Traditional #caching fails to stop "thundering herds" where multiple clients trigger the same work during a miss.

This #InfoQ article, Gabor Koos explores a smarter pattern using Cloudflare Durable Objects, treating in-flight work & completed results as two states of a single cache entry.

By routing to a single owner, systems eliminate redundant work and replace complex locking with simple promises.

👉 Read now: https://bit.ly/4qaqEp4

#DistributedCache #DistributedSystems #Infrastructure #SoftwareArchitecture #SoftwareDevelopment

#CaseStudy - Karrot replaced its legacy recommendation system with a new scalable architecture powered by multiple AWS services.

The shift addresses issues of tight coupling, limited scalability, and poor reliability in the previous setup - moving to a distributed, event-driven design built on scalable cloud infrastructure.

🔗 Learn how they did it: https://bit.ly/4pzELow

#AWS #EventDrivenArchitecture #DistributedCache #ApacheKafka #InfoQ

#Valkey 9.0 is now generally available!

This release brings:
• Atomic slot migrations
• Hash field expiration
• Full support for numbered databases in cluster mode

Valkey 9.0 enables scaling to 2,000 nodes and achieves over 1 billion requests per second!

Find out more: https://bit.ly/4p4Cd16

#InfoQ #AI #DistributedCache #SoftwareDevelopment

#Cloudflare redesigned #WorkersKV with a new hybrid storage architecture!

The result❓
✅ p99 read latencies dropped from 200ms to under 5ms
✅ Handles hundreds of billions of key-value pairs

Want to see how they did it? Read the #CaseStudy 👉 https://bit.ly/468zYTo

#InfoQ #SoftwareArchitecture #KeyValueStore #DistributedCache #CloudArchitecture

Uncover the secrets of CacheFront – Uber’s innovative #caching solution for its in-house distributed database, Docstore!

Learn how it achieves over 40M reads per second & significant latency reductions: https://bit.ly/3T0l7mf

#InfoQ #DistributedCache #Database #SQL #DistributedData #ChangeDataCapture

Uber's CacheFront: Powering 40M Reads per Second with Significantly Reduced Latency

Uber developed an innovative caching solution, CacheFront, for its in-house distributed database, Docstore. CacheFront enables over 40M reads per second from online storage and achieves substantial performance improvements, including a 75% reduction in P75 latency and over 67% reduction in P99.9 latency, demonstrating its effectiveness in enhancing system efficiency and scalability.

InfoQ

Redis is not just a caching solution - here is a great case study of using it as Session Store for an eCommerce application for higher throughout and lower latency using Active/Active setup with Redis Enterprise 👇

#Redis #DistributedCache #CloudNative
https://cloud.google.com/blog/topics/retail/optimize-ecommerce-resiliency-with-redis-and-google-cloud

Optimize ecommerce resiliency with Redis and Google Cloud | Google Cloud Blog

Consumers demand optimized online shopping experiences across regions and platforms. Learn how Redis and Google Cloud help retailers exceed expectations.

Google Cloud Blog