Learn how DBAs in a DevOps environment manage data platforms and change requests to support and optimize continuous integration, delivery, testing, and deployment in the application development life cycle. On the Dev side, DBAs evaluate change requests to ensure compliance with organizational best practices and guard against degradation of database performance and the validity of dependent objects. On the Ops side, DBAs perform release and troubleshooting activities in support of the application, manage the data platform’s access and security, and monitor and maintain performance of the databases that they have designed and provisioned.
DevOps, DBAs, and DBaaS investigates the complex intersection between DBA functions and DevOps processes. DevOps teams traditionally viewed DBAs as process outliers who disrupt and retard SDLC timelines. At each touch point, veteran DBA Mike Cuppett shows how DBAs can most effectively contribute to decreasing release cycle times and improving product resiliency by applying automation, orchestration, and DBaaS solutions to database administration in ways that dovetail with DevOps requirements and metrics.
At a high level, Cuppett demonstrates the importance of leveling silo walls in the IT supply chain and of measuring application performance holistically by reference to satisfaction of customer requirements and end-user experience. At a technical level, he drills into topics and case studies on diagnosing and resolving problems commonly encountered by DBAs and DevOps teams when meshing database management with application delivery.
DBAs who are leaning toward or already involved with DevOps and DevOps engineers, team leaders, developers and product managers who are already working with DBAs or planning to integrate DBAs in DevOps teams. The secondary readership is executives and managers in companies that practice DevOps.
Chapter 1: DevOps for DBAs
Chapter 2: DBAs for DevOps
Chapter 3: Integrating DBA and DevOps Processes
Chapter 4: Integrating Database Technologies and DevOps Tools
Chapter 5: Stateful Data, Stateless Database Schema, and Code
Chapter 6: Optimizing Application Performance with Change Management Improvements
Chapter 7: Measuring DBA Inputs to End-User Experience and Business Value
Chapter 8: Automation and Code Control
Chapter 9: DBaaS, IaaS, and PaaS
Chapter 10: Overcoming Language and Cultural Barriers Between DBAs and DevOps
