email (Google Cloud Next '17) |
Email is likely the lifeblood of your organization, but it can also be a major conduit for security attacks and abuse. How can you keep it safe, and by extension protect your organization? In this video, Gilad Golan and Nicolas Lidzborski discuss the latest developments in email security and share what Google's doing to protect all users. You'll also learn best practices for managing email security in your organization. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watc |
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0:48:48 |
| 77 |
Building serverless applications with Google Cloud Functions (Google Cloud Next '17) |
Google is thinking differently about what it means to be Serverless. In this video, you'll learn what serverless means to us as we deep dive into Google Cloud Functions, our Serverless compute offering. Jason Polites discusses the API and the design, as well as shares some demos. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:31:21 |
| 78 |
Enterprise security on your mind? G Suite tools can help. (Google Cloud Next '17) |
How secure is your enterprise? Regain control over your data in the cloud. Learn the tools to help you get there - from Google Data Loss Prevention to mobile management and more. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:42:55 |
| 79 |
Machine Learning APIs by Example (Google Cloud Next '17) |
Think your business could make use of Google's machine learning expertise when it comes to powering and improving your business applications, but do you get stuck on building and training your own custom model? Google Cloud Platform (GCP) offers five APIs: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API and Cloud Video API. These APIs access pre-trained machine learning models with a single API call. In this video, Sara Robinson shares an overview of |
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0:38:36 |
| 80 |
Nest on GCP: Real-time IoT analytics and algorithms at enterprise scale (Google Cloud Next '17) |
At Nest, we have a broad array of data arriving every second, and managed infrastructure is key to minimizing operational overhead. Sam McVeety, Kevin Peterson, and Peter Grabowski look at building IoT algorithms and analytics on managed services like App Engine, Cloud Dataflow, BigQuery, and more, zooming in on how they enable you to focus on an excellent customer experience all the way from a prototype to a production feature. Missed the conference? Watch all the talks here: https://goo.gl/c1 |
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0:36:44 |
| 81 |
Google Cloud Storage: tips for reliability, performance and scalability (Google Cloud Next '17) |
In this video, Michael Yu explores techniques and best practices for improving reliability, performance and scalability on Google Cloud Storage. You'll learn how to avoid scaling bottlenecks caused by object naming, how to evaluate different storage class tradeoffs between performance and availability, how to optimize your retry strategy to simultaneously reduce tail latency and error rate, how to debug performance problems on remote requests, how to avoid common upload performance pitfalls, and |
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0:44:47 |
| 82 |
Data processing: Achieving optimal performance automatically (Google Cloud Next '17) |
Performance is great, but what's even better than finely-tuned, benchmark-optimized systems? Performance that's geared towards your exact needs. In this video, Jelena Pjesivac-Grbovic demonstrates how Google Cloud Platform's (GCP) data processing provides best-in-class performance out of the box, with no need for fine-tuning or manual optimization. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/Ocq |
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0:38:57 |
| 83 |
Google on Google: How Google manages its own employees' devices (Google Cloud Next '17) |
Watch the video to hear about the techniques that Google uses to secure its endpoints globally. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:46:07 |
| 84 |
Moving your Spark and Hadoop workloads to Google Cloud Platform (Google Cloud Next '17) |
For those who use popular open source data processing tools like Apache Spark and Hadoop, there can be several steps involved before being able to really focus on the data itself: creating a cluster to use the open source tools, finding a software package to easily install and manage the tools, then finding people to create jobs and applications and to operate, maintain and scale your clusters. In this video, you'll learn how you can use Google Cloud's managed Spark and Hadoop service, Google Cl |
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0:50:18 |
| 85 |
Kubernetes and Google Container Engine (Google Cloud Next '17) |
In this video, Aparna Sinha and Kelsey Hightower demonstrate how to set up your clusters for scale and availability across zones and regions. They will cover, storage provisioning, cluster federation and the latest in scalability for your production container applications. Joining this video is George Yanni, head of lighting for Philips Hue, for a first hand customer perspective of using Google Container Engine to scale your production service. Missed the conference? Watch all the talks here: |
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0:54:42 |
| 86 |
Google Security Services for Android : Mobile Protections at Google Scale (Google Cloud Next '17) |
Google SafetyNet and Verify Apps protects over 1 billion Android devices with built-in endpoint security services, anti-virus, and protection for lost and stolen devices. Watch this video to learn about how these systems work, and how to best incorporate them into your enterprise and applications. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:49:56 |
| 87 |
Designing and implementing disaster recovery systems in GCP (Google Cloud Next '17) |
Service-interrupting events can happen at any time. When things go awry, it's important to have a robust, targeted and well-tested disaster recovery plan. In this video, Grace Mollison covers how you can use Google Cloud Platform (GCP) as part of your disaster recovery (DR) plan, whether you're running production workloads on GCP, on premises or on another cloud. She also discusses the GCP products that should be part of your DR toolbox, including Cloud Storage and Deployment Manager, so you're |
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0:33:56 |
| 88 |
Reimagining Education with Technology (Google Cloud Next '17) |
Google envisions a future of education that is collaborative, inspiring, and personalized for every student. In this video, Rajen Sheth explores the ways that technology can enable this vision, and he hears from educators and school leaders who are harnessing technology to drive measurable impact for learning. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:43:53 |
| 89 |
The Future of the Meeting Room (Google Cloud Next '17) |
Hear about G Suite's newest technology for the meeting room and how it can help bring teams together. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:25:20 |
| 90 |
Introduction to big data: tools that deliver deep insights (Google Cloud Next '17) |
In this video, William Vambenepe explains some big data basics and provide a survey-level introduction to Google Cloud's big data tools, including Google BigQuery, Cloud Dataproc, Cloud DataLab and Cloud Dataflow. You'll learn how to harness the power of big data with these tools, so that you can turn insights into strategies for your own organization. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/O |
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0:59:04 |
| 91 |
APIs and Artificial Intelligence (Google Cloud Next '17) |
A fundamental goal for every business is to keep users attention and focus on their products or services. Combining APIs with AI leads to better stickiness. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtHNJm |
dKSqXvIYops |
0:52:01 |
| 92 |
A cloud networking blueprint for securing your workloads (Google Cloud Next '17) |
Securing your workloads in the cloud requires shifting away from the traditional "perimeter" security to a "pervasive, hierarchical, scalable" security model. In this video, Prajakta Joshi, Subbaiah Venkata, and Jigar Shah discuss cloud networking best practices for securing enterprise and cloud-native workloads on Google Cloud Platform. They describe a network security blueprint that covers securing your virtual networks (VPCs), DDoS protection, using third-party security appliances and service |
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0:58:46 |
| 93 |
Improving utilization and portability with containers (Google Cloud Next '17) |
Interested in learning best practices for adopting containers? Migrating from VMs is a gradual process. In this video, Craig Box, Lee Chang, and Bob Wise explain how to take your existing workloads and move them, one by one, to cloud native, distributed apps. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:50:00 |
| 94 |
Google Cloud Endpoints: serving your API to the world (Google Cloud Next '17) |
Learn about Google Cloud Endpoints and how it can make your application available to anyone in the world, all while keeping your servers protected, your data secure, and your clients happy. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtHNJm |
bR9hEyZ9774 |
0:54:57 |
| 95 |
Jamboard: Brainstorming and ideation on a cloud-powered whiteboard (Google Cloud Next '17) |
Learn about Jamboard and how it can make your application available to anyone in the world, all while keeping your servers protected, your data secure, and your clients happy. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration and Productivity here: https://goo.gl/q3WbLc |
