The Verdict — Vladimir Mikhalev

The Verdict — Vladimir Mikhalev

Container security, AI governance, and platform engineering, tested in production and argued without the hype. Every episode is a full essay from heyvaldemar.com, narrated by Docker Captain Vladimir Mikhalev in his own voice.

Episodes

June 29, 2026 10 mins
HashiCorp's Terraform MCP server is GA and IBM Bob can write production IaC. ENABLE_TF_OPERATIONS separates a safe assistant from autonomous apply.
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AI made reproducible knowledge free, so technical expertise is now a depreciating asset. Judgment is the one that compounds. Here is how to move your weight.
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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.
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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.
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How I hardened a 1M-pull public Docker image from Scout grade D to OpenSSF Scorecard 7.8 — multi-stage build, cosign, SLSA provenance, non-root default.
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How removing Google Analytics 4 from an Astro site unlocked Lighthouse 100, why Cloudflare Web Analytics replaced it, and what the tradeoffs actually cost.
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Half of AI-enabled apps on major backends carry severe misconfigurations. Inside the 300M-message Firebase breach and a 3-layer protocol to stop Agent Sprawl.
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Everyone's installing AI agents on Mac Minis. I tested one in isolation — the architectural framework for deployment the hype leaves out.
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Amazon laid off Jason Dunn, architect of the AWS Community Builders program. The signal: community must prove production value, not engagement metrics.
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Infosys deployed Devin AI globally. If you compete on technical execution as a DevOps engineer, you're now Legacy Labor — the blueprint to survive.
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Anisoptera's Dragonfly platform proved specialized CV engineers are replaceable. The math ($150k vs $5k) and the blueprint to survive the shift.
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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.
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A practical guide to Platform Engineering — build internal developer platforms, golden paths, GitOps workflows, and scalable cloud foundations.
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Turn GPT into a real DevOps assistant with Docker MCP. How AI agents automate Slack, GitHub, Stripe, and more — securely and at scale.
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Build a production-grade GitOps pipeline on AWS with EKS, Argo CD, Terraform, Vault, and GitHub Actions. Real architecture — systems that scale.
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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.
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Exploring a future where AI controls all aspects of life, redefining global governance and social interactions.
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