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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Hunting for Talent on the DevOps Highway

If you happened to be in Tel Aviv, Israel last month, you probably saw the eye-catching JFrog billboards that took over the city. The JFrog logo with a solid bright green background challenged all of us to Imagine There’s No Version. The JFrog green billboards were everywhere! Decorating trains and buses and lighting up the city landmarks. The message was clear; it was an invitation to imagine a future where software updates flow like water.

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.

Using the 'Run a Child Flow' Action to Call Nested Flows

Calling a flow from another flow is nothing new. Makers can wire up multiple flows using the HTTP Request Trigger and HTTP Action. While this is possible, it creates additional friction as makers have to manually construct request and response messages using JSON. Microsoft recently provided first-class support for calling a flow from another flow by introducing a new action called Run a Child Flow.

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.

Kubernetes 101

The appeal of running workloads in containers is intuitive and there are numerous reasons to do so. Shipping a process with its dependencies in a package that’s able to just run reduces the friction of organizational communication and operation. Relative to virtual machines, the size, simplicity, and reduced overhead of containers make a compelling case.