Cloudgeni-ai/infrastructure-agents-guide
How to design, build, and operate AI agents for infrastructure teams — safely. 13 chapters covering architecture, sandboxing, credentials, change control, observability, and more.
The guide covers a six-layer system architecture—agent runtime, policy plane, change control, data plane, sandboxing, and observability—with evaluations of multiple LLM frameworks (Claude Agent SDK, OpenAI, LangChain), task queues (Redis Streams, SQS, Temporal), and credential stores (Vault, AWS Secrets Manager, Azure Key Vault). It enforces infrastructure-as-code workflows where agents produce pull requests rather than direct deployments, with all tool calls logged via OpenTelemetry and autonomy tiered through approval gates. The guide includes risk matrices, prompt injection defenses, and practical patterns for multi-cloud environments (AWS, Azure, GCP, OCI) using Terraform, Pulumi, and compliance scanning tools.
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