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What is Caching? - Definition & Meaning

Learn what caching is, how browser, CDN, and server caching work, and why caching is essential for web application performance.

Definition

Caching is the temporary storage of data in a faster-accessible location so future requests are handled more quickly. It reduces the load on databases and servers and improves user experience.

Technical explanation

Caching occurs at multiple layers. Browser caching stores static assets (CSS, JS, images) locally via Cache-Control and ETag headers. CDN caching places copies on edge servers worldwide for fast delivery. Server-side caching with Redis or Memcached stores computed results or database queries in memory. Application-level caching via frameworks (Next.js ISR, React Query) caches pages or API responses. The hardest challenge is cache invalidation: determining when cached data is stale. Strategies include TTL-based invalidation (data expires after a fixed duration), event-based invalidation (cache is cleared when data changes), and stale-while-revalidate (serve stale data while fresh data is fetched in the background). Cache-aside (lazy loading) is the most common pattern: the application checks the cache first, and on a miss, queries the database and caches the result. Write-through caching writes to both cache and database simultaneously. Cache stampede prevention via locking ensures that during a mass cache miss, not all requests simultaneously hit the database.

How MG Software applies this

At MG Software, we implement a multi-layer caching strategy. Next.js ISR caches pages at build time with revalidation. Vercel's edge cache serves static content at lightning speed. We use Redis for server-side caching of API responses and database queries. This combined approach ensures fast load times across all our client projects.

Practical examples

  • A news website using Next.js ISR to cache article pages and revalidate every 60 seconds, ensuring content loads quickly while remaining current.
  • An e-commerce platform using Redis to cache product catalog queries so the database processes only a fraction of requests and pages load in milliseconds.
  • A web application using stale-while-revalidate cache headers so users immediately see cached content while fresh data is fetched in the background.

Related terms

rediscdnload balancingdatabasemonitoring

Further reading

Redis for cachingCDN and edge cachingDatabase optimization

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Frequently asked questions

Cache invalidation is the process of removing or updating stale data in the cache. It is difficult because you must determine when data becomes invalid without losing the benefits of caching. Too-early invalidation increases load; too-late invalidation shows stale data. Strategies like TTL, event-driven invalidation, and stale-while-revalidate each offer their own trade-offs.
The main layers are: browser caching (locally in the user's browser), CDN caching (on edge servers worldwide), server-side caching (in-memory with Redis/Memcached), application-level caching (within the application layer), and database query caching (within the database itself). An effective caching strategy combines multiple layers.
Yes, common issues include displaying stale data, inconsistency between cache and database, and cache stampedes during mass invalidation. Well-designed cache invalidation, versioned cache keys, and monitoring cache hit rates help prevent these problems.

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