How we use formal modeling, lightweight simulations, and chaos testing to design reliable distributed systems

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Are You a Stable or Volatile?

I've written before on this blog about the different personality traits of software engineers, and how different traits balance each other on a team.Some of the spectra I came up with were:Dreamers ↔ PragmatistsBig Picture ↔ Detail-OrientedMove Fast & Break Things ↔ Slow & MethodicalOptimists ↔ PessimistsAnswerers ↔ QuestionersRecently I read a comment on Hacker News (which I can't find...
Meta Uses LLMs to Improve Incident Response

In June, Meta released an article titled Leveraging AI for efficient incident response on their engineering blog. In this article, engineers outline how they leveraged large language models to improve Meta's incident response capabilities. The headline metric from this report: Meta was able to use LLMs to successfully root cause incidents with 42% accuracy in their web monorepo. This means...
Understanding the BM25 full text search algorithm

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Offset Considered Harmful or: The Surprising Complexity of Pagination in SQL

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Building SQL-based Observability With ClickHouse and Grafana

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Tag: Machine Learning

Where is Apache Spark heading?

Published by Arnon Rotem-Gal-Oz on December 4, 2020

I watched (COVID19-era version of “attended”) the latest spark Summit and in one of the keynotes Reynold Xin from Databricks, presented the following two images…