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Klaviyo Engineering

Company blog · klaviyo.techprogrammingai

Klaviyo Engineering is the company blog at klaviyo.tech, writing about programming and ai. Since 2018, 15 different Hacker News readers have linked it 28 times, most often “Understanding Timings in Distributed Systems”. It is still writing: the last post was on 2026-04-23, and you can follow it by feed.

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28mentions?
15HN people?
2018–2026first – last linked?
Links on Hacker News per year · peak 7 in 2019

Too few sampled comments (3) to say how often HN recommends it.?

Why HN links it

HN readers link Klaviyo's engineering blog for accounts of its production systems, such as scaling real-time analytics with Apache Flink. Comments also compare its RabbitMQ and Kafka work with other teams' choices.

Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

Most-linked posts?

  1. Understanding Timings in Distributed Systems
    2 people · 2 mentions · first linked 2024-11-18
  2. Scaling Graphite to Millions of Metrics
    2 people · 2 mentions · first linked 2019-02-22
  3. Magic: Constant-time tricks that Klaviyo uses to operate at scale
    2 people · 2 mentions · first linked 2020-02-13
  4. Scaling Klaviyo’s Event processing Pipeline with Stream Processing
    2 people · 2 mentions · first linked 2019-01-23

What Hacker News says?

  1. Klaviyo | Boston ONSITE | https://www.klaviyo.com | https://klaviyo.tech | http://bit.ly/klaviyocareers Klaviyo is a data science company that helps brands grow faster. We're profitable, engineering-driven and growing incredibly fast. We have over 12,000 paying customers and are doubling year over year and ingesting an order of magnitude more data every year. We're hiring across the board (Python/Java engineers, sys…

    Comment linking /tagged/counting

    on “Ask HN: Who is hiring? (May 2019)”
  2. Submitted Scaling Klaviyo’s Event processing Pipeline with Stream Processing as a story · 23 points

    HN discussion
  3. > Does anyone have experience running in production? We do: https://klaviyo.tech/scaling-klaviyos-real-time-analytics-sy...

    Comment linking /scaling-klaviyos-real-time-analytics-system-with-stream-processing-4b3bb87cd6b5?gi=da76fad9e49f

    on “Apache Flink”
  4. Submitted Calculating π on Pi Day as a story · 9 points

    HN discussion
  5. This is fascinating. Doordash seems to have encountered many of the same problems we (Klaviyo) did using a RabbitMQ/Celery stack, but arrived at totally different answers. Klaviyo doubled down on making the tools work for us, rather than jumping to a new and untested (for us) broker/job framework technology and arrived at some pretty nice solutions: Problems with observability? We added lots of custom StatsD and tex…

    Comment linking /load-testing-our-event-pipeline-2019-42c984b90aae

    on “Eliminating Task Processing Outages by Replacing RabbitMQ with Apache Kafka”
  6. Submitted Poison wheels: a Klaviyo continuous integration fire-fighting story as a story · 7 points

    HN discussion
  7. Submitted Scaling Graphite to Millions of Metrics as a story · 7 points

    HN discussion
  8. Submitted Optimizing Large State Apache Flink Application for 10x Performance as a story · 6 points

    HN discussion
  9. Submitted GPT-4 for Coding: 16 Observations and Tips as a story · 4 points

    HN discussion
  10. Submitted Fast Visual Testing for Embedded Content as a story · 4 points

    HN discussion
  11. Submitted Building a Distributed Priority Queue on Kafka as a story · 2 points

    HN discussion
  12. Submitted Load Testing Software Systems as a story · 2 points

    HN discussion
  13. Submitted Understanding Timings in Distributed Systems as a story · 2 points

    HN discussion
  14. Submitted Understanding Timings in Distributed Systems as a story · 2 points

    HN discussion
  15. Submitted Git Internals and Tricks: how it works, and how to get out of trouble as a story · 2 points

    HN discussion
  16. Submitted GPT-4: From strong pair coder to annoying pair coder as a story · 2 points

    HN discussion
  17. Submitted Scaling Klaviyo’s Event Processing Pipeline with Stream Processing as a story · 2 points

    HN discussion
  18. Submitted Managing Complexity with Architecture Patterns in Python as a story · 2 points

    HN discussion
  19. Submitted Magic: Constant-time tricks that Klaviyo uses to operate at scale as a story · 2 points

    HN discussion
  20. Submitted Scaling Graphite to Millions of Metrics as a story · 2 points

    HN discussion
  21. Submitted The four levels of AI-driven engineering as a story · 1 points

    HN discussion
  22. Submitted Incident Management from an Astronaut as a story · 1 points

    HN discussion
  23. Submitted Hang On, What's Survival Analysis? as a story · 1 points

    HN discussion
  24. Submitted We Chose Pants as a story · 1 points

    HN discussion
  25. Submitted Magic – constant time tricks Klaviyo uses to operate at scale as a story · 1 points

    HN discussion
  26. Submitted Implementing MFA for AWS as a story · 1 points

    HN discussion

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