Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

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.

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.

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.

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.

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.

As cloud providers and infrastructure technologies grow their support for Windows containers, developers who use the Windows ecosystem are more and more able to enjoy the benefits of containerization. It’s quicker and easier than ever to modernize and deploy applications that use Windows-specific frameworks like .NET. Plus, Windows developers can use orchestration services like Kubernetes, Amazon ECS, or Docker Swarm to manage the complexity that containerized environments introduce.

As organizations build out their serverless footprint, they might find themselves managing hundreds or thousands of individual components (e.g., Amazon S3 buckets, Amazon DynamoDB tables, AWS SQS queues) for just a single application. At the same time, performance issues can crop up at any of these points, which means that having access to detailed observability data from your serverless functions is crucial for effective troubleshooting.

Simple, yet powerful metrics to determine the health and protection status of your Spectrum Protect environment in a single pane of glass.