Cloud infrastructure and DevOps practitioner. Kubernetes, FinOps, and supply chain security.
143 articles
A practical guide to turning Dynamic Workers into a production control plane for AI-generated code, with policy boundaries, observability, and cost controls.
What high-core AMD servers and 100GbE upgrades imply for edge architecture, latency management, and FinOps governance.
How to redesign agent execution around isolate-first sandboxing, deterministic budgets, and evidence-driven rollback.
How to assess offshore/floating data center projects for power, cooling, latency, resilience, and regulatory fit.
How to keep velocity high while controlling risk when AI coding agents dramatically increase pull request volume.
A concrete incident response model for workflow tag compromise, secret exposure risk, and trust restoration in CI pipelines.
How to convert Rubin-era AI infrastructure announcements into procurement, capacity, and reliability decisions your platform team can execute.
A production blueprint for running state, orchestration, inference, and policy controls on one platform using Workers AI and Kimi K2.5.
How to adopt large-model inference on Cloudflare Workers AI with reliability budgets, latency strategy, and unit economics governance.
What large-scale US AI datacenter investments mean for model placement, reservation strategy, and enterprise cloud economics.
How to combine Copilot commit tracing, model-resolution metrics, ARC updates, and timezone-aware schedules into one auditable delivery control plane.
How enterprise infrastructure teams should respond when multi-billion AI datacenter projects reshape GPU availability, power markets, and contract strategy.
How to convert Cloudflare’s large-model updates into concrete architecture, reliability, and cost controls for production agents.
An implementation guide for engineering teams adopting large-model inference on Cloudflare Workers AI with predictable latency and cost.
How to evaluate and deploy large-model agent workloads on Workers AI with clear SLOs, cost controls, and security boundaries.
Operational guidance for japan-led us ai datacenter capex wave: what platform teams must change in enterprise engineering organizations.
A practical rollout guide for adopting timezone-aware schedules and controlled environment deployments in GitHub Actions across distributed engineering organizations.
How teams can cut runaway LLM agent token costs by standardizing machine-readable error responses, retry policies, and edge fallback paths.
A playbook for handling sudden storage and device price swings without derailing delivery timelines, reliability targets, or budget discipline.
Operational controls enterprises can adopt from defense-oriented AI contracts: data boundaries, auditability, and mission-safe deployment patterns.
