Every application that updates a database and then does something else — pushes to a search index, invalidates a cache,
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Microservices promised us smaller, more maintainable codebases. They delivered — along with a debugging nightmare. When a request flows through
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Most applications start with a simple mental model: one database, one set of tables, and CRUD operations that read and
Continue readingCQRS in Practice: Splitting Reads and Writes for Scalable Systems
Constructors in Go are simple when a type has one or two fields. But the moment you start building something
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Every week, GitHub surfaces projects that push the boundaries of what’s possible — sometimes by solving practical problems, sometimes by
Most microservice architectures still rely on an outdated security model: trust everything inside the network, and defend the perimeter. The
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Deploying new code to production without taking your service offline is table stakes for modern applications. Kubernetes gives you rolling
Chrome 150 is rolling out, and it brings three features that tackle problems frontend developers have been working around for
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Networks are unreliable. Clients retry requests. Messages get delivered twice. In a distributed system, the question isn’t whether a duplicate
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Go’s error handling gets a lot of attention — and a lot of criticism. The familiar if err != nil
Continue readingEffective Error Handling in Go: From `if err != nil` to `errors.AsType`