#DevOps

A partial read published as the whole. For an hour the profile said 24 restore scripts across 15 repositories, and the fleet had 73 across 48. Three guards now.

A backup verified by restore is the only kind that exists. Twelve days of OK over a volume nothing wrote to, and 47 templates' restore scripts CI never ran.

Restore drills that measure RTO on a machine that never ran the stack, 47 templates weekly. Every same-host restore passed. The first clean one answered 500.

A Docker health check whose pattern matches the shell running it can never go red. How to find the checks in your fleet that never failed, and prove each one.

Three agents finish in parallel. Main takes one landing at a time. METR's perception gap, the rebase tax, and why Merge Debt is the number nobody plots.

Juniors get the biggest boost from AI; seniors trust it least. That split is your earliest read on engineering risk, and on the talent you're about to lose.

Unknown numbers of AI coding agents run in parallel — no audit trail, no isolation, no per-team measurement. By 2026 that's an audit finding.

How removing Google Analytics 4 from an Astro site unlocked Lighthouse 100, why Cloudflare Web Analytics replaced it, and what the tradeoffs actually cost.

Everyone's installing AI agents on Mac Minis. I tested one in isolation — the architectural framework for deployment the hype leaves out.

Amazon laid off Jason Dunn, architect of the AWS Community Builders program. The signal: community must prove production value, not engagement metrics.

Infosys deployed Devin AI globally. If you compete on technical execution as a DevOps engineer, you're now Legacy Labor — the blueprint to survive.

AI adoption is easy. Proving productivity isn't. A Docker Captain's view on why AI impact is hard to measure—and how teams can finally prove real value.

Fix AWS issues faster with Amazon Q, the AI assistant built for DevOps. Real-world examples, limitations, and how it compares to ChatGPT.

Turn GPT into a real DevOps assistant with Docker MCP. How AI agents automate Slack, GitHub, Stripe, and more — securely and at scale.

Without DevOps, AI fails fast. Learn how containers, CI/CD, and GitOps keep LLMs and ML systems like OpenAI and Hugging Face running at scale.

Is Datadog certification just a fancy dog agility course? We break down why DevOps engineers feel like they're jumping through hoops.

Step-by-step guide to install GitLab using Docker Compose and Traefik with Let's Encrypt SSL. Host your own GitLab server with CI/CD and SSH access.