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Stories by Netflix Technology Blog on Medium

Company blog · netflixtechblog.medium.comprogrammingsystems

Stories by Netflix Technology Blog on Medium is the company blog at netflixtechblog.medium.com, writing about programming and systems. Since 2021, 35 different Hacker News readers have linked it 39 times, most often “Improving Pull Request Confidence for the Netflix TV App”. It is still writing: the last post was on 2026-10-26, and you can follow it by feed.

Visit the blog
39mentions?
35HN people?
2021–2026first – last linked?
Links on Hacker News per year · peak 11 in 2024

Too few sampled comments (10) to say how often HN recommends it.?

Why HN links it

HN readers link Netflix's Medium tech blog for engineering posts on running systems at scale, such as load shedding, performance under load, datastore and encoding work. Most comments cite it as a source.

Summarised by Claude from a sample of 10 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. /performance-under-load-3e6fa9a60581
    3 people · 3 mentions · first linked 2021-10-10
  2. /
    3 people · 3 mentions · first linked 2023-12-12
  3. Improving Pull Request Confidence for the Netflix TV App
    2 people · 2 mentions · first linked 2021-09-03
  4. Cache warming at Netflix: Leveraging EBS for moving petabytes of data
    2 people · 2 mentions · first linked 2021-11-30
  5. Netflix: Automated Imagery Generation of the Homepage
    2 people · 2 mentions · first linked 2021-02-02
  6. Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
    2 people · 2 mentions · first linked 2025-11-07
  7. /datastore-flash-upgrades-187f1e4ef859
    2 people · 2 mentions · first linked 2021-01-26
  8. Data Gateway – A Platform for Growing and Protecting the Data Tier
    2 people · 2 mentions · first linked 2024-04-23
  9. Scale of Conductor Usage at Netflix
    2 people · 2 mentions · first linked 2026-08-21
  10. Lessons Learnt from Consolidating ML Models in Large Scale Recommendation System
    2 people · 2 mentions · first linked 2023-09-09

What Hacker News says?

  1. tester756 · 2025-12-23Recommends
    Maybe https://projectzero.google/archive.html https://netflixtechblog.medium.com/ https://www.uber.com/en-US/blog/engineering/

    Comment linking /

    on “Ask HN: What are the best engineering blogs with real-world depth?”
  2. Submitted Cache warming at Netflix: Leveraging EBS for moving petabytes of data as a story · 96 points

    HN discussion
  3. minimizing the image definitely helps. https://aws.amazon.com/blogs/apn/how-to-build-sparse-ebs-vol... https://netflixtechblog.medium.com/datastore-flash-upgrades-... https://github.com/Netflix-Skunkworks/s3-flash-bootloader

    Comment linking /datastore-flash-upgrades-187f1e4ef859

    on “Making EC2 boot time faster”
  4. Submitted Supercharging the ML and AI Development Experience at Netflix as a story · 16 points

    HN discussion
  5. athoscouto · 2021-10-10Recommends
    I also like "Performance Under Load" by Eran Landau, William Thurston and Tim Bozarth ( https://netflixtechblog.medium.com/performance-under-load-3e... ) very much.

    Comment linking /performance-under-load-3e6fa9a60581

    on “Using load shedding to avoid overload”
  6. Submitted Mount Mayhem at Netflix: Scaling Containers on Modern CPUs as a story · 4 points

    HN discussion
  7. Fine, with enough replicas, you can sleep well at night. But how about the 3 years uptime without reboot? Can you really enjoy your morning coffee without thinking about it? :) Netflix went full ephemeral storage for their Cassandra clusters since the beginning, at the time when they were just spinning disks. Years later, they still insist on doing this, and had to come up with creative solution to fix the uptime is…

    Comment linking /datastore-flash-upgrades-187f1e4ef859

    on “Our Journey to PostgreSQL 12”
  8. Submitted Open-Sourcing a Monitoring GUI for Metaflow, Netflix’s ML Platform as a story · 4 points

    HN discussion
  9. Envoy has a latency-based adaptive concurrency feature: https://www.envoyproxy.io/docs/envoy/latest/configuration/ht... Netflix has a blog post for their implementation: https://netflixtechblog.medium.com/performance-under-load-3e...

