𝗖𝗮𝗰𝗵𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗳𝗼𝗿 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗔𝗽𝗽𝘀

𝗖𝗮𝗰𝗵𝗶𝗻𝗴 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗳𝗼𝗿 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗔𝗽𝗽𝘀

Caching makes your app fast. It also creates bugs. Stale data gives wrong answers. Cache stampedes crash your database.

Place cache at the right layer.

• Use browser caching for static assets.
• Use CDNs to bring content closer to users.
• Use Redis to lower database load.

Invalidation is the hardest part.

• Time-based (TTL).
• Event-based (purge on change).
• Write-through (update on write).

Use the cache-aside pattern.

• Check the cache first.
• Return data if it is there.
• Load from the database if it is missing.
• Put the data in the cache.

Stop cache stampedes. Use mutex locks. Refresh popular keys before they expire.

Set the right TTLs.

• Rare data: Hours or days.
• User data: Minutes.
• Real-time data: Seconds.

Watch your hit rate. A healthy rate is above 80%. A drop means a bug or traffic change.

Build for today. Do not over-engineer for a scale you do not have. Use boring technology. Measure performance before you optimize.

Add observability from day one. You need structured logs and RED metrics. Fixing production bugs is impossible without them.

Use these professional tips.

• Use idempotency keys to stop duplicate requests.
• Use database transactions for multi-record updates.
• Use circuit breakers to handle slow services.

Source: https://dev.to/therizwansaleem/caching-strategies-for-fullstack-applications-a-practical-guide-3d2n