GitHub Private Repo AI Training Opt-Out: Governance Playbook Before the April 24 Deadline
How platform, legal, and security teams should handle the private-repository training opt-out window without breaking Copilot adoption.
Marcus Wright
Cloud infrastructure and DevOps practitioner. Kubernetes, FinOps, and supply chain security.
107 articles
From 30 Minutes to 30 Seconds: Platform SRE Lessons from fsGroupChangePolicy Tuning
A practical playbook for reducing Kubernetes restart delays caused by storage permission scans in stateful platform workloads.
LiteLLM Supply Chain Incident: A Response Blueprint for AI Dependency Security
After reports of compromised LiteLLM package versions, here is a practical response model for engineering, security, and platform teams.
AI Agent Sandboxing in Production: Isolates, Capability Boundaries, and Runtime Governance
How platform teams can ship agent-executed code safely using isolate sandboxes, explicit capability contracts, and measurable controls.
Cloudflare Dynamic Workers: Operational Playbook for Safe, High-Throughput AI Agent Sandboxing
A practical guide to turning Dynamic Workers into a production control plane for AI-generated code, with policy boundaries, observability, and cost controls.
Cloudflare Gen 13 and the New Edge Capacity Equation: From Cache Ratios to Compute Economics
What high-core AMD servers and 100GbE upgrades imply for edge architecture, latency management, and FinOps governance.
Dynamic Workers and the New Runtime Contract for AI Agents
How to redesign agent execution around isolate-first sandboxing, deterministic budgets, and evidence-driven rollback.
Floating Data Centers and the Next Infra Frontier: Practical Evaluation for Platform Teams
How to assess offshore/floating data center projects for power, cooling, latency, resilience, and regulatory fit.
GitHub Actions + Merge Queue in 2026: Governance Patterns for Agent-Driven CI
How to keep velocity high while controlling risk when AI coding agents dramatically increase pull request volume.
When CI Tags Are Compromised: A GitHub Actions Supply Chain Response Playbook
A concrete incident response model for workflow tag compromise, secret exposure risk, and trust restoration in CI pipelines.
From NVIDIA Rubin Headlines to Real Capacity Planning: An Inference FinOps Playbook for 2026
How to convert Rubin-era AI infrastructure announcements into procurement, capacity, and reliability decisions your platform team can execute.
Workers AI Large Models: Building a Unified Agent Lifecycle on Cloudflare
A production blueprint for running state, orchestration, inference, and policy controls on one platform using Workers AI and Kimi K2.5.
Large Models on Workers AI: SRE and FinOps Blueprint for Unified Agent Platforms
How to adopt large-model inference on Cloudflare Workers AI with reliability budgets, latency strategy, and unit economics governance.
AI Datacenter Megadeals and Power Reality: A FinOps Capacity Playbook for 2026
What large-scale US AI datacenter investments mean for model placement, reservation strategy, and enterprise cloud economics.
GitHub Copilot Traceability + Actions Updates: A Practical Governance Baseline for 2026
How to combine Copilot commit tracing, model-resolution metrics, ARC updates, and timezone-aware schedules into one auditable delivery control plane.
Japan-US AI Datacenter Consortium Bets: Capacity, Power, and Risk Controls for Enterprise Buyers
How enterprise infrastructure teams should respond when multi-billion AI datacenter projects reshape GPU availability, power markets, and contract strategy.
Workers AI + Kimi K2.5: Enterprise Blueprint for Session-Aware Agent Platforms
How to convert Cloudflare’s large-model updates into concrete architecture, reliability, and cost controls for production agents.
Workers AI + Large Models in Production: Session Affinity, Prefix Caching, and Cost-Stable Agent Architecture
An implementation guide for engineering teams adopting large-model inference on Cloudflare Workers AI with predictable latency and cost.
Cloudflare Workers AI and Large Models: Designing an Agent Platform at the Edge
How to evaluate and deploy large-model agent workloads on Workers AI with clear SLOs, cost controls, and security boundaries.
Japan-led US AI Datacenter Capex Wave: What Platform Teams Must Change
Operational guidance for japan-led us ai datacenter capex wave: what platform teams must change in enterprise engineering organizations.