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#distributedcache — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #distributedcache, aggregated by home.social.

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  1. Durable Objects end "thundering herds" by unifying in-flight work and cached results. Per-key singletons eliminate redundant tasks and complex locks, making distributed caching simple and efficient.

    👉 Read now: bit.ly/4qaqEp4

    #DistributedCache #DistributedSystems #Infrastructure #SoftwareArchitecture #SoftwareDevelopment

  2. Durable Objects end "thundering herds" by unifying in-flight work and cached results. Per-key singletons eliminate redundant tasks and complex locks, making distributed caching simple and efficient.

    👉 Read now: bit.ly/4qaqEp4

  3. 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: bit.ly/4qaqEp4

    #DistributedCache #DistributedSystems #Infrastructure #SoftwareArchitecture #SoftwareDevelopment

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

    This 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: bit.ly/4qaqEp4

  5. #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: bit.ly/4pzELow

    #AWS #EventDrivenArchitecture #DistributedCache #ApacheKafka #InfoQ

  6. - 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: bit.ly/4pzELow

  7. #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: bit.ly/4p4Cd16

    #InfoQ #AI #DistributedCache #SoftwareDevelopment

  8. 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: bit.ly/4p4Cd16

  9. #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 👉 bit.ly/468zYTo

    #InfoQ #SoftwareArchitecture #KeyValueStore #DistributedCache #CloudArchitecture

  10. redesigned 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 👉 bit.ly/468zYTo

  11. 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: bit.ly/3T0l7mf

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

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

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