DevOps have proven its efficiency for web application and software company. The implementation of DevOps and agile approach to large enterprise with multiple system gets harder when systems with different business data model have to communicate. Part of the problem can be addressed by using machine learning to automate data mapping and to integrate in the DevOps business centric test across teams and vendors. We’ll demonstrate a beta version.

A short talk about building containers used in pipelines. From my recent experiences in converting pipelines from running on VMs to containers. Bio: Almost 12 years of working around Developers. started at Checkpoint and than followed by 3 companies that no longer exist.

So, you want to update the software for your user, be it the nodes in your K8s cluster, a browser on user’s desktop, an app in user’s smartphone or even a user’s car. What can possibly go wrong? In this talk, we’ll analyze real-world software update fails and how multiple DevOps patterns, that fit a variety of scenarios, could have saved the developers. Manually making sure that everything works before sending an update and expecting the user to do acceptance tests before they update is most definitely not on the list of such patterns.

In this webinar, JFrog and NeuVector will discuss the attack vectors in the pipeline and how to build security into the CI/CD process from build to ship to run-time. This will enable organizations to achieve Continuous Protection (CP) for their entire pipeline.

Atlassian was chosen as the technical partner to introduce and apply the LEAN methodology at HP. LEAN is not just a buzzword or a quick fix, but rather a strategy: a new way of thinking and running a company, which is beneficial for both line workers and the CEO. The ultimate goal was to create the most value for the customers while minimizing resources, time, energy and reducing waste.

Many companies and organizations have adopted CI/CD processes in order to help deliver applications running on Kubernetes quickly, transparently, and with automated tests. While this is a desirable goal, it gets more complex when developing a management layer on top of k8s, especially when both images and Helm charts are involved.

Reducing DevOps costs is a high priority for teams moving to microservices, yet remains a huge challenge when trying to speed up test execution and Continuous Integration cycles by running all tests in parallel over many machines. Test Impact Analysis (TIA) has evolved over the recent years and is today one of the most innovative solutions to DevOps cost reduction. In this session, I will walk you through the evolvement of Test Impact Analysis, from theory to execution, and how SeaLights has shortened it’s testing and CI cycles by over 50% using Machine Learning – based smart test execution.

Microservices can be hard; understanding container best practices can be hard as those practices are still being discovered. This session aids in minimizing the learning curve with container orchestration, specifically Kubernetes, by bringing DevOps best practices into the mix. This is not another HelloWorld session with quick tips. Instead, you can expect a deep dive into how you can truly go from zero to DevOps superhero by simply selecting container tooling specifically built for simplifying the process.

Even though you’re a small startup or medium-sized business and just beginning your product journey, it doesn’t mean you can’t have a robust and scalable DevOps environment like the Enterprise experts. It is always a good practice when building a startup or a new company to have a solid foundation and start implementing efficient and scalable solutions early. Join and learn how having a limited budget doesn’t mean you can’t have Enterprise quality tools. Hosted by DevOps.com