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0:29:02 |
| 96 |
The Power of Geolocation (Google Cloud Next '17) |
Enterprise customers use the Google Maps Geolocation API to reimagine location-based solutions - from real-time asset tracking to corporate location compliance to IoT device management. In this video, Laurence Moroney covers common geolocation use cases and implementation tips that allow you to deliver accurate latitude and longitude without GPS. You'll learn how to combine geolocation data with Google's visualization APIs and other web services to create great experiences for your employees, cl |
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0:31:21 |
| 97 |
Using Google Apps Script to automate G Suite (Google Cloud Next '17) |
In this video, you'll learn how to use Google Apps Script to automate G Suite. Paul McReynolds discusses discuss triggers, custom menu items, add-ons and other features that help you make Google Docs, Sheets, Slides and other G Suite tools work better to meet the needs of your organization. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:52:17 |
| 98 |
Stackdriver: monitor, diagnose, and fix (Google Cloud Next '17) |
As a developer, you know that the possibility of encountering an unexpected problem, big or small, is ever looming. Sometimes these problems are obvious and easy to fix. Other times though they take some work to track down and even more work to verify that you've actually fixed the bug. In this video, Aja Hammerly uses Stackdriver to find and fix some subtle errors in an example app, and you'll learn how to use Stackdriver on your own projects. Missed the conference? Watch all the talks here: h |
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0:23:50 |
| 99 |
Using Google Container Engine to deploy scalable and secure PHP applications (Google Cloud Next '17) |
Does setting up a scalable and secure PHP application sound insurmountable? Are you building your apps with the LAMP stack? This video will teach you how to use Google Cloud Platform's (GCP) security and scalability in the PHP ecosystem. Learn how to deploy LAMP to Google Container Engine and separate MySQL and application code into distinct containers to handle increasing traffic. By the end of the video, you'll know how to deploy an autoscaling Wordpress cluster using Kubernetes. Missed the c |
9PedC_6ZC3Q |
0:46:48 |
| 100 |
API Product Management (Google Cloud Next '17) |
Unlike a previous generation of APIs that connected big enterprise systems but remained under IT's lock and key, modern APIs must be managed as products -- designed to accelerate, delight and support any developer's journey. This video discusses how API product management is different, best practices for managing APIs as products, and lessons learned from Jon Spinney, Director of Product Management at Pitney Bowes, a global technology company processing billions of commerce transactions a day. |
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0:44:44 |
| 101 |
GCP Public Datasets Program: Share and analyze large-scale global datasets (Google Cloud Next '17) |
Publicly available large datasets hold great potential to better the world. In this video, Felipe Hoffa introduces the Public Datasets Program by Google Cloud Platform. The program gives dataset owners a terrific platform to share their data, so that users across the world can easily leverage these datasets for large-scale analytics. You'll learn how you can participate in this program, whether you want to broadly share your data or hope to glean insights from large public datasets. Missed the |
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0:45:34 |
| 102 |
Monitoring and improving your big data applications (Google Cloud Next '17) |
In this video, Andrea Foegler shares an overview of Stackdriver support specific to each component of the Google Cloud Platform (GCP) data and machine learning stack. She also discusses additional monitoring tools, including the Google Cloud Dataflow console. You'll learn how to leverage Stackdriver support in big data applications and how to consume metrics for downstream analysis and understanding. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about B |
hEteVlEHa60 |
0:58:06 |
| 103 |
Managing the hybrid data lifecycle (Google Cloud Next '17) |
Businesses want to leverage the cloud to reduce data management costs and enable new use cases such as high-scale analytics and machine learning, but a significant amount of the data is generated and stored on-premises. In this video, learn how to transparently, and continuously, move data from heterogeneous on-premises infrastructure to Google Cloud Platform (GCP) without requiring any changes to existing users or applications. You'll also learn how you can dynamically find the data you need an |
tGJBIY7AOLc |
0:36:56 |
| 104 |
What to consider when developing mobile apps (Google Cloud Next '17) |
Building applications for mobile devices flips a number of traditional developer assumptions on their heads. In this video, Laurence Moroney explores the key considerations when building for mobile, and how the latest offerings from Firebase and Google Cloud Platform (GCP) can help you meet new challenges. He gets hands on with the tools you can use today to address topics like poor connectivity, serverless computing, data validation, and access control. Missed the conference? Watch all the ta |
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0:49:47 |
| 105 |
From blobs to relational tables: Where do I store my Data? (Google Cloud Next '17) |
Google Cloud Platform (GCP) offers many options for storing your data. From Cloud Storage (Multi-regional, Nearline, Coldline) to the various database services (Cloud Datastore, Cloud SQL, Cloud Bigtable) and data warehousing (BigQuery), learn about the most common workloads and common patterns for data storage. Dominic Preuss and Dave Nettleton discuss decision criteria and the various tradeoffs to consider when choosing your method of data storage. Missed the conference? Watch all the talks h |
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0:48:53 |
| 106 |
Processing data at scale with Google Cloud Bigtable, Dataflow, and Dataproc (Google Cloud Next '17) |
Watch WePay and Outbound as they describe how they use Google Cloud Bigtable together with the Google Cloud Platform suite of big data processing services to derive intelligence and solve critical business problems at scale. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
dcSeF51HP3U |
0:47:57 |
| 107 |
Gaining full control over your organization's cloud resources (Google Cloud Next '17) |
In this video, Rae Wang, Ray Colline, Lukas Karlsson, and Seth Vargo discuss how you, as an administrator, can use Google Cloud Platform's (GCP) management features, including the Organization Node, Folders, Projects, Labels, Service Accounts, IAM, Org Policy and more, to fully control your cloud resources. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
gE_8zDoCY84 |
0:55:24 |
| 108 |
Transform customer service with machine learning (Google Cloud Next '17) |
It's easy to analyze one customer conversation, but what if you have thousands of messages all coming in at once? Google Cloud Platform (GCP) has a suite of machine learning products to help you understand customer service data. In this video, you'll learn how to use Cloud Machine Learning, along with the Cloud Natural Language, Speech, and Translation APIs to analyze customer emails, tickets and calls in real time. You'll also hear from a Google Cloud customer on how they're using our machine l |
bRnN4pBAsfc |
0:41:38 |
| 109 |
Open source data processing on Google Cloud Platform (Google Cloud Next '17) |
The great power provided by open source data processing tools has often come with the burden of great responsibility. The open source data processing ecosystem, including Apache Spark and Apache Hadoop, is robust but frequently hard to administer, use at scale and manage. Google Cloud Platform (GCP), as the open cloud, can help you utilize these OSS tools at scale, cost effectively, with hands-off management. By combining Google Cloud's strengths in both software and hardware, we offer Google Cl |
rLJBSAo2dKE |
0:44:25 |
| 110 |
Writing Infinitely Scalable and High Performance Apps with App Engine (Google Cloud Next '17) |
App Engine provides Google-scale managed infrastructure so you can do what you do best - write code. Come learn about how it can help you host infinitely scalable and high performance apps. Karan Goel presents a walkthrough of multi-tier architecture, autoscaling, module-independent scaling and more. You will also learn how Datastore and Pub/Sub can make your app hyper-performant. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Oper |
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0:45:43 |
| 111 |
Alerting best practices - the thin line between informing and over-informing (Google Cloud Next '17) |
What are some effective ways to learn that your production services are going south? Is there such a thing as over-alerting? In this video, Amir Hermelin and Thomas Rast cover the do's and don'ts of good alerting strategies. They go over best practices --- both at Google and industry-wide. Then they cover some Stackdriver-specific tips and tricks. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:44:23 |
| 112 |
Deploying Windows-based infrastructure on Google Compute Engine (Google Cloud Next '17) |
