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& AI Infrastructure
Intelligence for engineers building and operating AI infrastructure at scale. LLMOps, FinOps, Kubernetes, and the tools that keep production AI running.
Deep Technical Guides
Benchmarks run on real infrastructure. Config files you can copy-paste. No vendor fluff.
Cost Optimization Playbooks
Datadog to Grafana migrations. GPU budget triage. Reserved instance strategy. Real savings.
Production Incident Frameworks
Postmortem templates for AI failures. Runbooks your on-call team will actually use.
Latest Articles
View all →Detecting Rogue AI Agents on Your API: Reverse-Engineering Cloudflare Precursor's Threat Model
Server-side signals fail: agents now look identical to humans on the wire. The 5 client-side signal categories Precursor uses, the open-source stack to add them, and the inverse problem — legitimate agents looking less like bots.
ClickHouse + HyperDX for Full-Fidelity LLM Traces 2026
Self-hosted ClickHouse + HyperDX: $180/mo vs Helicone $4,200/mo, OTel gen_ai.* schema, 26.7.4 LTS vs 26.3.19 LTS compatibility.
Multi-Cloud Agent Sandbox Comparison 2026
AWS Firecracker MicroVMs, Google gVisor GKE Agent Sandbox, Azure Dynamic Sessions, and Cloudflare Workers sandboxes compared by isolation and lifecycle.
Claude Opus 5 Cost-Aware Agent Orchestration on AWS
Route agent work across Claude model tiers without hiding cost, quality, fallback, or data-retention decisions. Includes an OTel contract and rollout playbook.
AI Coding Agent Observability 2026: Six Tools
Claude Code 1.0, Gemini CLI, Codex CLI, OpenCode, GitHub Copilot, AWS Kiro: per-tool OTel hooks, normalized schema, and a five-panel view.
AI Agent Security Posture 2026: A Practitioner's Framework
Agent security posture is not a CSPM problem. SBOM-grade agent identity, prompt supply chain, isolation primitives, and the four controls every fleet needs.
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Weekly intelligence on LLMOps, FinOps, and AI infrastructure. No fluff, no vendor pitches. Written by practitioners, for practitioners.