The definitive book on the OpenStack Trove database as a service, published by APress, is now available from leading booksellers.

 

The 313-page paperback serves as an introduction to OpenStack Trove, along with detailed descriptions of how to operate noSQL and relational databases in public and private clouds. It also provides an in-depth understanding of the Trove architecture. The authors are Amrith Kumar and Douglas Shelley, both active technical contributors to the Trove project, who work at Tesora Corp.

 

“OpenStack Trove” is targeted at a broad spectrum of readers, including software engineers seeking development agility with database-driven applications, devops engineers tasked with operating a database infrastructure with numerous databases, and data analysts looking to improve velocity by being able to quickly provision and release database capacity.

 

It is available (list price $49.99) from Amazon, Barnes & Noble and others, or on Kindle ($39.99). At Tesora’s OpenStack Trove Day event on August 25, books will be available at a discount with proceeds going to benefit the Women Who Code organization.

 

The OpenStack Trove database as a service project is transforming the way databases are provisioned and managed, to make database capacity that can be consumed on-demand like electricity. Tesora is the leading contributor to the Trove project, alongside other contributing companies like HP, Rackspace, eBay, and Red Hat.

 

The book also provides a step-by-step guide to set up and run a secure and scalable cloud Database as a Service (DBaaS) solution. It covers how to configure the Trove DBaaS framework, using pre-packaged or custom database implementations, and provision and operate a variety of databases—including MySQL, PostgreSQL, MongoDB, Cassandra, and Redis—in development and production environments.

 

It also shows how to perform common administrative tasks such as resizing and reconfiguring database instances, as well as taking backups. The book reviews common deployment scenarios such as single-node database instances and walks through the setup, configuration, and ongoing management of complex database topics like replication, clustering, and high availability.