Google's infrastructure, with dramatic price-to-performance advantages, customizable VM sizes, state-of-the-art networking and security capabilities makes Google Cloud Platform a great place to run your Windows workloads. In this video, Amruta Gulanikar, Ben Miller, and Michael Michael provide an overview of our offerings that allow for seamless integration with Windows applications and infrastructure. They discuss the ease of deploying Windows workloads on GCE, tools for configuring, and managi |
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0:47:26 |
| 113 |
Location-powered, on-demand economy: providing value with Google Maps APIs (Google Cloud Next '17) |
Local ridesharing and last mile delivery have attracted billions of dollars in the last few years. To succeed at scale, these local on-demand economies rely on a number of maps and location services to efficiently connect supply and demand. In this video, Vishal Goenka discusses the essential components that reduce operational costs for the fastest growing companies in this market. You'll learn how to combine Google Maps APIs to provide value to management, the workforce and the customer. Miss |
uoc3TE56fEw |
0:43:23 |
| 114 |
Transform Retail with Machine Learning: Find & Recommend products (Google Cloud Next '17) |
Businesses today are realizing that they can use machine learning to improve customer experience. With the most recent models, you can simplify product discovery by using Product Image Search (Google Cloud Vision API), understand customer sentiment (Google Cloud Natural Language API), and optimize Inventory Level (Google Cloud Machine Learning). In this video, you'll learn how you can transform the shopping experience with machine learning. Missed the conference? Watch all the talks here: https |
mA_JGDYWriY |
0:44:12 |
| 115 |
Lifecycle of a migrated application (Google Cloud Next '17) |
In this video, Peter-Mark Verwoerd and Brian Stark walk you through a migration from start to finish and show you the full process for a single application. They start with evaluation of applications, followed by setting up accounts and permissioning (IAM), projects, networks, developer workflow and regional decisions. They also discuss mechanics and best practices for migrating data and VM's as well as testing and optimization. Missed the conference? Watch all the talks here: https://goo.gl/c |
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0:31:29 |
| 116 |
How Descartes Labs uses PostgreSQL on GCP (Google Cloud Next '17) |
Explore PostgreSQL offerings on Google Cloud and learn how Descartes Labs uses PostgreSQL on GCP as part of their application stack to forecast production. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:44:11 |
| 117 |
Location-based gaming: trends and outlook (Google Cloud Next '17) |
Location-based gaming presents an opportunity to engage customers and build brand loyalty. This requires an accurate representation of the real world, dependable data about places and objects, and the ability to sense motion, direction and speed. In this video, Clementine Jacoby covers emerging trends in the space of map-based augmented reality and location-aware gaming. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: |
HDyXsZfNXoo |
0:34:38 |
| 118 |
Building G Suite add-ons with Google Apps Script (Google Cloud Next '17) |
From creating a customized document approval system to creating customer financial functions for spreadsheets, G Suite add-ons let you build exactly what your organization needs. In this video, you'll learn how to build add-ons for Docs, Sheets and Forms with Google Apps Script. Mark Fashing and Daniel Florey share a few quick demos that will include custom apps that advance productivity and collaboration. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks a |
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0:40:35 |
| 119 |
Developing made easy on Google Cloud Platform (Google Cloud Next '17) |
Google Cloud Platform (GCP) has tools built by developers, for developers, using many languages. In this video, Omar Ayoub demonstrates libraries, IDE integration, framework integration and other tools that make developing applications on GCP easy and intuitive for developers. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
ykzCUFwHppI |
0:45:49 |
| 120 |
Accelerating Marketing Insight with Google Cloud (Google Cloud Next '17) |
Learn how Advertisers and Publishers lower their time to customer insight on Google Cloud. Damian Lawlor, Matt Tai, Ian Liddicoat, Matthew Granish, Peter Jaffe, and Allan Beaufour show you how GCP's data products and data/visualization partner ecosystems provide a clearer view of your business by breaking down your data silos. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:52:28 |
| 121 |
Machine learning powering the workforce: Quick Access in Google Drive (Google Cloud Next '17) |
Machine learning powers many of Google's products and services, because effiency, innovation and advanced capabilities are as important to our team as it is to yours. In this video, Mike Procopio deep dives into the machine learning behind Quick Access in Google Drive. You'll learn how you can use machine learning to find solutions for large or everyday challenges that your organization may confront. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about C |
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0:42:14 |
| 122 |
Zero to App: Live coding an app with Firebase and GCP (Google Cloud Next '17) |
Firebase and Google Cloud Platform (GCP) together help developers build extraordinary mobile and web apps. In this video, Frank van Puffelen crafts an app live on stage and demonstrates how to create a great user experience using Firebase. We'll then extend this by calling into GCP APIs, without having to spin up servers or manage infrastructure. You'll experience firsthand how easy it is to build with Firebase, and how easy it is to scale with Google Cloud. Missed the conference? Watch all the |
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0:47:06 |
| 123 |
Google Cloud Functions and Firebase (Google Cloud Next '17) |
Firebase's SDKs make it easier to build successful mobile and web apps, and Firebase and Google Cloud Platform (GCP) work closely together to offer a streamlined mobile developer experience. Learn about our latest collaboration and how to extend Firebase backend services with your own code using Google Cloud Functions. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:35:21 |
| 124 |
Cloud Spanner 201: getting the most out of Cloud Spanner (Google Cloud Next '17) |
As goes with most application databases, there are many tips and tricks for database schema and SQL queries that best optimize performance of your Cloud Spanner database. In this video, Dominic Preuss and Peter Bakkum share these tips and tricks at a high level so you can create your Spanner database schemas with optimal performance in mind. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:39:37 |
| 125 |
Moving back and forth between batch and stream processing (Google Cloud Next '17) |
Stream processing is now the default way to ingest and analyze data. In this video, Tyler Akidau and Loic Jaures describe the model that makes this possible, efficient and easy. They also show you that model in action, by presenting how Teads processes 30 billion streaming events per day. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:51:52 |
| 126 |
Building enterprise-ready apps with the Team Drives API (Google Cloud Next '17) |
Learn about the changes that the Team Drives API introduces for developers, especially around sharing and folder parenting. See how some our biggest partners updated their apps to make use of the Team Drive functionality. Get a preview of how Team Drives opened up completely new use cases for Slack. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:42:33 |
| 127 |
Hybrid Cloud Storage Tiering with Google Cloud Storage (Google Cloud Next '17) |
Why back up to cloud rather than traditional backup media like tape or disk? And if an organization does decide to backup to cloud, how can it manage the backups in order to achieve optimal recovery time objective (RTO) and recovery point objective (RPO) while reducing backup costs? In this video, Ben Chong and Ralph Wynn answer these questions and share how to use Google Cloud Storage with standard, Nearline and coldline storage to optimize your backup and recovery processes while minimizing yo |
d6pHBbf0oQk |
0:28:05 |
| 128 |
Your next app might be a bot! Building conversational UX with API.AI (Google Cloud Next '17) |
Machine Learning technology has finally evolved to the point that it can support your customers interacting with your business through natural human language. In this video, you will learn how to use API.AI to map the near infinite variety of human language into your existing business systems. Whether you are investing in IoT, chat-based bots (e.g., Facebook Messenger, Slack), or integrating with the Google Assistant, understanding human language is the user interface model of the future that yo |
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1:00:20 |
| 129 |
Building massive online worlds with SpatialOS and Google Cloud Platform (Google Cloud Next '17) |
Architecting and building massively multiplayer online games is often limited by the scale of computing power that can be accessed to power them, and the network expertise available to build such a platform. During this video, Mark Mandel and Rob Whitehead look at how you can build immense, persistent online worlds via the partnership of Improbable's SpatialOS distributed computing and Google Cloud Platform's (GCP) scalable infrastructure, without having to worry about scale, data synchronisati |
