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.

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.

Tracealyzer version 4.8 has just been released, with major optimizations and improvements for Zephyr RTOS, and support for 64-bit target processors (FreeRTOS, Zephyr and SafeRTOS only). In addition, the ESP32 support is upgraded to use the latest TraceRecorder library, supporting all recent versions of ESP-IDF up to v5.2 dev. Snapshot tracing is now primarily supported by the implementation for streaming mode, using the RingBuffer stream port.

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.

5G has the potential to revolutionise the telecommunications industry, offering high speed and connectivity for a wide range of devices ranging from radio access networks (RAN), user equipment (UE), and core networks. However, the high costs associated with 5G infrastructure have been a significant blocker for adoption, hindering innovation and growth in this area. This blog discusses the primary challenges faced in the telecom industry and how open source technologies are helping to resolve them.

The rollout of new technology can come with hesitation and even fear, and generative AI is no different. The New York Times in February 2023 dubbed the popularity of ChatGPT a “phenomenon” that started an AI arms race – one that wasn’t exactly welcomed by news writers, marketing agencies, or business leaders.