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Recent, selectively picked blog posts from tech companies’ engineering blogs.
[Lyft] Building Real-time Machine Learning Foundations at Lyft describes Lyft’s road to real-time Machine Learning with Streaming by Konstantin Gizdarski
[Paypal] Intro To JavaScript Service Workers by Patricio Vargas
[Spotify] Analyzing Volatile Memory on a Google Kubernetes Engine Node explains in detail how memory analysis works and how a new analysis method can be used on any GKE node in production today by Marcus Hallberg
[Meta] Meta developer tools: Working at scale goes through tools that help developers at every stage of the workflow while working at extreme scale at Meta by Neil Mitchell
[Zendesk] Writing an Istio WASM Plugin in Go for migrating 100s of services to new auth strategy by Shane Hender
[Doordash] How DoorDash Built an Ensemble Learning Model for Time Series Forecasting by Qiyun Pan and Hanyu Yang
[BlaBlaCar] How we used machine learning to fight fraud at BlaBlaCar tells a fascinating story how Machine Learning combats different types of Fraud at BlaBlaCar by Thomas Pocreau
[Linkedin] New Approaches For Detecting AI-Generated Profile Photos by James Verbus
[Etsy] The Problem with Timeseries Data in Machine Learning Feature Systems by Kyle Gallatin and Mackenzie Starr
[Github] How to use GitHub Copilot: Prompts, tips, and use cases is a great tutorial on how to use GitHub Copilot productively by Rizel Scarlett and Michelle Mannering
a.k.a. the nerd section 🧑💻!
Concurrency, Bugs and Databases discusses a few real-world scenarios where concurrency causes bugs and their possible solutions by Mohak Puri
PostgreSQL reconsiders its process-based model Postgres is well-known for its process-based architecture, where a new OS process is spun for each connected client. Is it time for a change? by Jonathan Corbet
try lets you run a command and inspect its effects before modifying your live system.
DeepLearning.AI and AWS are jointly launching a new hands-on course Generative AI with large language models on Coursera.
Go 1.21 Release Candidate is there!
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Delivered bi-weekly to your inbox, this manually-curated newsletter brings you a collection of links to the latest engineering blog posts from Big Tech companies and startups. Aimed at all Software Engineers (backend, frontend, data, DevOps, mobile) and AI/ML folks at any level, Big Tech Digest is focused on engineering problems and their proposed solutions at tech companies that I find particularly interesting. No marketing or non-tech stuff. Subscribe now to join our community and keep learning!