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In this article, we look at how Linear implemented multi-region support for its customers. We will explore the architecture they built, along with the technical implementation details.

The cheat sheet briefly explains each pattern and how to use it.

BIG announcement: We've launched a new YouTube channel to make learning AI easier -- ByteByteAI!

In the world of distributed systems, one of the hardest problems isn't just storing or retrieving data.

The technical goal of their project was clear: achieve accurate transcription of menu photos into structured menu data while keeping latency and cost low enough for production at scale.

We will look at the evolution of this design decision and how Netflix went about implementing it.

Grab decided they needed one central system that would make authentication and authorization the same across all applications.

Kubernetes is the de facto standard for container orchestration.

In this article, we will focus on the need for rate limiting and some practical rate limiting strategies that are used in different scenarios.

In this article, we look at how Dropbox leveraged RAG and AI Agents to make Dash a reality.