5:30 – 6:00 :: Networking & Happy Hour (Pizza & Beer Included)
6:00 – 6:45 :: Path to Production – Value Stream Mapping in a DevOps World
6:45 – 7:30 :: Monitoring Production Level Apps in Cloud Foundry Using New Relic
Path to Production:
Over the last few years, we’ve seen some staggering deployment numbers from large organizations that have made the shift to delivering and operating their applications on a platform. Companies like Allstate, for example, have deployed applications to production using Cloud Foundry 11,500 times in 2017. Liberty Mutual performs 2,500 daily builds and 1000 production deployments per day. Finally, T-Mobile has reduced the time and effort to deliver software to production from 7 months and 72 steps to a few days. How did these organizations transform to achieve this speed and volume for delivering applications to production? They leveraged Value Stream Mapping (VSM). Value stream mapping is an essential tool in understanding how business organizations deliver software value to customers. It calculates the most important metric in business today, time-to-value. In this session, we will discuss the ideas and concepts of value stream mapping and how it’s been applied to software delivery and DevOps to achieve these incredible results while maintaining security and financial control.
Jamie O’Meara is a Advisory Platform Engineer at Pivotal, with an emphasis on Cloud Native (CN). Jamie is very passionate about Cloud Native Infrastructure, Cloud Native Applications and its impact on software architecture, design and development. Prior to joining Pivotal, Jamie held positions as a Software Manager, Software Architect and Software Developer and established his own consulting firm.
Ben Kamysz is an Manager of Platform Architect with Pivotal. His current focus is enabling customers to achieve maximum velocity through the use of Cloud Foundry, Spring, lean methodology (such as value stream mapping), and CI/CD practices. Prior to Pivotal, he worked with customers to build development teams and instill best practices to ensure success in insurance, defense, fitness, real estate, and online marketing. Ben holds a degree in Computer Engineering from Kettering University.
Monitoring Production Level Apps in Cloud Foundry Using New Relic:
We are going to dive deep into getting New Relic APM (Application Performance Monitoring) running on Cloud Foundry. Our vehicle will be a sample Java application that we will install and ensure it is reporting data into New Relic while running on Cloud Foundry. Once we have it working, we will update the configuration, add some custom instrumentation, re-deploy those changes, and view the updates in Cloud Foundry and New Relic. And why is this important? It is important because all production applications need language-specific application and code level monitoring to complete what Cloud Foundry already provides.
Brian Langbecker is a Senior Solutions Consultant at New Relic focusing on Enterprise Level Customers in the Rockies and Pacific Northwest. He focuses heavily on application performance monitoring and data analytics, specifically on how to drive both technical and business value. Prior to New Relic, he worked as a Solutions Architect for a series of start-ups and large enterprises. Beyond that he has been a software developer, QA manager, marketing engineer and systems administrator. He moved to Denver last year with his family after living in Seattle for last 17 years.
Dan Stadler spent 10+ years developing web/database applications in Java, Ruby, Python, and his personal favorite language, Groovy. After spending 5 years living, working, getting married and having his first kid in Germany, he and his wife moved to Portland Oregon, where he transitioned into Sales Engineering and Solution Consulting.