Chapter 1, Introducing Ceph Storage, here we explore Ceph’s role as storage needs evolve and embrace cloud computing. Also covered are Ceph’s release cycle and history including changes since the first edition of Learning Ceph .
Chapter 2, Ceph Components and Services, a tour through Ceph’s major components and the services they implement. Examples of each service’s use cases are given.
Chapter 3, Hardware and Network Selection, is a comprehensive journey through the maze of hardware choices that one faces when provisioning Ceph infrastructure. While Ceph is highly adaptable to diverse server components, prudent planning can help you optimize your choices for today and tomorrow.
Chapter 4, Planning Your Deployment, is the software complement to Chapter 3, Hardware and Network Selection. We guide the reader through deployment and provisioning decisions for both Ceph and the underlying operating system.
Chapter 5, Deploying a Virtual Sandbox Cluster, is an automated, fully functional Ceph deployment on virtual machines. This provides opportunities for hands-on experience within minutes.
Chapter 6, Ceph Operations and Maintenance, is a deep and wide inventory of day to day operations. We cover management of Ceph topologies, services, and configuration settings as well as, maintenance and debugging.
Chapter 7, Monitoring Ceph, a comprehensive collection of commands, practices, and dashboard software to help keep a close eye on the health of Ceph clusters.
Chapter 8, Ceph Architecture: Under the Hood, deep-dives into the inner workings of Ceph with low-level architecture, processes, and data flow.
Chapter 9, Storage Provisioning with Ceph, here we practice the client side of provisioning and managing each of Ceph’s major services.
Chapter 10, Integrating Ceph with OpenStack, explores the components of the OpenStack cloud infrastructure platform and how they can exploit Ceph for resilient and scalable storage.
Chapter 11, Performance and Stability Tuning, provides a collection of Ceph, networks, filesystems, and underlying operating system settings to optimize cluster performance and stability. Benchmarking of cluster performance is also explored.
