Caching is one of those things that's invisible when it works and deeply confusing when it doesn't — users seeing old content, a cache that never seems to hit, a Redis instance nobody's sure is even being used correctly. We find exactly where the caching layer is breaking down and fix it, without trading speed for correctness.
1:1 Caching Troubleshooting· Fixed-Price & Hourly Options · Fast Turnaround
This Is For You If...
You're a founder and users keep reporting they're seeing outdated content on your site
Your team set up caching but isn't confident it's actually helping performance
You're a student or freelancer setting up Redis or a CDN for the first time and it's not behaving as expected
Your cache works most of the time but occasionally serves the wrong data to the wrong user
You update content and it takes far too long — or never — to actually show up
Self-Diagnostic Checklist
Ask Yourself | What It Suggests |
Is stale data showing up for everyone, or just some users? | Universal staleness points to invalidation or CDN config; partial staleness often points to browser cache or session-specific caching |
Is the cache not updating, or not being used at all (low hit rate)? | These are different problems — one is a correctness issue, the other is a performance issue |
Where is the caching happening — browser, CDN, application, or database layer? | Each layer has different tools and different common failure modes |
Did this start after a deploy or a caching-related config change? | Most sudden caching issues are traceable to a specific recent change |
Is this affecting one type of data, or everything cached? | Scoped issues usually point to a specific cache key or invalidation rule; broad issues point to the caching layer itself |
Are you running caching across multiple servers/instances? | Multi-instance setups introduce consistency challenges single-server caching doesn't have |
Caching Issues We Fix
Fix Stale Cache / Cached Data Not Updating
The most common caching complaint: a stale cache, cache not updating with new data, or cached content not refreshing even after the underlying data changes. We trace exactly why the cache isn't reflecting updates and fix the invalidation logic behind it.
Set Up Redis Caching
If you need to set up Redis caching, implement a Redis cache, or want a proper Redis caching setup, we design and implement a caching layer that fits your actual data access patterns, not a generic default configuration.
Fix Cache Invalidation Issues
When cache invalidation isn't working, you're facing a cache invalidation bug, or the cache isn't clearing on update, this is one of the notoriously tricky parts of caching to get right. We fix the specific invalidation logic so updates reliably reach users.
Fix Browser Cache Not Clearing / Update Issues
Browser cache not updating, users seeing an old version of the site, or the need to force clear browser cache correctly means your cache headers or versioning strategy isn't telling browsers when to fetch fresh content. We fix the underlying header and versioning configuration.
Implement CDN Caching
To set up CDN caching, handle CDN cache configuration, or properly implement CDN caching for your website, we configure caching rules that actually speed up delivery without serving outdated content to your users.
Fix Redis Connection / Configuration Errors
A Redis connection error specific to caching, a Redis config error, or Redis cache not connecting points to a setup or network issue preventing your app from actually using the cache you've configured. We resolve the specific connection or configuration problem.
Fix Memcached Configuration Issues
A Memcached setup error, Memcached not caching properly, or a general Memcached configuration fix means the cache is running but not behaving as expected. We diagnose the specific Memcached-side misconfiguration.
Fix API Response Caching Not Working
When API caching isn't working, the response cache isn't being used, or you're facing an API cache miss issue, requests that should be served from cache are hitting your backend every time. We find why the cache isn't being utilized as designed.
Fix Cache Miss / Low Cache Hit Rate Issues
A low cache hit rate, too many cache misses, or the general need to improve cache efficiency means your caching strategy isn't matching your actual traffic patterns. We analyze real usage and tune the caching keys and strategy accordingly.
Fix CDN Cache Not Purging
CDN cache not clearing, a purge CDN cache not working issue, or a CDN serving old content problem means your invalidation requests aren't actually reaching or affecting the CDN's edge caches. We fix the purge mechanism so updates propagate reliably.
Implement Database Query Result Caching
To cache database query results, implement a query caching layer, or set up database result caching, we build a caching layer between your app and database that reduces load without risking serving outdated query results.
Fix Cache Stampede / Thundering Herd Issues
A cache stampede, the classic thundering herd problem, or the need to prevent cache expiry overload happens when a popular cached item expires and many simultaneous requests all hit your backend at once trying to regenerate it. We implement locking or staggered expiry strategies to prevent this.
Fix Session Caching Issues
Session cache not working, cached session data being stale, or a session store caching error can cause users to be logged out unexpectedly or see incorrect account state. We fix the session caching configuration so state stays accurate and consistent.
Implement Application-Level / In-Memory Caching
An in-memory caching setup, application-level cache implementation, or a decision between local cache vs. distributed cache requires understanding your actual deployment architecture. We implement the right approach for your specific scaling needs.
Fix Cache Consistency Issues Across Multiple Servers
Cache inconsistency across multiple servers, a distributed cache sync issue, or cache not being consistent across instances is a common problem once you scale beyond a single server. We implement a caching strategy that stays consistent across your actual infrastructure.
Fix Service Worker / PWA Caching Issues
A service worker cache not updating, a PWA cache issue, or service worker stale content means your progressive web app's offline/caching strategy isn't refreshing correctly. We fix the service worker's caching and update logic.
Set Up HTTP Caching Headers (Cache-Control/ETag)
When Cache-Control headers aren't working, you need to set up ETag caching, or want proper HTTP caching headers configuration, we implement headers that correctly signal to browsers and intermediary caches how and when to reuse content.
