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.
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.
7/30/26 • 12:09
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.
7/25/26 • 27:46
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.
7/17/26 • 17:03
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.
6/16/26 • 14:36
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.
5/30/26 • 11:24
CNCF Q1 2026 cloud native report analysis — why feature flagging is the bridge from mainstream to advanced practice, with commentary from the author.
5/16/26 • 17:12
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.
5/12/26 • 08:18
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.
11/30/25 • 05:09
Learn how Docker and MCP let GPT agents use tools like Slack, GitHub, and Stripe — turning AI from smart talkers into real-world doers.
6/9/25 • 07:23
Compare GitHub Actions, GitLab CI, and Argo Workflows in 2025 — and find out which CI/CD tool best fits your team and pipeline.
5/11/25 • 07:07
Discover how generative AI understands text, images, video, and sound — explained simply with real examples of tokens, chunks, and embeddings.
4/28/25 • 04:56
Is Kubernetes overkill for your app? Learn when it adds complexity, when it's worth it, and which simpler, scalable alternatives might fit better.
4/19/25 • 06:29
How AI learns (supervised, unsupervised, reinforcement) — explained simply, with real-life examples you'll actually relate to.
4/7/25 • 09:17
Simple guide to AI and machine learning for beginners. Learn how it works with clear explanations and easy-to-understand examples.
3/31/25 • 05:42
