All the CLI tools a growing k8s nerd needs

There are problems with the centralized data lake. A future data mesh needs domains, self-service platforms, and product thinking.

Stream, connect, process, and govern your data with a unified Data Streaming Platform built on the heritage of Apache Kafka® and Apache Flink®.

A friendly introduction to distributed computing and the nature of nodes within a distributed system.

GitHub Gist: instantly share code, notes, and snippets.

An outline of Microservice architecture including Decomposition patterns, Integration patterns, and Concern patterns.

Whenever new technologies emerge, the first priority for a technologist is to understand the implication of adopting it. Serverless architecture is a case in point.

Recently our development team had a small break in our feature delivery schedule. Technical leadershi...

In this post, we highlight everything you need to know about architecting modern digital platforms and open-source software.

Lock-in is an important consideration. But, it's not a simple black-or-white affair, and minimizing isn't always best.

Your ultimate guide on why and how to use GraphQL

Where Is My Cache? Architectural Patterns for Caching Microservices — embedded, distributed, client-server, cloud

A waterfall software process breaks down a large effort into a sequence of activities, usually leaving risks too late.

Unpopular opinion! Monoliths are the future because the problem people are trying to solve with microservices doesn’t really line up with reality. Just to be honest - and I’ve done this before, gone from microservices to monoliths and back again. Both directions.

The panelists have moved from the monolith to microservices and in some cases back again. They have strong opinions on monorepos, on operating distributed systems and on the best way to structure an organization to make a success of this architecture.

Introduction In this post, we will answer the following 5 questions: Why do we need...

I've been noticing that while there's a lot of appreciation for backend and distributed systems challenges, there's a lot less empathy for why mobile development is hard when done at scale. Building a backend system that serves millions of parallel customers…