OpenShift Platforms and Operations

"OpenShift Platforms and Operations" is a definitive guide for architects, operators, and DevOps professionals seeking to master the deployment and management of OpenShift in enterprise environments. Addressing every stage of the platform lifecycle, this comprehensive resource delves deeply into Kubernetes foundations, OpenShift's unique enhancements, and the architectural principles that distinguish it from upstream Kubernetes. Readers are introduced to the technical underpinnings of the control plane, node integration, networking models, storage orchestration, and foundational security, gaining a nuanced understanding of how OpenShift delivers robust, scalable, and secure container orchestration.

The book progresses through critical implementation strategies, covering both automated and manual installation approaches, best practices for hybrid and multi-cloud patterns, seamless integrations with infrastructure-as-code tooling, and advanced bootstrapping in challenging environments. Lifecycle management receives thorough treatment, with clear explanations of cluster upgrades, operator frameworks, performance optimization, secure multi-tenancy, and resilient disaster recovery. Extensive coverage of networking, service exposure, and traffic management ensures that both connectivity and security needs are met-whether accommodating complex ingress, egress, or intelligent application routing scenarios.

Advanced chapters focus on platform services, workload orchestration, security, governance, and data management, providing operator-savvy solutions for persistent storage, compliance automation, cost control, and operational observability. Extensibility and innovation are central themes, highlighted through operator development, custom resource definitions, GitOps practices, and support for edge and hybrid deployments. Backed by practical insights and real-world considerations, "OpenShift Platforms and Operations" stands as an essential, all-in-one reference for building and operating cloud-native infrastructure at scale.