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Agentic DevOps with Claude Code. Build governed AI platforms on Kubernetes with GitOps, observability, and self-service workflows Michael Rishi Forrester

Książka w języku angielskim angielski
Agentic DevOps with Claude Code. Build governed AI platforms on Kubernetes with GitOps, observability, and self-service workflows Michael Rishi Forrester - okladka książki

Agentic DevOps with Claude Code. Build governed AI platforms on Kubernetes with GitOps, observability, and self-service workflows Michael Rishi Forrester - okladka książki

Agentic DevOps with Claude Code. Build governed AI platforms on Kubernetes with GitOps, observability, and self-service workflows Michael Rishi Forrester - audiobook MP3

Agentic DevOps with Claude Code. Build governed AI platforms on Kubernetes with GitOps, observability, and self-service workflows Michael Rishi Forrester - audiobook CD

Autor:
Michael Rishi Forrester
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
322
Dostępne formaty:
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     ePub

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Build agentic DevOps workflows without bypassing the controls your Kubernetes platform already depends on. This book shows you how to use Claude as a controlled platform-engineering worker while introducing agents, model serving, and developer self-service through reproducible GitOps workflows, explicit trust boundaries, policy checks, and testable completion gates.

You’ll establish a cloud-native foundation with Argo CD, cert-manager, OpenBao, External Secrets Operator, Kyverno, Prometheus, Grafana, Loki, Tempo, and OpenTelemetry. You’ll then add governed AI traffic using Gateway API, kgateway, agentgateway, kagent, MCP tools, and LLM Guard before serving an OpenAI-compatible model with KServe and vLLM.

The hands-on approach shows you how to constrain Claude with specifications, permissions, audit hooks, tests, and Git checkpoints. You’ll trace agent and model activity, diagnose failures from evidence, and turn operational fixes into reusable tests. You’ll also build a Backstage template and Argo CD ApplicationSet that provide a governed path from developer request to running agent.

By the end of the book, you’ll be able to build and validate an AI-native internal developer platform in phases, route agent and model activity through existing platform controls, and prepare the architecture for production use.

O autorze książki

Michael Forrester, Principal Trainer at KodeKloud, DevOps Advocate, Certified AWS DevOps Engineer with 11 additional AWS certifications. Michael has 20+ years of experience in the IT industry, primarily in DevOps and Cloud. He has contributed to various large-scale companies like AWS, Redhat, Thoughtworks, and Honeywell. Michael has been teaching and creating courses for several years. He has expertise across various subjects such as Linux, DevOps, K8s, HashiTools, and AWS Cloud.

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