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.
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.
How developers stay in control of AI in the Builders Era — using expert supervision, clean Git workflows, and GitKraken to keep speed, quality, and reliability.
A practical guide to Platform Engineering — build internal developer platforms, golden paths, GitOps workflows, and scalable cloud foundations.
We deliberately broke an Exchange 2019 server to test Stellar Repair on a dirty-shutdown EDB file. The recovery process, lab setup, and lessons learned.
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. MCP servers let a model act on Slack, GitHub and Stripe, inside containers whose limits you still set.
Ace your Terraform interview with 10 real questions, expert answers, and best practices on state, drift, modules, and security.
Build a production-grade GitOps pipeline on AWS with EKS, Argo CD, Terraform, Vault, and GitHub Actions. Real architecture — systems that scale.