+ A write-back cache is a type of caching mechanism where data
+ modifications are initially written to the cache rather than directly to
+ the main database. This approach enhances performance by reducing the
+ number of direct write operations to the database, as the cached data is
+ written back to the database at a later time. Write-back caching is
+ particularly beneficial in high-write frequency applications and
+ scenarios requiring quick data access and lower latency. However, it
+ requires careful management to ensure data consistency and integrity, as
+ there is a risk of data loss if the cache fails before the data is
+ written to the database.
+
+
+
+ When to Use Write-Back Cache:
+
+
+
+
+ When the application has a high
+ volume of write operations, and performance is critical. The
+ write-back cache can reduce the number of write operations to the
+ database, thus improving performance.
+
+
+ In scenarios where data can be
+ processed in batches, such as analytics workloads where intermediate
+ results can be cached and written to the database later.
+
+
+ When dealing with temporary
+ data that does not need immediate persistence, such as session data in
+ a web application.
+
+
+ When the database is hosted on a
+ remote server, and reducing the number of network calls is beneficial.
+
+
+ In cloud environments where
+ database writes incur cost, reducing the number of direct writes can
+ lead to cost savings.
+
+
+
+
+
+ When to Avoid Write-Back Cache:
+
+
+
+
+
+ When data integrity is
+ paramount, and any data loss due to cache failure is unacceptable,
+ such as in financial transactions.
+
+
+ In applications where write
+ operations are infrequent, the complexity and potential issues of
+ write-back caching may not be justified.
+
+
+ For real-time systems where
+ immediate data availability and consistency are required, such as live
+ trading platforms.
+
+
+ When data changes frequently and
+ needs to be immediately reflected across all systems and users, like
+ collaborative editing tools.
+
+
+ In simpler applications where
+ the overhead of managing a write-back cache might outweigh the
+ performance benefits.
+
+
+
+ )
+}
+
+export default Body
diff --git a/apps/website/src/app/articles/2024/06/26/[slug]/Content.tsx b/apps/website/src/app/articles/2024/06/26/[slug]/Content.tsx
index f0f2321..316bf30 100644
--- a/apps/website/src/app/articles/2024/06/26/[slug]/Content.tsx
+++ b/apps/website/src/app/articles/2024/06/26/[slug]/Content.tsx
@@ -2,100 +2,26 @@
import {Slogan} from '@/styled-components'
-import Label from '@/components/SimpleLabel'
import TopicAnalysisTable from '@/components/TopicAnalysisTable'
+import Body from './Body'
// import Mermaid from './Mermaid'
import {slogan} from './seo'
import {topicAnalysis} from './db'
+
+import Tags from './Tags'
+
// import diagram from './diagram'
const Content = () => {
- const listStyle = 'list-disc mx-6 mt-0 mb-5'
-
return (
+ {slogan}
-
- A write-back cache is a type of caching mechanism where data
- modifications are initially written to the cache rather than directly to
- the main database. This approach enhances performance by reducing the
- number of direct write operations to the database, as the cached data is
- written back to the database at a later time. Write-back caching is
- particularly beneficial in high-write frequency applications and
- scenarios requiring quick data access and lower latency. However, it
- requires careful management to ensure data consistency and integrity, as
- there is a risk of data loss if the cache fails before the data is
- written to the database.
-
-
-
- When to Use Write-Back Cache:
-
-
-
-
- When the application has a high
- volume of write operations, and performance is critical. The
- write-back cache can reduce the number of write operations to the
- database, thus improving performance.
-
-
- In scenarios where data can be
- processed in batches, such as analytics workloads where intermediate
- results can be cached and written to the database later.
-
-
- When dealing with temporary
- data that does not need immediate persistence, such as session data in
- a web application.
-
-
- When the database is hosted on a
- remote server, and reducing the number of network calls is beneficial.
-
-
- In cloud environments where
- database writes incur cost, reducing the number of direct writes can
- lead to cost savings.
-
-
-
-
-
- When to Avoid Write-Back Cache:
-
-
+
-
-
- When data integrity is
- paramount, and any data loss due to cache failure is unacceptable,
- such as in financial transactions.
-
-
- In applications where write
- operations are infrequent, the complexity and potential issues of
- write-back caching may not be justified.
-
-
- For real-time systems where
- immediate data availability and consistency are required, such as live
- trading platforms.
-
-
- When data changes frequently and needs to be
- immediately reflected across all systems and users, like collaborative
- editing tools.
-
-
- In simpler applications where
- the overhead of managing a write-back cache might outweigh the
- performance benefits.
-
-
)
diff --git a/apps/website/src/app/articles/2024/06/26/[slug]/Tags.tsx b/apps/website/src/app/articles/2024/06/26/[slug]/Tags.tsx
new file mode 100644
index 0000000..538984d
--- /dev/null
+++ b/apps/website/src/app/articles/2024/06/26/[slug]/Tags.tsx
@@ -0,0 +1,40 @@
+'use client'
+
+import {FC, useEffect, useState} from 'react'
+
+import {createGoogleGenerativeAI} from '@ai-sdk/google'
+import {generateText} from 'ai'
+
+import Body from './Body'
+
+export interface Props {
+ component: string
+}
+
+const Tags: FC = ({component}) => {
+ const [aiTags, setPromtPresponse] = useState>([])
+
+ console.log('Body', Body)
+
+ useEffect(() => {
+ if (aiTags.length > 0) return
+
+ const google = createGoogleGenerativeAI({
+ apiKey: process.env.NEXT_PUBLIC_GOOGLE_AI_KEY,
+ })
+ const model = google('models/gemini-pro')
+
+ generateText({
+ model,
+ prompt: `From the following react component: ${Body} please create five tags. Tags should be return as a plain text seperated with with comma`,
+ }).then(response => {
+ const tags = response.text.split(',')
+
+ setPromtPresponse(tags)
+ })
+ }, [aiTags])
+
+ return <>{aiTags.join(',')}
+}
+
+export default Tags