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?
Datadog provides you with a comprehensive and highly customizable platform for monitoring the performance and security of your applications. Through Datadog components deployed in your environment—including the Agent, tracing libraries, and Observability Pipelines workers—you can easily configure monitoring across your hosts and services, regardless of the particular technology you’re using.
Last year we introduced Sentry Cron Monitoring (beta) to help developers get code-level context and performance trends for their scheduled jobs. While Crons remains in beta, we’ve heard your feedback over the past few months and want to share some big improvements we’ve shipped. In this post, we’ll cover how we’ve simplified the setup process by integrating Crons into our SDKs and automating monitor setup for select frameworks.
On behalf of ServiceNow Chairman and CEO Bill McDermott, and our executive leadership team, I’m honored to share that ServiceNow has been named to the prestigious Fortune 500® list for the first time in company history, joining an elite group of the largest companies in the United States. Since placement on this list is based on fiscal year revenues, ServiceNow’s inaugural appearance is evidence of our continued growth trajectory.
