Top Tweets for #CaChing
Redis hit: ~1ms | DB query: 20–50ms
Stop scaling your DB instance. Scale your strategy. 🚀
Cache-aside essentials:
✅ Stagger TTLs (stop stampedes)
✅ Circuit breakers (outage safety)
✅ Cache "hot" data only
Scale smart. #SystemDesign #Backend #Redis #Caching
Viads Tips for Publishers 🧠
Use cache expiration headers.
Control what’s stored and when it refreshes.
#WPO #Caching #Performance
Just published a complete guide on Redis Caching with Spring Boot! Learn how to configure Redis, use @Cacheable, @CachePut, and @CacheEvict, and build faster, scalable APIs.
Read here
https://t.co/z3aMNDpifk
#SpringBoot #Redis #Java #Backend #Caching #ayshriv
Think a caching plugin is enough to speed up your WordPress website? Think again.🚀While caching reduces page load times & issues like slow hosting
The fix lies in a holistic approach-combine caching with high-performance hosting. #Caching
Check Link👇 https://t.co/hfrcUcLIml
Cache Enabler richtig einstellen: sinnvolle Werte, Ausnahmen, WebP, Gzip und mein Praxisvergleich mit halbiertem Speed Index.
https://t.co/4HEyVkn7OO
#WordPress #Pagespeed #Caching
Arriva QUERY: il nuovo metodo HTTP per query complesse
📌 Link all'articolo : https://t.co/vRmIlpTb8k
A cura di Luigi Zullo
#redhotcyber #news #metodoquery #efficiente #sicurezza #idempotenza #caching #riavviodelleRichieste
Day 2 Continuation ✅
⚡ Databases are expensive. Memory is fast.
That's why scalable systems use:
• Cache → Faster API responses
• CDN → Faster images & static files
• Stateless servers → Easy auto-scaling
@rohit_negi9
@adityatandon02
@CoderArmy
#Caching
Day 2 : System Design
🚀 Every scalable app starts the same way:
Client → Server → Database
As users grow, this simple setup breaks. The goal of High-Level Design isn't to make systems complicated—it's to remove bottlenecks before they become problems.
#SystemDesign #HLD
Redis: because sometimes your database needs to move at the speed of thought ⚡
In-memory. Lightning fast. Ridiculously simple.
#Redis #WebDev #Caching #BackendEngineering
Day 34 of Learning Web Developement ✨
Completed:
- Caching & CDNs (Module Completed) ✅
- Scalability
- Vertical vs Horizontal Scaling
- Load Balancers & Algorithms
- Database Scaling (Sharding & Replication)
#Backend #BackendEngineering #Scalability #LoadBalancing #Caching
Momentic rearchitected its caching system to handle 2M+ queries per day across 20B cache entries while maintaining an average response latency of ~250 ms.
The performance gains came from migrating from #PostgreSQL to #ClickHouse.
🔗 https://t.co/6fHD5WheBL
#InfoQ #Caching
Seattle developers packed a meetup on June 25 to talk caching and chaos, co-sponsored by Valkey and Momento, hosted by @seattle_systems. Qu Chen @awscloud and Carl Sverre @AntithesisHQ took the stage. #Valkey #OpenSource #Caching
Your cache can lie to you.
Fast but wrong? Stale data.
Everything expires at once? Thundering herd.
Quick fix: Randomize TTLs and use background refreshes.
A cache doesn’t remove complexity. It moves it.
#Backend #SystemDesign #Caching #Database
Day 26/45 ✅ of #SDESheetChallenge
Finished today's set:
✅ Next Smaller Element
✅ LRU Cache
✅ LFU Cache
@takeUforward_
#LearnInPublic #DSA #Algorithms #Stack #Caching #ProblemSolving #CodingJourney
#Day01 of Backend Concept Revision
Caching = Faster responses, happier users.
✅ Cache Hit → Return data instantly
❌ Cache Miss → Fetch from the database → Store the result in cache for future requests.
#Backend #Caching #Redis #WebDevelopment #100DaysOfCode #LearnInPublic
Caching
Caching reduces database load and improves response times by storing frequently accessed data in memory.
#Caching #SpringBoot #Performance #Java
🔗 Caching get_certificate lookups in Caddy
https://t.co/xtOX6jLyGF
#performance #opensource #ssl #caddy #caching
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