Welcome to Part II of this three-part blog series on adopting the low latency Ubuntu kernel for your embedded systems. In case you missed it, check out Part I for a brief intro on preemptable processes in multiuser systems and memory split into kernel and user space. The low-latency Ubuntu kernel ships with a 1000 Hz tick timer granularity (CONFIG_HZ_1000) and the maximum preemption (CONFIG_PREEMPT) available in the mainline Linux kernel.

COPE stands for Corporate Owned Personally Enabled Device. These are devices that are owned and provided by the company for work but are also expected to be used for personal reasons. It’s a term that’s especially relevant today, with the adoption of Everywhere Workplace, as companies are giving employees more freedom with corporate-owned and controlled devices.

Machine learning and artificial intelligence (AI) systems have long been touted as the future of medicine. A patient can walk into a doctors office, and after a quick scan discover their risk for a variety of diseases, and be given information on how to prevent them from occurring. Patients suffering from diseases like cancer can have treatment decisions made by an AI that can optimize care and maximize likelihood of survival.

Welcome to this mini blog series on the low latency Linux kernel for industrial embedded systems! The real-time patch, which is not fully upstream yet, has had many developers wonder about stable alternatives for their projects adopting an embedded Linux operating system (OS) with latency requirements in the milliseconds’ range. The low-latency Ubuntu Linux kernel from Canonical is less costly to maintain than real-time alternatives.

I am excited to share that we’ve just launched our first open source project called ValidKube. The idea behind Validkube is to fuse together the capabilities of three other popular open-source projects (kubeval, kubectl-neat and trivy by Aqua) and present them in a single view, providing users with a way to ensure YAML code hygiene and security, all at the same time and with just a few clicks of the button.

PromQL is the dedicated query language for the metrics and monitoring Stack known as Prometheus. PromQL is well know for having a steep learning curve. Because of this we've created a helpful cheat sheet as a reference to help you with understanding the most common PromQL queries. Please feel free to save the sheet below and share it with any team members that you think would appreciate learning some of the most important queries of PromQL.

The number of internet-connected assets around us that are powering services and utilities in a wide array of sectors is rising at an exponential rate. As a result, it’s becoming critical for businesses that provide such services and utilities to have an observability stack tailored to the type of physical hardware devices that are generally deployed in swarms.

Postman is a great tool for API testing during development. It’s GUI is simple to learn and ubiquitous. However, manually writing test cases for local development gets tedious fast if you have a lot of endpoints. Meticulously entering every detail for every use case takes forever. Also, if you get one HTTP Header or parameter wrong, it can take hours to diagnose. And even when it’s done, the API tests are almost immediately out of date because the API contract changes.