Today Bitbucket is releasing a new labs feature, "Pending Merges", which allows for automatic merging of pull requests when builds pass. This means no more continually checking back in on your pull request, just waiting and waiting for your builds to pass before you can finally merge it. You will no longer be forced to begrudgingly fix that one-character whitespace typo in your comment that you really should fix, but that means you're in for another 30-60 minutes of watching your builds.

Introducing, adding, or replacing a new SCA (Software Composition Analysis) tool such as JFrog Xray into your SDLC, if not handled correctly, can be very disruptive to the SDLC and organization. This blog post provides recommended best practices for onboarding JFrog Xray; in order to reduce disruption, improve adoption, and shift left to create a DevSecOps behaviour.

I have worked at Virtana for nearly 9 years. During that time, I have had the pleasure to interact with customers, prospects, and partners around the world. The types of conversations I have participated in have dramatically shifted during that time. Back in September 2011, the dialogues were largely focused on Storage Area Network (SAN) infrastructure, and how Virtana could provide performance assurances targeted at this environment. Over time, the conversations have broadened dramatically.

In previous and great articles in here, we already talked about what Cloud is and the types that exist floating above our heads. But today, for a change, we want to focus more on one of its totally forgotten key aspects: Are clouds actually made of childish dreams and cotton candy? No! Just kidding! Today we are going to talk in “Pandora FMS discussions” about what cloud service types there are.

VMware Tanzu Application Service 2.10 is now generally available (GA) on the Tanzu Network. As SpringOne approaches, it’s only fitting to have a new Tanzu Application Service release to talk about. Spring and Tanzu Application Service is the dynamic duo that drives superior business outcomes for enterprises around the world.

In order to have the most successful deployment, there are a few best practices that software development teams should be mindful of. First, following a continuous delivery approach allows software development teams to release in shorter cycles, so that building, testing, and releasing can be done with greater speed and reduced error rates.

Having a proper backup recovery plan is vital to any organization's IT operation. However, when you begin to distribute workloads across data centers and regions, that process begins to become more and more complex. Container orchestration platforms such as Kubernetes have begun to ease this burden and enabled the management of distributed workloads in areas that were previously very challenging.

In order to have the most successful deployment, there are a few best practices that software development teams should be mindful of. First, following a continuous delivery approach allows software development teams to release in shorter cycles, so that building, testing, and releasing can be done with greater speed and reduced error rates. As stated in an earlier post of ours, you’re doing continuous delivery when: Your software is deployable throughout its lifecycle.

Continuous Integration and Continuous Delivery (CI/CD) delivers services fast, effectively, and accurately. In doing so, CI/CD pipelines have become the mainstay of effective DevOps. But this process needs accurate, timely, contextual data if it’s to operate effectively. This critical data comes in the form of logs and this article will guide you through optimizing logs for CI/CD.