Fragment Caching: Cache Parts of Pages for Maximum Speed
Fragment caching allows you to store parts of your web pages in memory, so the next time that part is needed, it can be served directly from the cache i.
Caching Strategies Articles
50 articles
Full-Page Caching: Serve Static HTML at CDN Speed
Full-page caching is the secret sauce that lets you serve even dynamically generated HTML pages at CDN speeds, making your website feel impossibly fast .
Caching Fundamentals: How Every Layer of the Stack Uses Cache
Caching is the single biggest performance lever in almost every system, but its implementation is usually a messy, uncoordinated affair.
Cache GraphQL Queries Effectively Without Stale Data
Caching GraphQL queries without stale data is less about if you can do it, and more about how you structure your application to make it an afterthought.
HTTP Cache Headers Explained: Cache-Control, ETag, Last-Modified
HTTP Cache Headers Explained: Cache-Control, ETag, Last-Modified — practical guide covering caching-strategies setup, configuration, and troubleshooting...
LFU Eviction: Keep Your Most-Used Data in Cache Longer
LFU Eviction: Keep Your Most-Used Data in Cache Longer — practical guide covering caching-strategies setup, configuration, and troubleshooting with real...
In-Process Caching: Fastest Cache Layer with Zero Network Hops
The fastest cache layer isn't a separate service you deploy, but a library embedded directly within your application process.
LRU Eviction: How It Works and When to Use It
LRU eviction isn't about discarding data; it's about intelligently making space by discarding the data you're least likely to need soon.
Memcached Deep Dive: When to Use It Over Redis
Memcached and Redis are both popular in-memory data stores, but they serve distinct purposes, and choosing the right one can significantly impact your a.
Caching in Microservices: Patterns for Distributed Architectures
Caching in microservices is often treated as a simple performance optimization, but its real power lies in its ability to decouple services and manage s.
Monitor Your Cache: Hit Rate, Miss Rate, and Eviction Metrics
A cache's hit rate is not the most important metric to track; its miss rate is. Let's see a cache in action, specifically Redis, a popular in-memory dat.
Multi-Level Caching: L1, L2, CDN in a Single Architecture
The most surprising thing about multi-level caching is how often it's treated as a single, monolithic concept, when in reality, each layer operates on f.
Configure Nginx Proxy Cache to Reduce Origin Load
Nginx proxy cache doesn't actually reduce load on your origin servers by caching data; it reduces load by lying to your origin servers.
Object Caching: Store Serialized Entities for Fast Retrieval
Object caching is fundamentally about trading CPU cycles for I/O. Here’s a look at a common scenario using Redis as our cache backend
Measure Caching Impact: Before and After Benchmarks
Caching can make your application feel instantaneous, but its actual impact is often wildly overestimated because the cost of a cache miss is so much hi.
Design a Production Caching Strategy That Scales
A cache is never truly "hit" or "miss" in terms of its existence; it's always about the timing of when the data it holds becomes stale.
Read-Through Cache Pattern: Transparent Caching for Your App
The read-through cache pattern is less about speeding up reads and more about simplifying your data access layer by making caching completely invisible .
Run Redis Cluster for High-Availability Distributed Caching
Redis Cluster is surprisingly resilient, but its high availability doesn't come from replicating data to a single standby.
Redis Caching Complete Guide: Data Structures, TTL, and Patterns
Redis isn't just a key-value store; it's a data structure server that lets you get way more mileage out of your cache than a simple string store ever co.
Redis Sentinel Setup: Automatic Failover for Production
Redis Sentinel is a crucial component for building highly available Redis deployments, but setting it up correctly for production can be a minefield of .
Redis vs Memcached: Which Cache Fits Your Use Case?
Memcached's design is so minimal that it doesn't even store keys beyond the data itself; it's just a giant hash table mapping byte strings to byte strin.
Secure Your Cache: Prevent Poisoning, Leaks, and DoS Attacks
Caching is often viewed as a performance optimization, but it's a critical security boundary that, if breached, can lead to widespread compromise.
Service Worker Cache API: Offline-First PWA Caching
Service Worker Cache API: Offline-First PWA Caching — practical guide covering caching-strategies setup, configuration, and troubleshooting with real-wo...
Cache Sessions at Scale: Redis, Memcached, or Sticky Sessions?
The most surprising thing about scaling session management is that the "best" solution often involves not storing session data directly on the web serve.
Test Caching Behavior: Verify Hits, Misses, and Expiry in CI
Caching in CI is a double-edged sword: it speeds up builds dramatically, but if it's wrong, it silently corrupts your tests.
