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#distributedcache — Public Fediverse posts

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

  1. #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

  2. #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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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