    Comment linking /performance-under-load-3e6fa9a60581

    on “An Interactive Guide to Rate Limiting”
  10. Submitted Mount Mayhem at Netflix: Scaling Containers on Modern CPUs as a story · 3 points

    HN discussion
  11. (I work at Netflix on these Datastores) EVCache definitely has some sharp edges and can be hard to use, which is one of the reasons we are putting it behind these gRPC abstractions like this Counter one or e.g. KeyValue [1] which offer CompletableFuture APIs with clean async and blocking modalities. We are also starting to add proper async APIs to EVCache itself e.g. getAsync [2] which the abstractions are using und…

    Comment linking /cache-warming-leveraging-ebs-for-moving-petabytes-of-data-adcf7a4a78c3

    on “Netflix's Distributed Counter Abstraction”
  12. Submitted Data Gateway – A Platform for Growing and Protecting the Data Tier as a story · 3 points

    HN discussion
  13. Their usecase is explained in the accompanying blogpost. https://netflixtechblog.medium.com/introducing-vectorflow-fe...

    Comment linking /introducing-vectorflow-fe10d7f126b8

    on “Vectorflow: Minimalist neural network library faster than TensorFlow in D”
  14. Submitted How We Build Micro Front Ends with Lattice as a story · 3 points

    HN discussion
  15. Why bring up assumptions/suppositions about Netflix's encoding process? Their tech blog and tech presentations discuss many of the requirements and steps involved for encoding source media to stream to all the devices that Netflix supports. The Netflix tech blog: https://netflixtechblog.com/ or https://netflixtechblog.medium.com/ Netflix seems to use AWS CPU+GPU for encoding, whereas YouTube has gone to the expense…

    Comment linking /

    on “FFmpeg Lands CLI Multi-Threading as Its "Most Complex Refactoring" in Decades”
  16. Submitted Netflix: Automated Imagery Generation of the Homepage as a story · 3 points

    HN discussion
  17. Also the author mentioned this blog https://netflixtechblog.medium.com/performance-under-load-3e... from netflix.

    Comment linking /performance-under-load-3e6fa9a60581

    on “Adaptive Request Concurrency in Vector”
  18. Submitted Reliable GPU Compute for Large Training and Inference Jobs as a story · 2 points

    HN discussion
  19. - can someone kindly explain why there are 2 websites that all claim to be netflix tech blog? - website 1 https://netflixtechblog.medium.com/ - website 2 https://netflixtechblog.com/

    Comment linking /

    on “Mount Mayhem at Netflix: Scaling Containers on Modern CPUs”
  20. Submitted Scale of Conductor Usage at Netflix as a story · 2 points

    HN discussion
  21. Submitted Foundation Model for Personalized Recommendation as a story · 2 points

    HN discussion
  22. Submitted My Path Towards Data at Netflix as a story · 2 points

    HN discussion
  23. Submitted Data Gateway – A Platform for Growing and Protecting the Data Tier as a story · 2 points

    HN discussion
  24. Submitted Lessons Learnt from Consolidating ML Models in Large Scale Recommendation System as a story · 2 points

    HN discussion
  25. Submitted Curbing Connection Churn in Zuul as a story · 2 points

    HN discussion
  26. Submitted Improving Pull Request Confidence for the Netflix TV App as a story · 2 points

    HN discussion
  27. Submitted Improving Pull Request Confidence for the Netflix TV App as a story · 2 points

    HN discussion
  28. Submitted Netflix Conductor: The Next Chapter as a story · 1 points

    HN discussion
  29. Submitted In-House LLM Serving at Netflix as a story · 1 points

    HN discussion
  30. Submitted Behind the Streams: Three Years of Live at Netflix. Part 1 as a story · 1 points

    HN discussion

Search all of HN for netflixtechblog.medium.com

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