Operations | Monitoring | ITSM | DevOps | Cloud

Running successful cross-functional projects, when teams are no longer co-located in the same physical space, requires a different approach. Read on to find out how we used this as an opportunity to improve how the Marketing Division at Redgate collaborates with other parts of the business and how you can apply some of our learnings in your own organization.

This is the first part of a multi-part post focusing (mostly) on front end search and Command Palettes. If you are not familiar with Command Palettes, they are a power-user's dream: a universal overlay on your webpage that's triggered with a key shortcut (usually Command + K) and allows your users not only to search the content but also perform actions on your website. The goal here is to "keep the user's hands on the keyboard" (and away from the mouse), when using your application.

In today’s world, there’s no lack of monitoring data. In fact, the amount of data DevOps and SRE teams are dealing with on a daily basis can be confusing and overwhelming. Often, the problem is threefold.

DevOps plays a critical role in today’s business landscape, enabling organizations to automate and innovate swiftly at a time when digital transformation projects put a premium on those capabilities. The benefits of DevOps, though, can only be relied on when related security risk mitigation is considered and embedded into DevOps processes.

Creating a DevOps workflow to optimize application deployments to your Kubernetes cluster can be a complex journey. I recently demonstrated how to optimize your local K8s development workflow with Rancher Desktop and Skaffold. If you haven’t seen it yet, you can watch it by viewing the video below. You might be wondering, “What happens next?” How do you extend this solution beyond a local setup to a real-world pipeline with a remote cluster?

Every technical team in the software industry is familiar with technical debt. That is because every software team incurs technical debt along the way. This article answers some critical questions about technical debt. It reviews what technical debt is and what its causes are, why it is essential to address technical debt, and how this debt accumulates.

This article was inspired by our recent "5 tools to increase Kubernetes developer productivity" video, hosted by Saiyam Pathak and Kunal Kushwaha. Over the years Kubernetes has become the de facto orchestration platform, as such it's crucial that developers have the right set of tools to increase their productivity for development and operations. In this article, we take a look at five such tools that can help developers inprove productivity while when Kubernetes. Let’s jump in.

Continuing on from Part One where we went through a brief history of containers and Kubernetes then Dockerized a NodeJS application, now we are ready to deploy to Kubernetes. If this is your first or nth time deploying to Kubernetes, Shipa makes this simple. You don’t have to worry about authoring multiple Kubernetes manifests and templates to deploy your application, all you need is an image.

Live kernel patching is an essential component of your Linux server management and vulnerability remediation strategy. Patching encompasses all installed software, and software essential for baseline operation of the OS. The most dynamic component of Linux, essential for baseline operation, is the kernel.