gRPC interceptors are where cross-cutting concerns live — auth, tracing, retry, metrics, rate limiting. Most examples online show toy single-interceptor demos. Production systems need to stack, order, and compose them correctly. A practical guide.
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Go 1.18 shipped generics in March 2022. Four years later, the honest picture: they're useful for a narrower set of problems than the community hoped, they fit naturally in a few places, and overuse them and your code gets worse. A production retrospective.
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Most performance advice for Go is ritual — 'use sync.Pool,' 'avoid interface boxing,' 'preallocate slices.' Useful sometimes, hollow often. A production engineer's guide to profiling Go systems with pprof, reading escape analysis output, and understanding when the compiler actually inlines.
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sync.Pool is the Go feature most likely to be used incorrectly. A working engineer's guide to when pooling buffers actually saves GC pressure, when it just adds complexity, and the benchmark methodology that tells the difference.
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Why blind fail-fast during leader election causes retry storms, and how bounded retry budgets, failure boundaries, and error normalization create predictable distributed systems.
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The most common microservices mistake isn't picking the wrong transport. It's misreading who is responsible for knowing the work finished. A field guide to completion ownership in RPC, message bus, and event-driven systems.
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All three are 'messaging systems.' None of them is interchangeable with the others. A practical breakdown of NATS, Kafka, and MQTT — by the actual design axes that determine which one breaks when you misuse it.
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Docker is not a virtual machine. Kubernetes is not a container tool. Fifteen years in, both are misunderstood — and misused — as a result. A working engineer's explanation of what they actually changed.
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The 'which language is fastest' benchmark wars miss the real question. Rust, Go, Java, and Python aren't competing on the same axis. They're tuned for different scaling strategies — and picking the wrong one costs you years.
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The unit-vs-integration framing is a junior lens. Production Go backends need a different taxonomy: deterministic tests, contract tests, race tests, and fidelity tests. The ones that actually catch production bugs.
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