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0:38:37 |
| 130 |
Making Teams & Organizations More Effective with Cloud Machine Learning (Google Cloud Next '17) |
How to use G Suite products and their inherent team-based functionality to make teams - not simply individuals - more efficient and productive. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
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0:30:27 |
| 131 |
Cloud computing for Higher Education (Google Cloud Next '17) |
Cloud computing is reshaping every industry. What does the Cloud mean for higher education? In this video, Bram Bout, Benny Ayalew, and Paul Rossman provide an overview of the impact cloud computing tools are having on infrastructure & operations, application development, and big data and machine learning. Then they discuss how tools like Google Cloud Platform can help universities innovate and become more efficient in their campus IT, business processes (e.g. recruitment, admissions), research |
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0:35:08 |
| 132 |
Build powerful custom apps fast with App Maker on G Suite (Google Cloud Next '17) |
App Maker is G Suite's low-code app development tool that lets developers quickly build and deploy custom apps tailored to their company's needs. Learn how citizen developers can quickly build apps to automate the small but manual tasks that clog up their workstream, and how experienced developers can use Apps Script and our APIs to build even richer functionality. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: h |
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0:46:15 |
| 133 |
Using Android apps on Chromebooks for greater productivity and flexibility (Google Cloud Next '17) |
In this video, Smita Hashim shows how you can use Android apps on Chromebooks to empower and enable a productive workforce. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:42:02 |
| 134 |
Globally scalable microservices with Container Engine & Cloud Load Balancing (Google Cloud Next '17) |
Running services in multiple datacenters comes with both benefits and complications. Benefits include higher availability and lower latency to global users. Complications, however, can mount, especially for hybrid and multi-cloud deployments that face considerable security and connectivity constraints. So you may settle for running your services in a single region or even a single zone. In this video, Sandeep Dinesh looks at how Kubernetes and containers can make systems easier to manage and dep |
kmPBm-TQBSE |
0:45:12 |
| 135 |
The primary key to location intelligence (Google Cloud Next '17) |
Humans navigate a world made up of places with names, addresses and phone numbers --- not latitude/longitude coordinates. The Google Places API enables an app or website to present location data to users in a human-centered fashion. In this video, Laurence Moroney deep dives into how you can use the Places API to discover your environment. You'll learn how to use detailed insights on web and mobile. You'll see recently-released widgets, and learn how you can optimize for mobile device battery li |
C4ehfdQPFnQ |
0:47:19 |
| 136 |
Reimagining human computer interaction with Cloud Speech API (Google Cloud Next '17) |
Learn how Cloud Speech API enables developers to build a new genre of applications. Cloud Speech API enables users to interact with your mobile and IoT applications in a whole new way. In addition, it enables new opportunities for generating insights from existing audio sources (e.g., phone calls or videos). Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:40:37 |
| 137 |
Smart, Secure, and Modern app delivery for enterprises and cloud-natives (Google Cloud Next '17) |
Google Cloud's modern application delivery enables both enterprises and cloud-natives to move away from fixed form factor apps to highly available, scalable, composeable, low-latency cloud services with a global footprint. Google's software-defined network and network services along with open innovations provide the foundation for delivering these services. Prajakta Joshi and Anna Berenberg describe how you can use Google Cloud to deliver global reach and scale with Global Load Balancing and Clo |
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0:57:01 |
| 138 |
Apps Script monitoring and analytics with Stackdriver Logging and BigQuery (Google Cloud Next '17) |
In this video, you'll learn how to use Stackdriver Logging to monitor errors and log events from Google Apps Script. Paul McReynolds discusses how this integration helped improve Yet Another Mail Merge, a successful add-on for Google Sheets. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:44:25 |
| 139 |
Google Cloud Platform loves Ruby (Google Cloud Next '17) |
Ruby developers welcome! Our dedicated Google Cloud Platform (GCP) Ruby team has built a great experience for Ruby developers using GCP. In this video, Remi Taylor walks through the steps to deploy, debug and scale a Ruby on Rails application on Google App Engine. You'll also learn about some of the exciting Ruby libraries available today for adding features to your app with GCP services like BigQuery and Cloud Vision API. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h W |
hYiPlwtyZkg |
0:50:48 |
| 140 |
Enterprise app development best practices + deployment (A) (Google Cloud Next '17) |
In this video, Matt Goodridge discusses the overall vision for Android in the enterprise and where innovation is happening. He also covers how partners might work with us as well as tips on app management. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:54:47 |
| 141 |
Developing for speed: minimizing app latency at scale (Google Cloud Next '17) |
You know that latency matters. Lower latency correlates to an increase in user engagement, sales and user satisfaction. In this video, Chris Broadfoot talks about sources of latency, how to investigate it (including benchmarking, profiling and tracing), how to minimize it and how to approach application design and make architectural decisions with latency in mind. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https:// |
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0:29:54 |
| 142 |
Learning Technology & Machine Learning (Google Cloud Next '17) |
In this talk, Jonathan Rochelle provides a history lesson of how humans taught machines to be intelligent. He then applies those same concepts to how humans teach each other, and what this means for the future of our schools, classes, and the technology we use for learning. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
Jzbf3KaD42A |
0:41:12 |
| 143 |
Visualizing big data on Google Cloud (Google Cloud Next '17) |
In this video, you'll learn how to visualize data on Google Cloud and connect a variety of tools to your big data to gain and communicate insights. Tim Swast and Vaidy Krishnan share how you can build interactive visualizations and dashboards with Tableau, Data Studio and others tools. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:49:19 |
| 144 |
Close the deal with G Suite: empowering sales teams (Google Cloud Next '17) |
Different departments in your organization have different needs when it comes to enterprise tools and services. In their multi-part power user series, Zeina Oweis and Vishnu Sivaji break it down by specialty to show you how to serve the varying groups of power users within your organization. In this video, Zeina and Vishnu discuss how power users specializing in sales can be more fluid and agile in the way they pitch customers using collaborative tools like Google Slides. Missed the conferenc |
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0:32:12 |
| 145 |
Preventing Overfishing with Machine Learning and Big Data Analytics (Google Cloud Next '17) |
Machine learning is becoming a powerful and important aspect of analytics workloads. Amy Unruh and David Kroodsma look at how the Global Fishing Watch project has used Google Cloud Dataflow analytics, Google Cloud Machine Learning, and BigQuery to help monitor and reduce overfishing across the world. In the process, they show you how you can use Dataflow to transform a data stream for distributed training of a deep neural net on the Cloud Machine Learning platform, and use Cloud Machine Learning |
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0:51:33 |
| 146 |
Keeping patient healthcare data secure on Cloud Platform (Google Cloud Next '17) |
HIPAA compliance on GCP - what it means for users. Learn how Google enables users to host protected health information on GCP and best practices for managing the data once it is there. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
wdFo_CtQNfA |
0:54:43 |
| 147 |
Migrating your data warehouse to Google BigQuery: Lessons Learned (Google Cloud Next '17) |
BigQuery Data Warehousing customers often migrate their DW from another source or grow from a small project. This video will provide details on data migration, scaling up and the best practices for a smooth transition. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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1:01:52 |
| 148 |
Guide to Google Cloud Platform billing (Google Cloud Next '17) |
In this video, Ian Lewis and Vic Iglesias explain the nitty-gritty of Google Cloud Platform billing. They discuss in detail how each service gets billed and how to understand where your money is spent. You'll learn how to use Google Cloud Platform and DataStudio to understand your bill and find new ways to cut costs. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
qL8kvTb4RbU |
0:36:14 |
| 149 |
Scalable Deployments and Updates in Compute Engine (Google Cloud Next '17) |
