Pink Signal — Tatiana Mikhaleva

Pink Signal — Tatiana Mikhaleva

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.

Episodes

June 15, 2026 14 mins
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.
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A prompt is not a security control. It's a wish. The Vault → Sentinel → MCP → ADLC → watsonx Orchestrate stack that gives AI agents a hard ceiling — and why IBM consolidating HashiCorp made the whole thing boring, in the best possible way.
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CNCF Q1 2026 cloud native report analysis. Why feature flagging is the bridge from mainstream to advanced engineering practice, with exclusive commentary from the report's author.
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What an AI SRE actually does on call. A hands-on walkthrough of Rootly — how it observes, advises, and (when you let it) acts. With a real look at the four-level trust model.
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Kubernetes is no longer number one. The 2025 CNCF x SlashData report reveals the real cloud-native trends — backend growth, DevOps adoption, AI gaps, and the technologies developers actually use.
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Learn how Docker and MCP let GPT agents use tools like Slack, GitHub, and Stripe — turning AI from smart talkers into real-world doers.
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Compare GitHub Actions, GitLab CI, and Argo Workflows in 2025 — and find out which CI/CD tool best fits your team and pipeline.
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Discover how generative AI understands text, images, video, and sound — explained simply with real examples of tokens, chunks, and embeddings.
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Is Kubernetes overkill for your app? Learn when it adds complexity, when it's worth it, and which simpler, scalable alternatives might fit better.
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How AI learns (supervised, unsupervised, reinforcement) — explained simply, with real-life examples you'll actually relate to.
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Simple guide to AI and machine learning for beginners. Learn how it works with clear explanations and easy-to-understand examples.
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