Operations | Monitoring | ITSM | DevOps | Cloud

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.

Learn proven and scalable architectural patterns to secure internal APIs on AWS Lambda

Get the latest Grafana release here: https://grafana.com/get

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.

Motadata's Network Configuration Management helps users deploy policy compliant configurations, alerts them on out of process changes, monitors devices for configuration changes, backup and restore device configurations, manage configuration changes. It works in a multi-vendor environment and it can work with almost all the devices on your network.

In this presentation, we will talk about the concepts around micro-segmentation, but focusing on the visibility that this approach can bring you in your cluster. Who’s talking to whom, and what are they saying? Should that be allowed or not?

Log Patterns uses advanced clustering techniques to automatically analyze millions of log messages in real-time and identify recurring patterns in log data to help engineers streamline investigation and troubleshooting.

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.