STARWEST 2019 Tutorial: Continuous Testing Using Containers


Monday, September 30, 2019 - 1:00pm to 4:30pm

Continuous Testing Using Containers

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Containers. Every manager thinks they want them, but few teams have experience in knowing what to DO with them. Used thoughtfully, containerization of your services can transform the way your organization thinks about testing. Gone can be the days of maintaining X different compute environments with Y different configurations. Imagine instead spinning up just the code you need, on the machine type it needs, and only for as long as you need it. In this technical training, Melissa will walk through what containerization means for a legacy code base attempting to practice continuous integration and deployment, and provide key insight in to the sea change this provides for a testing organization. Learn from practical, real-world examples about how testing practices and pipelines can be streamlined to take advantage of the ad-hoc world of containerization. Come away with a real integration test plan that can reduce your cycle times by an order of magnitude while increasing overall product quality. Unlock the power of testing… with containers!


From the largest companies to the very smallest, Melissa Benua has worked in nearly every software development role—dev, test, DevOps, and program management—in her career. She cut her teeth while building running high-availability, high-quality services while working on Microsoft’s Bing and Cortana, and honed her skills for rapid iteration and test while generating enormous quantities of code at pre-Series A startup PlayFab. Now with mParticle, Melissa is passionate about spreading their productivity-boosting best practices far and wide! She isn’t afraid to mix traditional approaches with bold new ideas to make her products better, faster, and more reliable. She’s passionate not only about maximizing efficiency both in her product code and in her developer tools, but also about sharing best practices among colleagues and the tech world at large.