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OpenTelemetry in production: traces, metrics, logs, and sensitive data

OpenTelemetry in production: traces, metrics, logs, and sensitive data

OpenTelemetry in production: traces, metrics, logs, and sensitive data addresses a concrete operating problem: turn intent into verifiable behavior without hiding security, quality, or operational trade-offs. This piece moves from foundations to expert decisions, using a distributed trace stripped of unnecessary personal data as a running example and testing every choice against production constraints. OpenTelemetry

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Platform engineering: build an internal platform as a product

Platform engineering: build an internal platform as a product

Platform engineering: build an internal platform as a product addresses a concrete operating problem: turn intent into verifiable behavior without hiding security, quality, or operational trade-offs. This piece moves from foundations to expert decisions, using a golden path standardizing build, deployment, and observability as a running example and testing every choice against production constraints. Platform enginee

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Harden Kubernetes without breaking applications

Harden Kubernetes without breaking applications

Harden Kubernetes without breaking applications addresses a concrete operating problem: turn intent into verifiable behavior without hiding security, quality, or operational trade-offs. This piece moves from foundations to expert decisions, using a dedicated service account and security context matched to actual need as a running example and testing every choice against production constraints. Harden Kubernetes witho

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GitOps without magic: desired state, review, promotion, and rollback

GitOps without magic: desired state, review, promotion, and rollback

GitOps without magic: desired state, review, promotion, and rollback addresses a concrete operating problem: turn intent into verifiable behavior without hiding security, quality, or operational trade-offs. This piece moves from foundations to expert decisions, using an infrastructure change promoted through review and a traceable commit as a running example and testing every choice against production constraints. Gi

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Docker multi-stage: minimal images and reproducible builds

Docker multi-stage: minimal images and reproducible builds

Docker multi-stage: minimal images and reproducible builds addresses a concrete operating problem: turn intent into verifiable behavior without hiding security, quality, or operational trade-offs. This piece moves from foundations to expert decisions, using separation of build stage from runtime image as a running example and testing every choice against production constraints. Docker multi-stage: minimal images and

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