CockroachDB: The Definitive Guide: Distributed Data at Scale

Get the lowdown on CockroachDB, the distributed SQL database built to handle the demands of today's data-driven cloud applications. In this hands-on guide, software developers, architects, and DevOps/SRE teams will learn how to use CockroachDB to create applications that scale elastically and provide seamless delivery for end users while remaining indestructible. Teams will also learn how to migrate existing applications to CockroachDB's performant, cloud native data architecture.

If you're familiar with distributed systems, you'll quickly discover the benefits of strong data correctness and consistency guarantees as well as optimizations for delivering ultra low latencies to globally distributed end users.

You'll learn how to:

• Design and build applications for distributed infrastructure, including data modeling and schema design
• Migrate data into CockroachDB
• Read and write data and run ACID transactions across distributed infrastructure
• Plan a CockroachDB deployment for resiliency across single region and multi-region clusters
• Secure, monitor, and optimize your CockroachDB deployment

Guy Harrison has worked with databases for more than a decade, has conducted many MySQL and Oracle training seminars, and is author of several books on Oracle, including "Oracle Desk Reference" (Prentice Hall PTR). Currently a product architect at Quest Software, Harrison has conducted many training seminars and has authored several articles for the Oracle Technical Journal. He resides in Australia.

Jesse Seldess is the VP of Education at Cockroach Labs, where he leads the documentation and training teams. He has nearly 20 years of experience in technical documentation, and has built teams from the ground up at Cockroach Labs and AppNexus (now Xander).

Ben Darnell is the cofounder and chief architect at Cockroach Labs, where he built the distributed consensus protocols that underpin CockroachDB’s transactional model. He started his career at Google and then went on to a series of startups where he saw firsthand the need for better scalable storage systems.