The dynamic nature of cloud costs can make it difficult to fully understand your cloud spend and embrace cost ownership at all levels of your organization. To establish cost governance, FinOps teams need a complete view of cloud costs, including allocation by team, service, and product. And DevOps teams need to detect, investigate, and quickly mitigate unexpected costs to minimize overruns, even as they continue to build features and operate their services.

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.

In today's fast-paced tech environment, swiftly and efficiently resolving software errors is essential to maintain the seamless operation of your application. A prominent problem for engineering leaders is they often need help tracking and effectively understanding their error resolution performance over time. With a comprehensive, real-time visualization of this data, making informed decisions, setting performance benchmarks, and optimizing resources become easier.

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.

When we announced that Pyroscope was joining Grafana Labs back in March, we expressed our excitement that uniting the Pyroscope and Phlare open source projects and teams would accelerate our plan to add continuous profiling to Grafana Cloud. Just two and a half months later, that day has come! We are proud to announce that Grafana Cloud Profiles is now available in public preview for all Grafana Cloud users, both paid and free.

Today I am thrilled to introduce our Intelligent Deployment Analysis feature, designed to significantly improve your troubleshooting process. Picture this: you're stuck, scratching your head over what went wrong with your deployment - was it the Node.js asset compiler or a missing package in your Dockerfile?

Integrating network intelligence and application observability, our latest Customer Digital Experience Monitoring enhancement enables end-to-end visibility and eliminates silos.