In this video, Pawel Siarkiewicz demonstrates how the Managed Instance Group features reduce manual effort in deploying and maintaining software on groups of instances. Starting with a simple Docker container deployment, you will see how you can build up to a scalable, highly available service. Then, Pawel will show you how to roll out a new software version using the upcoming Updater feature and how to configure the update for testing, safety, speed, maintenance or minimal disruption. You'll se |
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0:42:21 |
| 150 |
Gmail Add-ons: A new way to integrate your app into Gmail (Google Cloud Next '17) |
Gmail is more than just a mailbox -- for many of us it's a task list. But the problem is that we use different tools in the cloud to get those tasks done. What if there was a way to bring those apps closer to Gmail, to help you get more done, faster? In this video, Thijs van As, Krzysztof Obłucki, Devana Bhargava, and Ursula Shekufendeh show how developers can bring their apps into Gmail and showcase some exciting demos from some of their early partners. Missed the conference? Watch all the talk |
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0:32:24 |
| 151 |
Saving Money on Compute Engine (Google Cloud Next '17) |
Compute Engine features a number of ways to optimize your spending. Many of these are automatic, but some of the best advantages can be realized by making small adjustments based on the details of your workloads. In this video, Paul Nash reviews all the ways Compute Engine helps you spend less, and look at real customer use cases to illustrate the possibilities. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https: |
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0:46:06 |
| 152 |
Easily prepare data for analysis with Google Cloud (Google Cloud Next '17) |
80% of data analysts and scientists time is spent in data preparation, including finding, cleaning and organizing data, and this is also the least favorite part of their job (according to Forbes). Accelerating the data preparation process will help you to gain insights from the data faster. Watch this video to understand the best practices and explore tools for preparing data quickly and easily. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big D |
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0:49:29 |
| 153 |
Metrics that matter (Google Cloud Next '17) |
Google has been building reliable, performant, scalable cloud-hosted software services since 1997. And along the way from 10 requests per second to 100 million per second, we've learned a few things about how to measure a software service - and also how not to. This talk will cover the three operational metrics which we consider most critical for every service Google offers. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations |
iF9NoqYBb4U |
0:22:53 |
| 154 |
How to use Chromebooks to build and advance teams (Google Cloud Next '17) |
Get an in-depth look at a new type of computer for everything you love to do. In this video, you'll hear about Chrome's cloud-based capabilities and learn how your organization can make the most of the ultimate shared device. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: https://goo.gl/yl1EqP |
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0:46:37 |
| 155 |
Extending the Google Assistant with Actions on Google (Google Cloud Next '17) |
The Google Assistant is the conversational user interface that helps you get things done in your world. Actions on Google let you build on this assistance, while your integrations can help you engage users through Google Home on Pixel, Android and many other devices that connect with Google Assistant. In this video, Guillaume Laforge shares the latest innovations behind the Google Assistant and how you can leverage those technologies and best practices for Voice User Interface design to build yo |
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0:55:44 |
| 156 |
The Innovation behind Google's Data Centers (Google Cloud Next '17) |
Joe Kava, VP Google's global data centers, talks about what makes our data center performance best in class. Learn about our expansion, our end-to-end highly secure and reliable environment, and how Google became the world leader in data centers. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:26:03 |
| 157 |
Bigtable, BigQuery, and iCharts for ingesting and visualizing data at scale (Google Cloud Next '17) |
Bigtable is a low-latency, high-throughput NoSQL analytical database. BigQuery is a high-performance data warehouse with a SQL API. In this talk, Carter Page and George McMullen discuss how you can use both of these tools together with iCharts to ingest, analyze, and visualize data at scale. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
2HUB4uu7K2k |
0:47:56 |
| 158 |
Large scale and batch computing on Google Compute Engine (Google Cloud Next '17) |
In this video, you'll learn how to think about and architect batch processing systems on Google Compute Engine (GCE). Michael Basilyan and Eric Brewer cover reference architectures applicable to business, engineering, and scientific applications as well as how to efficiently leverage GCE instances, networks, and disks. They also discuss best practices for scaling your workloads up to tens of thousands of cores. You'll learn cost-saving strategies, such as the use of Preemptible VM instances, so |
Tq6JPXoKdcM |
0:49:42 |
| 159 |
A GCP developer's guide to building real-time data analysis pipelines (Google Cloud Next '17) |
In this video, you'll learn how to build a real-time event-driven data processing and analysis pipeline on Google Cloud Platform (GCP). Rafael Fernandez and Slava Chernyak show you how to ingest large-scale data streams and how to perform real-time normalization, aggregation and complex computation. You'll also learn how to create real-time dashboards and how to advance your data warehouse and machine learning skills. They cover tools and features in Google Cloud Pub/Sub, Cloud Dataflow, Cloud |
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0:50:17 |
| 160 |
Sensitive data management for collaborative research clouds (Google Cloud Next '17) |
This video will discuss how users can leverage Google Cloud Platform to accelerate secure delivery of research/product pipelines using tools to manage sensitive content like PII. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:50:39 |
| 161 |
Using Apigee Edge to create and publish APIs that developers love (Google Cloud Next '17) |
In this video, you'll learn how Apigee Edge enables you to craft and publish APIs that developers will adopt rapidly. Greg Brail, Prithpal Bhogill, and Adam Brancato discuss aspects of a developer-friendly API, including API design best-practices, so that any developer can get productive and find quick success with your API. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtHNJm |
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0:54:17 |
| 162 |
Accelerating your development with Cloud Launcher and Orbitera (Google Cloud Next '17) |
Accelerate your development with 3rd party software and services. Google Cloud Launcher offers 200+ popular development stacks, solutions, and services optimized to run on Google Cloud Platform. Join us to learn about this marketplace of solutions and see how the combination of Orbitera test drives, single billing, pay-as-you-go, among other features can help you deliver projects quickly. You'll see an interactive demo and gain insights that you can apply immediately. Missed the conference? Wa |
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0:40:59 |
| 163 |
Stretching your DevOps dollar with App Engine (Google Cloud Next '17) |
Google App Engine's feature set is ideal for web and mobile API backends, and is particularly well-suited to microservices architecture. In this video, Evan Anderson dives into the features of Google App Engine that make it an attractive and cost-effective platform for building agile, customer-focused applications. You'll learn how to leverage App Engine to meet the ""SRE hierarchy of needs"" and enable your DevOps team to spend more time developing and less time on operations. Missed the confe |
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0:52:12 |
| 164 |
Securing and managing your big data environment (Google Cloud Next '17) |
Google Cloud Platform (GCP) unlocks the potential of your business with its analytics and machine learning tools --- from BigQuery, Cloud Dataflow and Cloud Datalab to Cloud Machine Learning. In this video, you'll learn how you can realize these capabilities efficiently, scalably, and securely in a production enterprise setting. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
XswZ6t9slcw |
0:46:34 |
| 165 |
Automating internal processes using Apps Script and APIs for Docs editors (Google Cloud Next '17) |
The number of G Suite customers automating their processes using G Suite APIs is growing. Maurice Codik and Sam Berlin share our developer offerings and how our customers use APIs and Apps Script to make their internal processes hum. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
OSGwZBSf4vs |
0:41:42 |
| 166 |
Storage on GCP: building solutions for media, financial services and more (Google Cloud Next '17) |
In this video, Jeff Kember and Steve MacPherson cover Google Cloud Storage options, cloud NFS file systems (open source and commercial offerings) and architecting high performance compute environments that take advantage of both CPU and GPU compute options. Though example workloads that they discuss are media oriented (rendering) - the framework they show is common among other HPC workloads, including those in financial services and genomics. In addition, they share industry best practices for c |
