Operations | Monitoring | ITSM | DevOps | Cloud

Hello, tech aficionados and IT professionals! If you’re in the business of managing digital assets, workflows, or intranets, chances are you’ve crossed paths with SharePoint. But do you ever wonder how this versatile platform has evolved over the years? Or perhaps you’re curious about what future enhancements are on the horizon? Well, buckle up, because we’re about to embark on a comprehensive journey through the fascinating world of SharePoint.

We’ve seen two general approaches to getting optimization done to reduce cloud costs in our customers; the first and most popular is “the stick” where FinOps teams campaign against lines of business development teams with a mantra of “spend less”!

A data center technician holds the responsibility of installing, maintaining, and monitoring the equipment and systems within a data center. They ensure the proper functioning and updated status of both hardware and software, playing a vital role in safeguarding data security and availability.

Engineering leaders are accountable to shipping quality products on time and within budget. But a CEO's historical understanding of engineering operations has been pretty opaque: ships on time, or doesn't. And although DORA metrics are a good place to start, they don’t offer the complete picture needed for CEOs. With new tooling to support greater engineering efficiency, CEOs are learning that it's possible to get a richer picture of engineering productivity, quality, and velocity.

We are delighted to announce the release of a new version of Rancher Desktop. This release includes significant enhancements to features such as Deployment Profiles, mount types support, networking proxy configuration, and other important bug fixes.

The report is so absurd and naive that it makes no sense to critique it in detail. - Kent Beck responding to the McKinsey Report. Luckily this was a hollow threat, because a few days later he and fellow blogger Gergely Orosz released a two part blog series critiquing not exactly Mckinsey's report but... any report that tried to put “effort based” metrics at the top of the list for things to track.

Behind the trends of cloud-native architectures and microservices lies a technical complexity, a paradigm shift, and a rugged learning curve. This complexity manifests itself in the design, deployment, and security, as well as everything that concerns the monitoring and observability of applications running in distributed systems like Kubernetes. Fortunately, there are tools to help developers overcome these obstacles.