Recent Blog Posts
Insights on AI Agents, Modern Web, and the Future of Engineering.
Curating Your Roadmap: Turning These 900 Topics into a Content Calendar
A 900-topic backlog is an asset and a liability. Score topics by audience, search value and effort, cluster them into series, sequence prerequisites, split evergreen from news, and prune quarterly — using the Kubernetes documentation's information architecture as the model.
Predictions for the Next Decade of Container Technology
Seven reasoned, falsifiable predictions for where containers, Wasm, microVMs, confidential computing, supply-chain rules, AI scheduling and platform engineering land by 2036 — each with the signal that would prove it wrong.
Green Computing and Container Efficiency: Carbon-Aware Clusters
Resource requests and limits are the foundation of Kubernetes efficiency — and of your power bill. A practical path from right-sizing and bin-packing to scale-to-zero and carbon-aware scheduling, with the trade-offs spelled out.
WASI, WASCC, and the Future of Componentized Backends
The component model, WIT interfaces and the WASI 0.2/0.3 timeline explain how backends decompose into sandboxed Wasm components — and where wasmCloud's actor-and-capability roots came from. An honest look at the promise versus today's reality.
Container Runtimes in 2026: crun, containerd 2.x, and Beyond
crun has become the default low-level runtime in much of the ecosystem while containerd 2.x strips out a decade of legacy. A tour of the runtime stack, what actually changed, and what to watch next.
The Rise of OCI Artifacts: From Images to Anything
OCI's image and distribution specs now carry Helm charts, SBOMs, signatures, Wasm modules and model weights — not just container images. Here is how media types, the referrers API and ORAS turn any registry into a universal artifact store.
Serverless Workflows in Wasm Across Browser, Edge, and Cloud
One Wasm artifact running a serverless workflow in a browser, at the edge, and in the cloud — what the comparative research shows about AOT vs JIT, cold starts, and payload sizes, plus the component model, orchestration patterns, and today's real limitations.
WebAssembly Self-Healing in Container Orchestration Research
What self-healing means in orchestration — probes, restart policies, drift detection — where WebAssembly's millisecond cold starts change the calculus, and an honest survey of which Wasm self-healing techniques are production-ready versus still research prototypes.
The Platform Engineering Movement and Internal Developer Platforms
Why platform engineering exists, how extending Kubernetes with CRDs and operators provides the self-service substrate, what Backstage and Golden Paths add, and how to measure an IDP with outcomes instead of vanity metrics.
Running LLM Inference Services in Containers
A practical guide to serving LLMs in containers: vLLM, Ollama, and llama.cpp images, continuous batching, KV-cache memory sizing, quantization trade-offs, model-aware health checks, and autoscaling on queue depth instead of CPU.
AI Workloads on Kubernetes: GPUs, Inference, and Serving
From device plugins to Dynamic Resource Allocation (GA since Kubernetes 1.34), GPU sharing with MIG and time-slicing, accelerator node pools, and how scheduling and serving stacks like KServe and vLLM differ for training versus inference.
SBOMs at Scale: SPDX, CycloneDX, and Registry Integration
Generating a bill of materials is easy; operating millions of them is not. This post compares SPDX 2.3/3.0 with CycloneDX 1.5/1.6, shows how to produce SBOMs with syft and Trivy, and covers storing them as OCI artifacts in your registry and querying them at scale.