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0:54:32 |
| 167 |
Google Infrastructure Security Design (Google Cloud Next '17) |
In this video you will learn about Google's secure cloud infrastructure. Google has a global scale technical infrastructure designed to provide security through the entire information processing lifecycle at Google. This infrastructure provides secure deployment of services, secure storage of data with end user privacy safeguards, secure communications between services, secure and private communication with customers over the internet, and safe operation by administrators. Google uses this infra |
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0:41:36 |
| 168 |
Manage the full API lifecycle with Apigee Edge API platform (Google Cloud Next '17) |
You have a working API. What are the next steps to managing the entire API lifecycle? In this video, you'll learn the tools and capabilities of Edge, our advanced enterprise API platform. Greg Brail and Prithpal Bhogill discuss how to design, secure, deploy and analyze your API program from end to end. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtHNJm |
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0:57:17 |
| 169 |
Running Microsoft SQL Server on Google Compute Engine (Google Cloud Next '17) |
Running Microsoft SQL Server in Google Cloud Platform (GCP) is now easier than ever with pre-configured SQL Server images and support for SQL Server Always On Availability Groups. In this video, Feng Min discusses the use of unmanaged images, performance optimization and how to configure your SQL Server instances in GCE for high availability and disaster recovery. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: http |
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0:43:23 |
| 170 |
Team Drives: the collaborative, enterprise file server in the cloud (Google Cloud Next '17) |
In this video, Alex Vogenthaler discusses features, tips and tricks of Team Drives, our recent product launch that's aimed at advancing collaboration in the workplace. Alex dives into the latest feature set and even shares a sneak peek at what's currently in development. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
ywBuQZOHX-E |
1:00:31 |
| 171 |
Supercharge performance using GPUs in the cloud (Google Cloud Next '17) |
GPUs have thousands of compute cores and when coupled with lightning fast memory access they accelerate machine learning, gaming, database queries, video rendering and transcoding, computational finance, molecular dynamics and many other applications. With GPUs in the cloud, you can scale your calculation-heavy application without constructing your own data center. John Barrus gives an overview of what we're offering in Google Cloud and talk about how to put GPUs to work. He also showcases a num |
qESRdJy9WdE |
0:40:44 |
| 172 |
The future of team communications (Google Cloud Next '17) |
In this video, you'll hear about the latest additions to G Suite in the area of team communications. Scott Johnston discusses how you can use G Suite's integrated tool set to foster strong team culture, connectedness, and productivity. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
u5TdUM1PttU |
0:23:42 |
| 173 |
Simple, flexible, and secure Chrome OS solutions built for the future (Google Cloud Next '17) |
As businesses evolve, they need technology solutions that are simple, flexible and cost-effective to help them succeed today and build for tomorrow. Chrome provides solutions fit for the workplace of the future --- providing a secure, consistent user experience across a range of devices that can be used anywhere. Learn how your business can leverage ChromeOS in multiple ways. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Mobility & Devices here: htt |
pyXIMj173co |
0:43:59 |
| 174 |
Introduction to Video Intelligence (Google Cloud Next '17) |
In this video, you'll learn how to build a comprehensive catalog of your content by understanding the most important entities within your videos and identifying ads as well as inappropriate content using Google Cloud Vision API. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
y-k8oelbmGc |
0:44:05 |
| 175 |
Large-scale data ingest on GCP (Google Cloud Next '17) |
Getting your data into GCP is key to running Cloud workloads, whether in data analytics or machine learning. Ben Chong covers the various ways in which you can bring over your data, including the available tools and services, best practices and partner solutions. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
ahpHQrXMmwg |
0:24:29 |
| 176 |
G Suite on retainer: empowering legal teams (Google Cloud Next '17) |
Different departments in your organization have different needs when it comes to enterprise tools and services. In their multi-part power user series, Vishnu Sivaji, Allen Yang, and Mike Chasan break it down by specialty to show you how to serve the varying groups of power users within your organization. In this video, they discuss how power users from your legal team can use Google Docs to speed everything from contact drafting to deal negotiation. Missed the conference? Watch all the talks h |
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0:45:18 |
| 177 |
How to use Apache Spark MLlib to train and run machine learning models (Google Cloud Next '17) |
In this video, you will learn how to train and run machine learning models using Apache Spark's MLlib on Dataproc. You will also learn how you can access your important business data in BigQuery and Cloud Storage. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:41:10 |
| 178 |
Build user trust: running containers securely with Google Container Engine (Google Cloud Next '17) |
In this video, Alex Mohr and Jessica Frazelle cover all the ways you can secure your Kubernetes cluster using a Certificate Authority, Authentication, Secrets and more. They also describe and demonstrate the ways you can use Seccomp, AppArmor, SELinux and cgroups to make your application containers as secure as possible --- so you can build organizational and customer trust. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations |
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0:44:45 |
| 179 |
Firebase analytics for BigQuery (Google Cloud Next '17) |
Firebase helps mobile app developers build more successful apps, and Firebase Analytics plays an important role in making this happen. In this video, Arun Venkatesan and Todd Kerpelman give you a tour of Firebase Analytics. They cover the kind of information it can -- and can't -- provide for your mobile applications, explain what types of data it records (and in what format), and then explain how you can use Google BigQuery with that raw data to run even more sophisticated analyses. Finally, th |
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0:27:47 |
| 180 |
You can run that on App Engine? (Google Cloud Next '17) |
Since 2007, App Engine has made building and deploying production scale applications for the web easy. App Engine is great for certain application patterns, but sometimes our apps don't fit these patterns so cleanly. We want to choose our favorite language to get the job done. When something goes wrong, we need full control and SSH directly into the machine running our code. Join Justin Beckwith for a tour of App Engine Flex, and learn how you can move beyond PaaS. Missed the conference? Watch |
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0:42:34 |
| 181 |
Empower your business with G Suite Marketplace apps (Google Cloud Next '17) |
G Suite Marketplace is the hub for a variety of apps that integrate with and enhance G Suite. Learn how to use Maketplace apps for automation of administrative tools, task management, CRM and more. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Connected Business Platform here: https://goo.gl/CtHNJm |
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0:37:18 |
| 182 |
Optimize Cloud SQL performance and availability (Google Cloud Next '17) |
Get the most from Google Cloud SQL: Google's fully-managed database service that makes it easy to set up and maintain your relational databases in the cloud. In this video, Stanley Feng and Brett Hesterberg show you how to scale performance and securely connect to Cloud SQL from anywhere in the world. They dive into Cloud SQL's architecture to understand tradeoffs between performance and availability and discuss important considerations for instance sizing. You'll come away knowing how to get th |
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0:46:58 |
| 183 |
Startups share insights on building enterprise solutions (Google Cloud Next '17) |
In this video, four different startups share their experiences building on Google Cloud. LiftIgniter is a machine learning personalization layer powering user interactions on every digital touchpoint. Incorta aggregates large, complex business data in real-time. Twistlock is a leading provider of enterprise container security solutions. Greta is a peer-to-peer distribution script, turning visitors on your website & app into distributing points of presence (POPs). Missed the conference? Watch al |
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0:43:14 |
| 184 |
Best practices for Identity and Access Management on Compute Engine (Google Cloud Next '17) |
How do you maintain control while taking advantage of the power and scale of Compute Engine? Eric Bahna shares best practices for mapping common organizational structures into Compute Engine using IAM roles, service accounts, and more. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:45:10 |
