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# Challenges in Kubernetes | ||
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It’s one thing but it’s a really big thing: the lifecycle of software in the | ||
Kubernetes world is fraught with complexity and requires continual analysis and | ||
realignment. And as a company and its teams grow, those difficulties increase | ||
disproportionately. | ||
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That analysis is performed by the scarcest and one of the most expensive teams | ||
in any company: DevOps. DevOps needs to address a variety of overlapping goals | ||
and deal with sometimes competing objectives: | ||
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- Providing a frictionless workflow to engineering, to enable rapid prototyping and iterations | ||
- Application security, with the clear objective being zero trust | ||
- Application monitoring, testing and debugging | ||
- What tools will be chosen, how they’ll be implemented, provisioned, monitored and supported | ||
- Microservice and Pod proliferation - and resultant and continuous increases in costly resources (compute, memory, storage) | ||
- Providing for n - 1, n and n + 1 versions in multiple environments - a challenge magnified in dev, where the need to provide isolation results in drastic increases in resource demands | ||
- Dealing with multiple vendors on a discrete basis for licenses, support contracts, maintenance and upgrades | ||
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… and this is just the tip of the iceberg |
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