
Building a Production-Grade Distributed Chatroom in Go
Learn how to build a real-time chat server from scratch using Go, supporting unlimited concurrent users, message persistence, and private messaging.
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Showing 10 results for "distributed-systems"

Learn how to build a real-time chat server from scratch using Go, supporting unlimited concurrent users, message persistence, and private messaging.

Debugging distributed systems can be challenging, but it's often necessary to identify and fix issues quickly. In this article, we'll discuss the process of debugging distributed systems while they're still running, including the tools and techniques you can use to monitor and troubleshoot your systems in real-time.

Great typography isn't just about aesthetics; it is the structural code that governs cognitive load, brand identity, and user psychology.

For a long time, I thought good design was about screens. However, with experience and learning, I've come to realize that designing systems is a more comprehensive and effective approach to creating user experiences.

Every major programming language in history was built around the same assumption: that they are meant for developers. But what if the next programming language isn't designed with developers in mind?

The phrase 'distributed systems are hard' is often used to justify subpar engineering. However, this excuse is wearing thin as the industry demands better system design and engineering best practices.

Enterprise systems often begin as monoliths, but as they grow, they need to become distributed to scale. Low-code development can facilitate this transition without the need for a complete rewrite.

Learn how to build a scalable and fault-tolerant rate limiter on DynamoDB using the token bucket algorithm, ensuring your application survives production.

Security systems have long been built around boundaries, and the Havenlon architecture series explores the concept of execution boundaries in software design.

Designing systems around data flow, transformation, and coordination is a key aspect of software architecture. In this approach, data is processed through a pipeline or broker, enabling efficient and scalable system design.
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