STARWEST 2020 Concurrent Session : Enterprise DevOps: Reducing Big-Bang Integrations in Global Organizations


Wednesday, October 2, 2019 - 2:45pm to 3:45pm

Enterprise DevOps: Reducing Big-Bang Integrations in Global Organizations

Add to calendar

Six or seven years ago, the norm for update rollouts was a single Microsoft Windows OS release every three years being validated with an annual tick-tock cadence of Intel CPUs. About three years ago, new OSes started to be released twice a year, with new platforms developed several times a year. For us at Intel, this meant we had to increase the speed of our integration and test processes up to tenfold. At the time, our scaling challenges included slow software delivery mechanisms, inefficient testing strategies, and lengthy times to find and fix bugs. If we were going to meet the growing quality demands of our customers, we would have to innovate significantly and move our big-bang integration processes to a continuous deployment model. Join Madhu Datla as he shares how Intel embarked on a large-scale, enterprise-wide DevOps journey spanning the world and supporting 20,000 software developers generating thousands of software builds. Discover how Intel created new test strategies that identified test coverage at different levels of software development, as well as opportunities to evaluate quality expectations at multiple levels. You'll take away tips on the use of staged DevOps, management alignment, tool unification, mission-control metrics, monitoring dashboards, and more.


Madhu Datla is senior software engineering manager at Intel in the analytics and DevOps organization. He has deep experience in DevOps practices, engineering management, product development, and leading cross-organizational initiatives. Madhu has been working in this field for over eight years as a part of Intel's software community's transformation to move towards a One Intel modern infrastructure. In his free time he enjoys spending time with his family and traveling. He earned his Masters in Computer Science from Arizona State University. You can contact him through Twitter or via LinkedIn.