Telemetry FinOps for AI Platforms: What AWS Config Recording Strategy Teaches About Cost Governance
A practical method to reduce cloud telemetry cost without blind spots, using per-resource behavior and policy-aware recording modes.
Yuki Tanaka
Platform engineering and observability. eBPF enthusiast and green software advocate.
118 articles
Thunderbolt 5 Storage for Local AI Workstations: Throughput, Cost, and Team Workflow
A practical design guide for using multi-SSD Thunderbolt 5 enclosures in local AI and media engineering workflows.
Windows 11 May 2026 Reliability Update: Enterprise Rollout Blueprint with AI Surface Controls
A practical deployment strategy for Windows core reliability updates while controlling AI-feature drift and endpoint risk.
Cloudflare Unweight and Shared Dictionaries: A Practical Playbook for Agent Inference Economics
How platform teams can turn Cloudflare’s latest inference and compression announcements into measurable latency and cost improvements.
Inference Economics 2026: From AI Chip Supply Signals to FinOps Actions
A practical model for connecting hardware market shifts, model strategy, and day-to-day cost controls in AI platforms.
Local AI on PCs Is Growing Up: Governance, WASM Inference, and Hybrid Runtime Design
A systems perspective on enterprise AI PCs, local inference runtimes, and policy-aware hybrid execution.
Agent Readiness Is Becoming a Web Standard, Not a Nice-to-Have
A practical rollout plan based on Cloudflare’s Agent Readiness score, Radar adoption data, and emerging agent-facing web standards.
Cloudflare Agents Week: Operating Agent Memory on a Unified Inference Runtime
How to turn Cloudflare Agent Memory and unified inference into a production operating model with lifecycle controls, retrieval policy, and SRE-grade observability.
GitHub CLI Agent Skills in Production: Governance, Versioning, and Team Rollout
A practical playbook for introducing gh skill-based agent capabilities across enterprise repositories with clear governance and measurable outcomes.
Cloudflare Artifacts Git Native Workspace For Agents 2026: Production Architecture Guide
A publication-ready long-form guide based on today's platform and developer trend signals.
AI PCs in 2026: NPU Adoption Is an Operations Problem, Not a Spec Sheet Race
How to evaluate and run local AI workloads across enterprise device fleets with NPU-aware routing, security controls, and lifecycle governance.
Cloudflare Containers and Sandbox SDK GA: A Production Playbook for Secure Agent Runtimes
How to operationalize Cloudflare Containers and Sandboxes in production with isolation tiers, observability, and cost controls.
Harness Engineering for Coding Agents: Secure MCP Integration and Observable Execution
A production guide to agent harness design, including isolation boundaries, tool contracts, telemetry, and failure containment.
Cloud Run Worker Pools GA: Reframing Background Job Operations for Platform Teams
How to adopt Cloud Run Worker Pools GA with queue design, SLOs, and cost-aware autoscaling in production.
Signed AI Commits in GitHub: Enterprise Branch Protection without Slowing Delivery
How to adopt signed commits from coding agents while preserving review quality, change control, and release velocity.
Google-Intel’s Expanded Partnership and the Return of Balanced AI Infrastructure Design
Why the renewed focus on CPUs and IPUs changes enterprise AI capacity planning beyond GPU-only narratives.
Windows Copilot Keyboard and IME Changes: Enterprise Endpoint Rollout Playbook
How endpoint teams can safely roll out keyboard and input-method changes tied to AI workflows in managed Windows fleets.
Agent Teams in Development Are Real Now: Governance Patterns for Multi-Agent Delivery
How to run coding-agent teams safely with task decomposition, review contracts, and measurable reliability controls.
AI-Bot Traffic Is Reshaping CDN Economics: A Cache Architecture Playbook for 2026
How to redesign cache hierarchy, key strategy, and observability when AI agents become a first-class traffic source.
Human + Bot Traffic on One Edge: SLO and Cache Architecture for the AI-Crawler Era
A practical playbook for balancing human user performance and exploding AI-bot traffic using cache segmentation, policy lanes, and measurable SLOs.