Bar Hofesh - AppSec in the DevSecOps world
We will discuss and tackle the issues of security in the world of sprints, how to automate menial tasks and the important role of AppSec.
Operations | Monitoring | ITSM | DevOps | Cloud
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The latest News and Information on Continuous Integration and Development, and related technologies.
Olivier Kamoun - DevOps for Enterprise Business Application
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.
Eran Zimbler - Integrating containers in pipeline
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.
JFrog CLI, Your GitHub Actions Hero
Now that GitHub Actions version 2 is out of Beta and available for general use, how can you start managing your Artifactory repositories in your automated DevOps workflows? Who will save your binaries in distress? Never fear, JFrog is here! A new Action has joined the GitHub Marketplace that enables you to use the JFrog CLI in your GitHub Actions workflows to move your builds through development, test, and release.
DevOps Patterns and Antipatterns for Continuous Software Updates at Velocity Berlin 2019
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.
Container Security for CI/CD Pipelines with JFrog Xray and NeuVector
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.
We're Honored: Bank of America Recognizes JFrog for Enterprise DevOps Innovation
Being innovative is like being handsome. It only counts when others think so. When Bank of America honors you for being innovative and improving how their 30,000 developers perform, it’s a very handsome compliment. At the 11th Bank of America Technology Innovation Summit, JFrog was recognized for industrial leadership and excellence in providing global business solutions. This year, JFrog was one of only two technology companies honored for its strong partnership with the firm.
Tim Pouyer - Promoting Kubernetes CI/CD to the Next Level
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.
Alon Weiss - How to apply Machine Learning into your CI/CD Pipeline
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.