Cloudflare Dynamic Workers Open Beta: Designing Safe Agent Execution at the Edge
A production blueprint for running user-defined or AI-generated code with isolate-based sandboxing, capability limits, and rollback-first operations.
Platform engineering and observability. eBPF enthusiast and green software advocate.
83 articles
A production blueprint for running user-defined or AI-generated code with isolate-based sandboxing, capability limits, and rollback-first operations.
How to phase migration safely, preserve SEO assets, and validate operational gains before full platform replacement.
A deployment model for AI PCs that aligns hardware refresh, endpoint security, and measurable productivity outcomes.
How to decide what runs on-device vs cloud as AI PC adoption accelerates across Japanese enterprise and endpoint fleets.
A practical architecture for teams adopting AgentCore-era AWS workflows with traceability, evaluation, and cost controls.
A control framework for teams adopting optional approval skipping in Copilot-triggered Actions workflows without increasing change risk.
How timezone-aware schedules and deployment-free environments reshape CI/CD governance, secret boundaries, and release reliability.
A step-by-step migration model for hybrid post-quantum TLS with latency budgets, compatibility tests, and incident playbooks.
A practical governance and tooling model for handling rising AI-generated PR volume without sacrificing correctness or developer flow.
How platform teams can use AST-level workflow visualization to enforce policy, improve review quality, and reduce automation incidents.
GitHub Changelog introduced conflict-resolution via @copilot. Here is a production governance model for quality, security, and velocity.
How to translate major LLM memory-compression gains into concrete architecture, FinOps, and reliability decisions.
A practical guide for choosing where local models fit, from developer laptops to controlled on-prem inference pools.
With major vendors accelerating post-quantum readiness timelines, security teams need an execution-focused migration model built on inventory accuracy and phased remediation.
How to decide which AI workloads should move to on-device NPU execution versus cloud inference, with cost and governance tradeoffs.
How platform teams should model capacity, thermal limits, and failure domains when moving to high-core edge generations.
How to operationalize the new Copilot coding agent session visibility so teams can debug faster and prove control during reviews.
How to evaluate Java 26 preview features and startup improvements with production guardrails for enterprise services.
How endpoint and platform teams can modernize Windows operational workflows while adopting AI-assisted automation safely.
How to operationalize new coding-agent trace features into auditable engineering governance without slowing delivery.