From Dockerfiles to Distroless: Shrinking Container Attack Surface
A migration path from general-purpose base images to distroless containers with fewer vulnerabilities and clearer ownership.
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Container Blog
A migration path from general-purpose base images to distroless containers with fewer vulnerabilities and clearer ownership.
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How go-mdbus-mcp was benchmarked internally and compared externally against other Modbus MCP servers on a shared backend.
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A stage-by-stage story of how go-mdbus-mcp moved from a fast prototype to a safer, test-driven release.
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How to choose between Docker Engine, containerd, and rootless runtimes based on team constraints and security posture.
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Why go-mdbus-mcp was built with Go + official MCP SDK, and how the runtime architecture is designed for industrial reliability.
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A minimal GitHub Actions approach to reproducible builds, provenance, and vulnerability checks for container images.
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A weekend experiment in recursive AI code review, where the agent audits and improves its own implementation.
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How I built a browser-only AI app builder with zero backend and free hosting on GitHub Pages.
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Setting up a self-hosted n8n workflow with Ollama and WhatsApp integration on a home lab environment.
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A practical walkthrough of using Tetragon on Minikube to observe process-level events from Kubernetes workloads.
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A hands-on comparison of cloud GPU spot workflows for running Ollama and Open WebUI.
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What Firecracker microVMs optimize for, and when they are a better fit than standard containers.
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How Kata Containers combine container workflows with VM isolation boundaries.
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How rootless containers work with user namespaces, and where Podman fits in secure workflows.
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Compare runc and crun on startup latency, memory footprint, and operational tradeoffs.
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Why OCI image and runtime specs matter for interoperability across tools and platforms.
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Understand containerd architecture: content store, snapshotters, runtime shims, and lifecycle flow.
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How container networking works from veth pairs to CNI plugin chains in Kubernetes.
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How Linux namespaces isolate process IDs, mounts, users, and networking for containers.
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How cgroups enforce resource limits for CPU, memory, and I/O in container workloads.
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