Big Tech Digest #6
2023-08-11: Scaling the Instagram Explore recommendations system, How DoorDash Migrated from StatsD to Prometheus, Fixit 2: Meta’s next-generation auto-fixing linter, and more!
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// 📫 Engineering blogs digest
Recent, selectively picked blog posts from tech companies’ engineering blogs.
[Meta] Scaling the Instagram Explore recommendations system tells a story about using advanced machine learning models, like Two Towers neural networks, to make Instagram recommendations more scalable by Vladislav Vorotilov and Ilnur Shugaepov
[Swiggy] Predicting Food Delivery Time at Cart by Shubham Grover
[Expedia] Merging Code Quickly and Safely in a Monorepo describes an approach to scaling CI infrastructure when using monorepo by Dan Adajian
[DoorDash] How DoorDash Migrated from StatsD to Prometheus outlines the challenges DoorDash faced with StatsD and their migration journey to Prometheus by multiple authors
[Meta] Fixit 2: Meta’s next-generation auto-fixing linter by Amethyst Reese
[Databricks] Multiple Stateful Operators in Structured Streaming by Angela Chu and Jungtaek Lim
[Cloudflare] Q2 2023 Internet disruption summary by David Belson
// ⭐️ Misc
a.k.a. the nerd section 🧑💻!
AWS S3 introduced mountpoints, an open-source file client that makes it easy for your file-aware Linux applications to connect directly to Amazon Simple Storage Service (Amazon S3) buckets.
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