Profilers measure the performance of a program at runtime by adding instrumentation to collect information about the frequency and duration of function calls. They are crucial tools for understanding the real-world performance characteristics of code and are often the first step in optimizing a program. Apple and Google have first party profiling tools, but they are only usable for local debugging during development.

A recent global survey demonstrates the importance of open source tools and technologies to IT professionals and their organizations. In Foundry’s MarketPulse Survey for SUSE, 2022, more than 600 IT professionals from enterprises around the world shared their experience and opinions on cloud native technology and open source. The results? Sixty-three percent of those surveyed said it was highly important for their organizations to choose open source tools and technologies.

Many developers don’t know what instrumentation really is, and those who do don’t really understand the black magic that takes an application and makes it emit telemetry, especially when automatic instrumentation is involved. On top of that, each programming language has its own tricks. I wanted to unwrap this loaded topic on my podcast, OpenObservability Talks. For this topic I invited Eden Federman, CTO of Keyval, a company focused on making observability simpler.

A New Season NFL Football season is upon us. And while I get to spend several hours watching my favorite team, my colleagues at Zebra MotionworksTM are revving up their analysis and insights as "The Official On-Field Player-Tracking Provider" of the NFL. As a fan, I'm amazed by all the information from tracking technology. Besides being cool, it captures data points that weren't even possible before and provides detailed views of players' health and performance.

When debugging an RTOS-based system, tracing can often give a better understanding of the real-time behavior of your system. Percepio Tracealyzer supports two main types of RTOS tracing, snapshot and streaming, both offering the same powerful visualization although streaming allows for collecting longer traces. The Percepio trace recorder offers several options to allow developers to adjust the tracing setup to fit their target system and their analysis needs.

Smooth payment operations are critical for every merchant’s success. At its most basic level, a seamless and reliable payment process is the key to assuring transaction completion, which is at the very core of a merchant’s financial strength. However, when payment data systems fail to deliver insights about issues regarding approvals, checkouts, fees or fraud, the result is revenue loss and sometimes customer churn.

When you’re on-call for a critical service and get alerted to an issue that could impact customers, you need quick access to key performance metrics in order to effectively troubleshoot. But all too often, digging into this data requires you to switch from your mobile device to a laptop, restricting your ability to troubleshoot on the go and disrupting your routine.

This article provides a few tips and tricks for diagnosing ccache misses, to keep your C/C++ build nice and snappy!

Kubeflow is an open-source MLOps platform that runs on top of Kubernetes. Kubeflow 1.6 was released September 7 2022 with Canonical’s official distribution, Charmed Kubeflow, following shortly after. It came with support for Kubernetes 1.22. However, the MLOps landscape evolves quickly and so does Charmed Kubeflow. As of today, Canonical supports the deployment of Charmed Kubeflow 1.6 on Charmed Kubernetes 1.23 and 1.24.