
Platform Engineering and Agentic AI: How to Govern AI Agents in Your CI/CD Pipeline
AI coding agents now generate pull requests faster than teams can review them. How platform teams build the governance layer before the agents ship.
Read more →DevOps engineering guides covering infrastructure as code, monitoring, incident response, SRE principles, and team workflows for modern platform teams.

AI coding agents now generate pull requests faster than teams can review them. How platform teams build the governance layer before the agents ship.
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An honest comparison of Terraform and Pulumi for platform engineering teams — covering language model, state, provider ecosystem, and the team dynamics that …
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Platform teams that don't measure their impact lose budget. Here's what to measure and how to interpret the numbers.
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Internal developer platforms are the artifact of platform engineering. Here's what they contain and what makes them succeed.
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Chaos engineering injects controlled failure into production to find resilience gaps before users do. Here's how to start without breaking things you can't fix.
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SLIs, SLOs, and SLAs are the foundation of reliability engineering. The distinctions matter; the math matters more.
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Runbooks turn institutional knowledge into actionable procedures. The good ones get used during incidents; the bad ones don't.
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Platform engineering didn't replace DevOps. It reframed it. Here's what the shift actually means in practice.
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Postmortems either generate learning or generate fear. The structure of the document and the process around it determine which.
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Terraform codebases age badly without discipline. Module structure, state management, and naming conventions are what separate sustainable IaC from a five-year …
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On-call doesn't have to burn out your team. Rotation design, alert hygiene, and runbook discipline make the difference.
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How to deploy Prometheus and Grafana for production infrastructure monitoring, including scrape configuration, retention strategies, and alerting patterns.
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