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.

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.

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.