DevOps, cloud-native, and the agentic-AI shift — the signal worth keeping when the machines automate the rest. Every episode is a full essay from devops.pink, narrated by Docker Captain Tatiana Mikhaleva in her own voice.
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Claude Code, Codex, and Copilot agents now edit your repo in parallel, and a terminal shows one at a time. Why visual Git tooling became the control tower.
Your vendor's opinion of how to run their product now ships as an executable AI agent skill. Six places it breaks in production, and six questions to ask first.
Developer Relations builds the AI future, then hires its advocates with 2012 HR scripts. Eight symptoms of DevRel hiring broken by fear, and the fix.
Teams secure AI agents like normal software, and production breaks. Here's IBM and Anthropic's six-phase framework for securing them, phase by phase.
A prompt is not a security control. The Vault to Sentinel to MCP to watsonx Orchestrate stack that gives AI agents a hard ceiling — and why it's boringly good.
CNCF Q1 2026 cloud native report analysis — why feature flagging is the bridge from mainstream to advanced practice, with commentary from the author.
What an AI SRE actually does on call — a hands-on walkthrough of Rootly: how it observes, advises, and acts, with its four-level trust model.
Kubernetes is no longer #1. The 2025 CNCF x SlashData report on the real cloud-native trends — backend growth, DevOps adoption, and the AI gaps.
Learn how Docker and MCP let GPT agents use tools like Slack, GitHub, and Stripe — turning AI from smart talkers into real-world doers.
Compare GitHub Actions, GitLab CI, and Argo Workflows in 2025 — and find out which CI/CD tool best fits your team and pipeline.
Discover how generative AI understands text, images, video, and sound — explained simply with real examples of tokens, chunks, and embeddings.
Is Kubernetes overkill for your app? Learn when it adds complexity, when it's worth it, and which simpler, scalable alternatives might fit better.
How AI learns (supervised, unsupervised, reinforcement) — explained simply, with real-life examples you'll actually relate to.
Simple guide to AI and machine learning for beginners. Learn how it works with clear explanations and easy-to-understand examples.
