Blog Archive
Metrics, Logs, Traces, and Events: What's Actually Different
Four observability signals that get thrown around interchangeably. Understanding what makes each one distinct and where they overlap determines whether your observability stack scales or collapses under its own weight.
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Distributed Tracing: A Practical Guide
Distributed tracing captures the complete journey of a single request as it passes through multiple services, enabling latency analysis, error propagation tracking, and root cause analysis across complex architectures.
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Prometheus and OpenTelemetry: How They Fit Together
OpenTelemetry does not replace Prometheus. They solve different problems, they are converging, and understanding the boundary between them will save you from expensive architectural mistakes.
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Puppets and Octopi: Why Top-Down Orchestration Hits a Wall
Centralized, imperative orchestration requires centralized coordination, and centralized coordination is a bottleneck that doesn't scale. Distributed, declarative convergence pushes intelligence to the edges.
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The Best Dog Trainer in the World - Or Why Getting Better Isn't Helping
When something has been failing for a while despite competent people working on it, the problem is almost certainly not competence. Before you optimize, ask yourself whether you are training a dog or a cat.
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FluxCD vs ArgoCD: Architectural Comparison
A deep comparison of the architectural differences between FluxCD and ArgoCD for experienced Kubernetes platform engineers, covering CRD design, state management, controller models, and where each tool wins.
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GitOps
GitOps is not just keeping YAML in git. It is a specific operational model where a controller in the cluster continuously reconciles actual state against desired state declared in a git repository, providing audit trail, reproducibility, drift correction, and safe rollback.
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GitHub Actions Reference Implementation
A reference implementation for GitHub Actions CI/CD pipelines covering automated testing, linting with golangci-lint and namedreturns, semantic versioning, automatic releases, and caching strategies.
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