In-depth guides on Docker, Kubernetes, AWS, CI/CD, AI/ML, and modern infrastructure — written by engineers, for engineers.
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Your logs have the answers — but there are too many to read. Build an AI anomaly detector that queries Loki for unusual patterns and uses Claude API to explain what's wrong and what to do.
Product company or service company for your DevOps career? The answer depends on what you want to learn, earn, and build. Here's the honest breakdown.
Your GitHub Actions artifact upload is failing with 'upload artifact failed' or size limit errors. Here are the exact causes and fixes for the most common artifact upload failures.
LLMs return unpredictable text. Instructor + Pydantic turns that into validated, typed Python objects — automatically retrying when the model returns garbage. Here's how to use it in production.
Everyone says 'observability' now but most teams are still just doing monitoring. Here's what actually separates the two — and why it matters when your system breaks in a way you didn't expect.
Radius is Microsoft's open source cloud-native app platform, now a CNCF sandbox project. It promises to abstract Kubernetes and cloud resources into developer-friendly 'application' definitions. Here's an honest review of whether it delivers.
Three serious container image scanning tools, one decision. Trivy, Grype, and Snyk each solve container security differently. Here's the honest comparison — speed, accuracy, CI/CD integration, and cost.
Your Kubernetes cluster is probably wasting 40-60% of its compute cost on over-provisioned resources. Build an AI-powered cost optimizer that reads Prometheus metrics and gives specific rightsizing recommendations.
CI/CD tests tell you your code works in a test environment. Continuous Verification tells you your code works in production, on real traffic, right now. Here's the methodology, the tools, and why it's becoming the standard for mature engineering teams.