Medium / Level Up Coding
The Difference Between a Cache and a Lie
A look at why caches are time-limited promises rather than sources of truth, and how explicit invalidation and failure handling keep them honest.
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Engineering notes published at the source.
Distributed systems, cloud cost, performance, security platforms, and the engineering choices that make infrastructure easier to operate.
Medium / Level Up Coding
Why I Prefer Boring Caches
A case for simple, predictable caching strategies that degrade gracefully over clever optimizations that are hard to reason about.
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Determinism Is a Core Contract in Build Caching
A practical look at why deterministic build outputs are essential for reliable caching, and the common sources of nondeterminism to watch for.
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Remote Execution, Explained for People Who Just Run make
A practical introduction to remote execution, modeling builds as DAGs of deterministic actions that can be cached and distributed across machines.
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Go Slice Initialization Gotchas: The Hole-Creating Bug I Keep Seeing
A look at a common Go bug from mixing make() with a non-zero length and append, and the makezero linter that catches it.
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Why I Always Specify Types for Constants in Go, and Name the Unit Too
A practical note on making Go constants explicit, readable, and harder to misuse by naming both the type and the unit.
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Container-Aware Resource Management in Go: The Problem, Go 1.25's Fix, and What's Still Missing
A practical look at Go resource management inside containers, the Go 1.25 improvements, and the gaps engineers still need to account for.
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Profiling a Go Service in Production: pprof in 10 Minutes
A practical guide to enabling pprof, collecting CPU and heap profiles, reading flame graphs, and debugging Go services under real load.
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context.Context Is Not Optional: A Practical Guide to Cancellation in Go Services
A practical guide to using context.Context as part of service design, cancellation, deadlines, and shutdown behavior in Go.
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Go Interfaces: Why Less Is Almost Always More
A short note on keeping Go interfaces small, behavior-focused, and easier to test and evolve.
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Three Go Concurrency Mistakes I See in Almost Every Worker Pool
A practical look at worker-pool mistakes around cancellation, channel ownership, and shutdown paths.
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