| 185 |
Open as a Disruptor for Government (Google Cloud Next '17) |
How do you get an organization that is spending more than $10bn a year on the technology for its administration to change course? How do you keep the lights on and re-engineer the technology to be radically smaller, simpler and cheaper? How do you introduce cloud first policies? It's about culture change, it's about collective leadership, it's about trust and a lot of it is about removing blockers. We started with the Square of Despair - the four blockers of technology change - Procurement, Capa |
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0:32:42 |
| 186 |
Orbitera & Apigee: Accelerating Monetization (Google Cloud Next '17) |
Cloud customers expect and demand flexible pricing, multiple deployment options, and limitless scale for cloud-based solutions. Learn how Orbitera and Apigee can help you scale and monetize your existing and future cloud products while accelerating your Go-to-Market timelines. This video includes a use case where Orbitera, Apigee & Android are enabling Pitney Bowes cloud product and service delivery across millions of connected Android-powered devices. Missed the conference? Watch all the tal |
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0:35:49 |
| 187 |
Apache Beam: From the Dataflow SDK to the Apache Big Data Ecosystem (Google Cloud Next '17) |
Early last year, Google and a number of partners initiated the Apache Beam project with the Apache Software Foundation. The core technology came from the Google Cloud Dataflow SDK, which evolved from years of internal research and development at Google. Taking a project with over a decade of engineering momentum behind it from within a single company and successfully building a thriving and diverse community to own it and drive it forwards has been a humbling and rewarding experience. Learn how |
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0:39:07 |
| 188 |
TensorFlow and Deep Learning without a PhD, Part 2 (Google Cloud Next '17) |
Deep learning has already revolutionized machine learning research, but it hasn't been broadly accessible to many developers. In this video, Martin Gorner explores the possibilities of recurrent neural networks by building a language model in TensorFlow. What this model can do will impress you. Developers with no prior machine learning experience are welcome. We do recommend that you watch the video ""TensorFlow and deep learning without a PhD part 1"" unless you already know about dense and c |
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0:56:06 |
| 189 |
Building more reliable integrations with G Suite Reseller APIs (Google Cloud Next '17) |
Learn how to use smart test accounts and the new Notification APIs to make your G Suite Reseller integration more reliable and robust. Prashant Yadav shows you how test accounts and notifications make it easy to create stronger integrations. Prashant also goes over the most important technical aspects in integrating with G Suite Reseller APIs, and offers advice on how to tackle the more challenging pieces. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks a |
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0:32:53 |
| 190 |
Introduction to Google Cloud Machine Learning (Google Cloud Next '17) |
Google Cloud is at the forefront of developing cutting-edge machine learning technology. Computer vision, predictive modeling, natural language understanding, and speech recognition are among the most popular business related uses of machine learning so far. In this video, you'll learn how to leverage machine learning for your own business applications. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl |
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0:57:54 |
| 191 |
Spinnaker: continuous delivery from first principles to production (Google Cloud Next '17) |
Continuous Delivery (and Deploy) is a new look at how we should get our deployable artifacts into production. Google's been doing this for quite some time with success, and we have opinions and corresponding best practices based on lessons we've learned. Steven Kim shares a set of first principles behind continuous delivery with tangible examples from Waze. He also demonstrates how users can take advantage of these first principles today using Spinnaker. Missed the conference? Watch all the tal |
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0:46:03 |
| 192 |
Managing encryption of data in the cloud (Google Cloud Next '17) |
Can management of encryption keys be easier in the cloud than on-premise? During this video, Maya Kaczorowski discusses the continuum of encryption options available, from encryption of data at rest by default, to Cloud Key Management System, to Customer Supplied Encryption Keys. You'll learn how our encryption tools allow management of your own keys, including generation, rotation and destruction of those keys. She also shares best practices for managing and securing secrets. Missed the confer |
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0:28:20 |
| 193 |
Running open-source Databases on Google Cloud Platform (Google Cloud Next '17) |
Learn about the various options for running open-source databases on GCP, both self-managed and fully-managed. We will also do a deep dive with Quizlet about how to run MySQL effectively and efficiently on GCP. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:41:45 |
| 194 |
Advanced BigQuery features: keys to the cloud datawarehouse of the future (Google Cloud Next '17) |
Google BigQuery has a lot of features you may not know about: undelete, partitions, table searches and even time-travel. In this video, Dan McClary and Jordan Tigani introduce these advanced concepts and show you how to supercharge your work with them. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:42:35 |
| 195 |
How Kubernetes Works: Community Velocity & Contributions (Google Cloud Next '17) |
Kubernetes is a very successful project today, based on stars analysis it is in top 0.01% of all github projects. Why is it successful? The technology is part of it. But we think that what makes Kubernetes special and successful is its community. In this talk, we will describe the organization and evolution of the Kubernetes community. How we organize technical decision making and overall project roadmap. What makes it possible to have an open and growing community. What ensures the quality and |
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0:47:01 |
| 196 |
IoT and Cloud for Industrial Applications (Google Cloud Next '17) |
In this video, Indranil Chakraborty, Willem Sundblad, Edwin Poot, and Giby Raphael explain how to use IoT, Cloud Pub/Sub, Dataflow, Biqquery and Cloud Machine Learning to solve business needs in the utilities and manufacturing segments. Google Cloud customers from each of these verticals showcase how they're using Google Cloud products to transform their industries. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: ht |
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0:56:12 |
| 197 |
On-device machine learning: TensorFlow on Android (Google Cloud Next '17) |
In this video, Yufeng Guo applies deep learning models to local prediction on mobile devices. Yufeng shows you how to use TensorFlow to implement a machine learning model that is tailored to a custom dataset. You will come away knowing enough to get started solving your own deep learning problems. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
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0:24:53 |
| 198 |
Building high performance microservices with Kubernetes, Go, and gRPC (Google Cloud Next '17) |
In this talk Andrew Jessup walks through the essential elements of building a performant, secure and well factored micro-service in Go and how to deploy it to Google Container Engine.You'll also learn how to use Google Stackdriver to monitor, instrument, trace and even debug a production service in real time. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:44:33 |
| 199 |
Case Study: A peek into how Vendasta uses Google's security posture (Google Cloud Next '17) |
In this video, Ameet Jani, Dale Hopkins, and Christiaan Brand share how we enable consistent and comprehensive trusted connections based on geo location, device state, strong authentication and video management. They also discuss how to connect to upcoming products and Cloud Firewall for an end-to-end security solution regardless of your device or application. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: ht |
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0:40:16 |
| 200 |
Apache Beam: Portable and Parallel Data Processing (Google Cloud Next '17) |
Apache Beam provides a portable standard for expressing robust, out-of-order data processing pipelines in a variety of languages across a variety of platforms. In this video, you'll learn about the capabilities of the Beam model for both batch and streaming data processing. You'll also learn how a single Beam pipeline can run on multiple runners (Cloud Dataflow, Apache Flink, Apache Spark, etc.). Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big D |
owTuuVt6Oro |
0:37:37 |
| 201 |
Accelerating Investor Insight: Commercial Data on GCP (Google Cloud Next '17) |
Learn how our partners are distributing financial data like historical currency/metal prices, real estate valuations/predictions, news, and weather via Google Cloud Platform. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k |
CYom6GU0kqQ |
0:39:56 |
| 202 |
Make time: Why we spend our most productive time on the wrong things (Google Cloud Next '17) |
