A reference stack for running AI agents in production on AWS: WAF, identity, Bedrock Guardrails, Cedar tool policies, observability, cost and adoption.
Golden paths as products: a few templates with minimal inputs and policy built in, versioned and owned, which agents use through the same API as humans.
Agents are a new class of platform user. Give each one an identity, an owner, spend caps and audit logs, then widen its autonomy in stages as it earns trust.
A map of AI SRE agents in 2026: where they fit in the incident workflow, the main tools by category, guardrails, platform readiness and what to measure.
Five layers of guardrails for AI-written infrastructure code: before generation, at review, at apply, after apply, and the policy that ties them together.
How to build an agent control plane on AWS: lifecycle, identity, tool governance, policy, guardrails, sandboxed execution, and detection with AgentCore.
The anatomy of a DevOps pipeline: core concepts, stages from commit to production, and the principles that separate working pipelines from fragile ones.
A grounded tour of DevOps practices and the anti-patterns that undo them, from CI/CD and IaC to blameless culture and sensible on-call habits.
#devops-tooling #platform-engineering
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