Thundering Herd Problem: Fix Cache Stampedes Under Load
When a popular resource is requested by many clients simultaneously after a cache miss, all those clients can overwhelm the origin server, causing a "ca.
Set TTL and Expiration Right: Avoid Stale Data and Cache Churn
The most surprising thing about TTL and expiration is that they aren't about when data becomes invalid, but when the system is allowed to forget it.
Caching Types Explained: Client, Server, CDN, and DB Cache
Caching is a fundamental optimization technique, but the way it truly unlocks performance is by allowing the system to lie to the user about how much wo.
Varnish Cache Configuration for High-Throughput Web Apps
Varnish Cache Configuration for High-Throughput Web Apps — practical guide covering caching-strategies setup, configuration, and troubleshooting with re...
Write-Around Cache: When Not to Cache Writes
A write-around cache strategy is often lauded for its simplicity and the performance gains it offers for read-heavy workloads, but its true power emerge.
Write-Behind Cache Pattern: Async Persistence for Speed
The write-behind cache pattern is less about hiding latency and more about decoupling the write operation from the eventual persistence.
Write-Through Cache: Keep Cache and DB in Sync on Every Write
Write-Through Cache: Keep Cache and DB in Sync on Every Write — practical guide covering caching-strategies setup, configuration, and troubleshooting wi...
7 Caching Antipatterns That Kill Your App Performance
Caching is a double-edged sword; get it wrong and you're not just wasting memory, you're actively making your application slower and less reliable.
Cache API Responses to Cut Backend Load by 90%
Caching API responses can dramatically reduce the load on your backend services, sometimes by as much as 90%, by serving pre-computed results instead of.
How ARC Eviction Outperforms LRU in Production
ARC might seem like just another cache eviction policy, but its real magic is how it dynamically adapts to your workload, outmaneuvering LRU when it cou.
Master Browser Caching: Headers, TTLs, and Cache Busting
Browser caching can make your site feel lightning fast, but it's a surprisingly intricate dance between your server and the user's browser.
Implement Cache-Aside Pattern to Speed Up Database Reads
The cache-aside pattern isn't about making your database faster; it's about making your application faster by avoiding the database altogether for most .
Improve Cache Hit Ratio: What Good Looks Like and How to Get There
A cache hit isn't always a good thing; sometimes, a cache miss is precisely what you want. Imagine you're building a system that needs to serve up lots .
Cache Invalidation Done Right: Strategies That Actually Work
The most surprising thing about cache invalidation is that most systems get it fundamentally wrong by treating it as a pure "delete" operation, when it'.
Preload Your Cache Before Traffic Hits: A Practical Guide
Caching isn't just about speeding up requests; it's about predicting them. Let's say you have a web application, and you know that every morning at 9 AM.
Prevent Cache Stampede with Locking and Probabilistic Refresh
A cache stampede isn't just a bunch of requests hitting the cache simultaneously; it's when those requests all miss the cache at the exact same time, ov.
Warm Your Cache After Deployment to Prevent Latency Spikes
Caching is the bedrock of high-performance systems, but your cache isn't magic; it's just memory. When your application restarts, that memory is wiped c.
CDN Caching Strategies: Edge Rules, TTLs, and Invalidation
CDNs don't just store copies of your content closer to users; they actively decide how long to keep those copies around and when to get rid of them, oft.
Keep Caches Consistent with Your Database: Patterns That Scale
Keeping your cache and database in sync is a surprisingly subtle problem, and the most efficient solutions often involve intentionally allowing a brief .
Cache Database Queries to Slash Response Times
Caching database queries is one of the most impactful ways to slash response times, but most people miss the fact that it's not about reducing database .
Build a Distributed Cache That Handles Millions of Requests
A distributed cache doesn't just store data; it's a carefully orchestrated network of nodes that collectively become your fast data layer, actively figh.
Caching Architecture Patterns for High-Traffic Enterprise Systems
The most surprising thing about caching for high-traffic systems is that "more cache" is rarely the answer, and often, the type of cache and how it's ac.
Use ETags and Conditional Requests to Save Bandwidth
ETags are a surprisingly effective way to shave off bandwidth by letting the server tell the browser, "Hey, you've already got the latest version of thi.
Invalidate Cache on Events: Real-Time Consistency Without Polling
Caching is often a performance bottleneck, but its Achilles' heel is stale data. Let's look at how a typical e-commerce scenario might handle product up.
LRU vs LFU vs ARC: Choose the Right Eviction Policy
The most surprising truth about cache eviction policies is that the "best" one often depends less on your workload's theoretical access patterns and mor.