Time management is hard, and most of us struggle. We procrastinate; we overcommit; we underestimate how long things take; we spend too much time in meetings, and crucially we don't spend enough time on our health, relationships, or 'real work'. It sounds bleak, but somehow, some people seem to manage much better than others! In this video, Ian Leader and Jacob Bank talk about the behavioral psychology that underlies these mistakes and share some techniques to harness Gmail and Google Calendar to |
mMr-WzCIXYI |
0:30:21 |
| 203 |
The ins and outs of networking in Google Container Engine and Kubernetes (Google Cloud Next '17) |
Smoothly handling Google Container Engine and networking can take some practice. In this video, Tim Hockin and Michael Rubin discuss migrating applications to Container Engine, networking in Container Engine, use of overlays, segmenting traffic between pods and services, and the variety of options available to you. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
y2bhV81MfKQ |
0:47:02 |
| 204 |
Authenticating service-to-service calls with Google Cloud Endpoints (Google Cloud Next '17) |
As you build out your microservice infrastructure, one thing to think about is how you authenticate calls from one service to another. Google Cloud Endpoints gives you powerful authentication on Google App Engine, Google Container Engine, Google Compute Engine and anywhere else. In this video, you'll learn how to authenticate service-to-service calls with Cloud Endpoints on Google Cloud and beyond. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Con |
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0:45:10 |
| 205 |
Bringing billions of eBay listings together using Cloud Bigtable to support new shopping experiences |
Googler Misha Brukman and Leon Stein from eBay discuss how Cloud Bigtable handles eBay's global catalog with billions of listings, scaling to hundreds of terabytes with many millions of reads and writes, and gigabytes of data transferred in and out every second. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Application Development here: https://goo.gl/YFgZpl |
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0:54:19 |
| 206 |
Deciding between Compute Engine, Container Engine, App Engine and more (Google Cloud Next '17) |
There are many different ways to think about running code these days. And the tradeoffs are different when you're working with existing systems as opposed to designing an entirely new system. Google Cloud Platform (GCP) offers solid support for the full spectrum of compute models. Brian Dorsey helps you navigate the tradeoffs and decide which models are the best fit for your systems as well as how the models map to Google Cloud services --- whether Compute Engine, Container Engine, App Engine and/ |
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0:44:41 |
| 207 |
G Suite: Data Protection and Regulatory Compliance (Google Cloud Next '17) |
Are you adequately protecting your organizational data? In this video, Marc Crandall discusses recent trends in the data protection space and share tools you can leverage to help address your compliance needs. You'll learn how you can partner with Google to enhance data security and meet global regulatory obligations. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Collaboration & Productivity here: https://goo.gl/q3WbLc |
odoTMwDg82Y |
0:52:53 |
| 208 |
Third-party networking solutions for layer 7 networking on GCP (Google Cloud Next '17) |
Enterprise users who have traditionally relied on appliance vendors to support security and layer 7 networking services have demands that we weren't able to address on Google Cloud Platform (GCP) in the past. Today, we're doing everything we can to meet those demands. In this video, leading third-party solution vendors who are helping us better serve users will describe the solutions that they're delivering to support traditional security and layer 7 networking solutions in the cloud. Missed th |
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0:46:34 |
| 209 |
Cloud Spanner 101: Google's mission-critical relational database (Google Cloud Next '17) |
In this video, Dominic Preuss shares an overview of Google Cloud Spanner, Google's mission-critical, relational and scalable application database, which is now publicly available as a managed service on Google Cloud. You'll learn how Cloud Spanner evolved, how Google uses it internally, and how you can use it for your next project. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:44:50 |
| 210 |
Crossing the River by Feeling the Stones (Google Cloud Next '17) |
Deng Xiaoping once described managing the economy as crossing the river by feeling the stones---in other words, have a direction, but be adaptive. But in a world of constant change, how do you determine the right thing to do? Which pebble to tread on? How do you understand where you're going and where you need to go? How do you know if your strategy is right? Is there even such a thing? Simon Wardley examines the issue of situational awareness and explains how it applies to the world of open sour |
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0:55:31 |
| 211 |
Best practices for managing Container Engine Clusters across multiple teams (Google Cloud Next '17) |
Your responsibility is to provide services for internal users. How do you run Google Container Engine (GKE) cluster(s) to enable multiple teams to run applications in a heterogeneous environment. Do you create a single cluster and partition with namespaces or do you create a cluster per team? For environments with multiple clusters, how do you federate access control? How do you ensure the right level of access for each cluster. This video will walk through some of the best practices associated |
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1:01:57 |
| 212 |
Recommended for G Suite Apps Program: Fill in your software stack (Google Cloud Next '17) |
We built G Suite to integrate with many commonly used apps, so you can spend less time managing your software and more time growing your business. The Recommended for G Suite Program endorses third-party app partners that we believe meet the security standard and integration depth that will give customers like you a great experience. In this video, you'll learn about the program and hear from joint customers who have achieved their business objectives with help from our recommended app partners. |
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0:55:50 |
| 213 |
Driving Success through Diversity & Inclusion: Lessons from Leaders in Tech (Google Cloud Next '17) |
Time and again, research has shown that creating diverse and inclusive work environments can contribute to innovation and vibrant businesses. But while meaningful change is possible, the barriers to combat unconscious bias and stereotypes can be daunting. To learn some of the ways that the tech industry has been driving success through heterogeneous work environments and inclusive thinking, we've invited 5 change makers to share their stories. Join Jeanette Calandra (Managing Partner PwC), Bridg |
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0:46:49 |
| 214 |
Google Cloud Jobs API: How to power your search for the best talent (Google Cloud Next '17) |
Google Cloud Jobs API uses machine learning to help companies build a compelling career site search experience that helps candidates easily find the jobs most relevant to them. The API has been powering the Google career site for months and is also deployed at large companies such as Johnson and Johnson. In this video, you'll learn how you can deploy the Jobs API on your career site to power your efforts to hire the best people. You'll also learn how the API uses machine learning to understand t |
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0:43:23 |
| 215 |
Reduce Enterprise Total Cost of Ownership: Go Cloud Native with G Suite (Google Cloud Next '17) |
Total cost of ownership is a key consideration when working with any enterprise solution. With G Suite's cloud native, streamlined approach, costs can stay low while productivity rises. In this video, Allan Livingston discusses the cost benefits of going all in on the cloud rather than remaining in a hybrid environment. He also looks closely at the cost benefits of a fully integrated collaboration technology set and integrated security and management capabilities. Missed the conference? Watch a |
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0:48:41 |
| 216 |
How to implement Cloud-scale rendering in Cloud Platform (Google Cloud Next '17) |
In this video, Jeff Kember and Hannes Ricklefs will discuss high-performance rendering on Google Cloud Platform. Topics covered will include security, connecting to the cloud, effective use of preemptible VMs, cloud file systems, licensing and additional VFX workloads including simulation and deep compositing. Hannes Ricklefs, Head of Core-Engineering at MPC will be speaking about their Academy Awarding winning VFX work. Disney's The Jungle Book required MPC to deliver work of unprecedented visu |
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0:58:34 |
| 217 |
Cloud Datastore 101: Overview of Google's scalable NoSQL document database (Google Cloud Next '17) |
Find out what Google Cloud Datastore gives you, including Cloud Dataflow integration, a browser based editor, and a cross-platform API. See how you can get started building a serverless mobile and web application using Cloud Datastore. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Infrastructure & Operations here: https://goo.gl/k2LOYG |
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0:37:36 |