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”!
Imagine being on a relaxing vacation, the waves lapping at your feet, a drink in hand, and then you hear a gentle ping from your phone. Uh oh… what now? This alert is not an annoying email or a distracting message, but a digital fire alarm informing you that your website is down. Vacation time is over—time to find your laptop and some Wi-Fi.
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.
The C printf function is a staple of embedded development. It’s a simple way to get logs or debug statements off the system and into a terminal on the host. This article explores the various ways to get printf on Cortex-M microcontrollers.
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.
Sometimes innovation requires ideas unconstrained by traditional structures and removed from day-to-day responsibilities. It was in this spirit that PagerDuty’s People HackWeek–a friendly competition to explore how generative AI might impact the future of HR–was born.
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.