Fix Cache Expiry / TTL Configuration Issues
Cache TTL not working, a wrong cache expiry time, or general cache expiration settings issues mean content is either expiring too soon (hurting performance) or too late (serving stale data). We tune TTL settings appropriately for each type of cached data.
Fix GraphQL Query Caching Issues
GraphQL caching not working, an Apollo Client cache issue, or a GraphQL query cache fix requires understanding GraphQL-specific caching patterns, which differ meaningfully from REST caching. We resolve the specific client or server-side GraphQL caching problem.
Fix Static Asset Caching Issues (Versioning/Cache Busting)
Cache busting not working, a static asset cache versioning fix, or old JS/CSS files being served from cache means your build's file-versioning strategy isn't correctly signaling to browsers when assets have changed. We fix the versioning/fingerprinting approach.
Caching Strategy Design & Implementation
For a broader caching strategy design, caching architecture consulting, or multi-layer caching implementation, rather than fixing one specific issue, this is proactive design work — browser, CDN, application, and database caching layers working together coherently.
Don't see your exact issue listed above? Send it to us anyway — most caching problems follow recognizable patterns across layers.
What We Need From You
What to Share | Why It Helps |
Where caching happens in your stack (browser, CDN, Redis, application, database) | Different layers have different tools and different common failure modes |
The specific symptom (stale data, low hit rate, connection errors, etc.) | Determines whether this is a correctness issue or a performance issue |
Your current caching configuration, if any | Lets us see what's actually set up rather than guessing |
What changed recently, if this was working before | Most sudden caching issues are traceable to a specific recent change |
Whether you're running multiple servers/instances | Multi-instance setups need consistency handling single-server setups don't |
How critical data freshness is for the affected content | Helps us balance performance gains against acceptable staleness for your use case |
Common Mistakes to Avoid
Instinct | Why It Doesn't Help | Do This Instead |
Setting a very short TTL "to be safe" after a staleness issue | Undermines most of the performance benefit caching was meant to provide | Fix the actual invalidation logic so the cache can be trusted with a reasonable TTL |
Adding caching everywhere without checking what actually needs it | Adds complexity and potential staleness risk without meaningful performance benefit for low-traffic data | Cache what's frequently accessed and expensive to compute or fetch |
Clearing the entire cache to fix one stale entry | Causes unnecessary load as everything needs to be regenerated at once (can trigger a stampede) | Invalidate only the specific keys affected by the change |
Assuming a CDN handles all caching automatically and correctly | CDNs cache based on the headers and rules you configure — misconfiguration leads to either stale content or no caching benefit | Explicitly configure and test CDN caching rules for your actual content types |
Debugging a "stale cache" without checking the browser cache first | Browser-level caching is often the actual cause when application/CDN caching looks correct | Rule out browser caching (hard refresh, cache headers) before assuming it's server-side |
Implementing distributed caching without a consistency strategy | Can lead to different servers serving different cached values for the same data | Design for consistency across instances from the start, not as an afterthought |
How It Works
Step | What Happens |
1. Tell us what's happening | Share where caching happens in your stack, the specific symptom, and what changed recently if you know it |
2. We trace the actual caching flow | We follow the request through each caching layer to identify exactly where it's breaking down |
3. We fix it without sacrificing correctness | The fix balances performance gains with data freshness — we don't just widen or remove caching to "solve" a symptom |
4. We verify it actually works | We test both that stale data is resolved and that performance benefits are actually being realized |
5. We explain the caching flow | You get a clear picture of how caching now works across your stack, useful for your team going forward |
Why Codersarts
Caching issues are genuinely tricky — the fix that stops stale data often kills performance, and the fix that improves hit rate can introduce staleness if done carelessly. We've worked across Redis, Memcached, CDN caching, browser caching, service workers, GraphQL clients, and database query caching, and we design for the balance between speed and correctness rather than treating them as opposing goals. We fix the actual caching layer that's misbehaving, and can design a coherent multi-layer strategy if that's what your app actually needs.
Turnaround Time
Most single-issue caching problems — stale data, connection errors, misconfigured headers — are diagnosed and resolved within a day. Broader caching strategy design and multi-layer implementation work is scoped with a clear timeline based on your architecture.
FAQ
Question | Answer |
Do you work with our specific caching tool (Redis, Memcached, CDN provider, etc.)? | Very likely. We work across the major caching tools, CDN providers, and application-level caching patterns. |
Can you fix a stale cache issue without a big architecture change? | Often, yes — most staleness issues come down to invalidation logic or TTL configuration, not needing a full redesign. |
How do you make sure fixing staleness doesn't hurt our performance? | We tune invalidation and TTL specifically, rather than just shortening cache duration broadly, which is what usually causes that trade-off. |
Do you handle caching design for new projects, not just fixes? | Yes — caching strategy design and multi-layer implementation is available as its own engagement. |
Is this confidential if it's for a work project? | Yes. We don't contact your employer or client, and an NDA is available on request. |
What if the caching issue only shows up across multiple servers? | We can diagnose distributed caching consistency issues specifically — this needs a different approach than single-server caching problems, and we're experienced with both. |
Related Services
Page Load & Frontend Performance
API & Backend Response Time
Database Query Performance
Application Crashes Under Load
Users Seeing Stale Content Right Now?
Don't just clear the whole cache and hope. Tell us what's happening and we'll find the actual cause.
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