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.
Reading the feed…
EU AI Act Article 12 wants a per-event record. Enforcement Tracking evidences thresholds on a schedule. What that gap costs, and the join key that closes it.
Three agents finish in parallel. Main takes one landing at a time. METR's perception gap, the rebase tax, and why Merge Debt is the number nobody plots.
HashiCorp's Terraform MCP server is GA and IBM Bob can write production IaC. ENABLE_TF_OPERATIONS separates a safe assistant from autonomous apply.
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.
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.
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.
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.
How removing Google Analytics 4 from an Astro site unlocked Lighthouse 100, why Cloudflare Web Analytics replaced it, and what the tradeoffs actually cost.
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.
Everyone's installing AI agents on Mac Minis. I tested one in isolation — the architectural framework for deployment the hype leaves out.
Amazon laid off Jason Dunn, architect of the AWS Community Builders program. The signal: community must prove production value, not engagement metrics.
Infosys deployed Devin AI globally. If you compete on technical execution as a DevOps engineer, you're now Legacy Labor — the blueprint to survive.
Anisoptera's Dragonfly platform proved specialized CV engineers are replaceable. The math ($150k vs $5k) and the blueprint to survive the shift.
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.
A practical guide to Platform Engineering — build internal developer platforms, golden paths, GitOps workflows, and scalable cloud foundations.
Turn GPT into a real DevOps assistant with Docker MCP. How AI agents automate Slack, GitHub, Stripe, and more — securely and at scale.
Build a production-grade GitOps pipeline on AWS with EKS, Argo CD, Terraform, Vault, and GitHub Actions. Real architecture — systems that scale.
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.
Exploring a future where AI controls all aspects of life, redefining global governance and social interactions.
