"Kapitan for Cloud-Native Configuration and AI Workflows"
Kapitan for Cloud-Native Configuration and AI Workflows is the definitive guide for technology leaders, architects, and practitioners seeking to master configuration management at scale. This comprehensive resource begins by tracing the evolution from imperative to declarative paradigms, contextualizing current best practices in DevOps, GitOps, and infrastructure as code. Readers build a strong foundation in cloud-native principles—including microservices, container orchestration, and the critical role of configuration as code—before advancing to conquer the challenges of distributed systems, environment consistency, and the unique operational requirements of AI and MLOps pipelines.
Delving deep into the heart of Kapitan, the book provides a detailed exploration of its architecture, templating engines, and advanced features such as hierarchical inventory, parameterization, secret management, and compliance automation. Each chapter offers actionable insights on designing reusable templates, enforcing schema contracts, and orchestrating configuration across diverse cloud environments. Essential enterprise concerns—including security, zero trust, auditing, disaster recovery, and multi-environment deployments—are covered with depth and clarity, empowering readers to maintain robust, compliant, and scalable infrastructure.
The text culminates in practical guidance for integrating Kapitan into modern delivery pipelines, orchestrating complex AI/ML workflows, and extending its capabilities through plugins and interoperability with tools like Terraform and Crossplane. From implementing policy-as-code, identity management, and observability, to future-proofing for emerging AI-augmented automation and community-driven governance, this book is an indispensable companion for navigating the intricacies of cloud-native configuration in the era of intelligent automation.
