Agile + DevOps West 2023 - DevOps Automation

Although there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent — people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based systems shrouded in mystery due to their largely black-box nature, they also tend to be unpredictable since they can adapt and learn new things at runtime. Validating ML systems is challenging and requires a cross-section of knowledge, skills, and experience from areas such as mathematics, data science, software engineering, cyber-security,...

Effective prioritization is critical to wring the most out of agility. When you’re just delivering once, ordering matters little. However, when the option to release on a regular basis is available, what you do sooner rather than later can have huge impacts on value realization, risk mitigation, and more. However, prioritization is much easier in theory than in practice for most organizations. Arlen has been a practicing agilist for over two decades. Working with hundreds of clients and teaching thousands of students how to effectively prioritize is one of the most frequently raised topics...

Testing automation has a reputation for being slow and unreliable, but automated tests which are not run as a part of the CI/CD pipeline are often ignored or written off when they don't pass. If nobody pays attention to the results though, automated tests are not very useful. Any tests which depend on another system will eventually break, unless special care is taken, keeping the addition of integration (or larger) tests to the build pipeline just out of reach. During this session, John Jenkins will show attendees how these larger tests can be reliably automated, so that these tests can be...

You have finally split your monolith into microservices. How do you validate a complex application and make it scale? Instead of having just one CI/CD pipeline, you have several. And as the number of microservices increases, so does the quantity of pipelines. As an outcome, managing pipelines for microservice applications can get out of hand, especially when you try to reuse common pipeline parts amongst different applications. If you apply monolithic solutions to microservice problems, you will have a bad time. If you treat microservices like monoliths, you’ll end up with thousands of...