The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Canonical’s MLOps portfolio is growing with a new machine learning tool. Charmed MLFlow 2.1 is now available in Beta. MLFlow is a crucial component of the open-source MLOps ecosystem. The project announced it had passed 10 million monthly downloads at the end of 2022. With Charmed MLFlow users benefit from a platform where they can easily manage machine learning models and workflows.
June 7, 2023 It’s no secret that Kubernetes is one of the fastest-growing technologies in use today for deploying and operating applications of all types in the cloud. It’s also no secret that Kubernetes’ popularity is a significant contributor to fast-growing cloud bills. FinOps teams are constantly looking for ways to lower their cloud spend, in cooperation with the DevOps, Engineering and App owner teams that control this infrastructure.
Every data center has a rhythm. When you think about a single application—SAP, for example—it has certain “beats.” First thing Monday morning, you see a steady and fast cadence, while over the weekend, it slows to a light tap. And there may be seasonality that rises to a crescendo.
Artificial Intelligence (AI) is the current buzz word in IT with AI promoted as the magic ingredient for improving business performance across a wide range of areas. But how, specifically, does AI enhance Network Management? The idea that computers can manage themselves is nothing new.
As we continue to see rapid technological advancements, organizations must evolve and adapt to maintain a competitive edge. The principles of DevOps - collaboration, automation, continuous integration, and delivery - have emerged as critical success factors in this landscape, enabling organizations to navigate the ever-changing environment.
It’s easy to get pulled into paying more and more at a major monitoring company, despite not getting the functionality that you’re looking for. Leaving your monitoring provider can be difficult because it means replacing expensive software or hardware, re-educating your team, and transferring huge amounts of data to a new system - data that may or may not be well suited to the new system. Despite these issues, there are many reasons that motivate users to move to open source.