Operations | Monitoring | ITSM | DevOps | Cloud

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

KMC - Automated Optimization of Kubernetes Performance

Using the Rancher platform and services, enterprise IT and DevOps teams can overcome the complexity of standing up and running multiple Kubernetes containers. However, as deployments scale, and the number of apps and workloads that teams have running on Kubernetes multiplies, complexity grows exponentially. Much of the difficulty centers on trying to find the best configuration settings for applications. Manual, trial-and-error approaches are ineffective, and always overprovisioning isn’t a viable strategy.

GitKraken Git GUI v7.2: GitLab Issue Tracking Integration

GitLab users will feel even more cunning 🦊 managing your issues directly from GitKraken. The GitKraken Git GUI now integrates with GitLab and GitLab Self-Managed Issues! Now there’s no need to leave the comfortable foxhole of your GitKraken environment to stay on top of your issues. Context switching is, after all, the enemy of an optimal workflow.

Enable suspect commits, unminify JS, and track releases with Vercel and Sentry

If you’re a JavaScript developer there’s a very good chance you’ve heard of or use Vercel. In the small chance you haven’t, Vercel is this awesome platform that makes building and deploying Jamstack frameworks like Next.js incredibly fast and easy. Next.js is gaining in popularity with 51k stars on GitHub and it’s one of the most trusted stacks in the JavaScript world these days.

Monitor and Optimize Your Rancher Environment with Datadog

Many organizations use Kubernetes to quickly ship new features and improve the reliability of their services. Rancher enables teams to reduce the operational overhead of managing their cloud-native workloads — but getting continuous visibility into these environments can be challenging. In this post, we’ll explore how you can quickly start monitoring orchestrated workloads with Rancher’s built-in support for Prometheus and Grafana.

Automatic Merging When Builds Pass

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.

Best Practices for Onboarding JFrog Xray

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.

The Cloud - A sellers' perspective on a hot topic.

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.

Tutorial: Kubernetes-Native Backup and Recovery With Stash

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.

Deployment Tracking Is Critical for Software Teams. Here's Why.

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.

Learn the different cloud service types: SaaS, PaaS, IaaS

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.