Operations | Monitoring | ITSM | DevOps | Cloud

As the popularity of Windows Subsystem for Linux increases, the Ubuntu development team is committed to delivering a first class experience for Linux developers on Windows. To achieve this we’ve made improvements to our automated testing workflows via the creation of WSL-specific GitHub actions. In this post, Ubuntu WSL engineer Eduard Gómez Escandell talks us through the motivation for this approach and how you can implement these actions for your own CI workflows.

Recently, I wrote an article discussing why industrial organizations should migrate from legacy data historians to modern, open source technologies. The reasons for such a migration remain valid; however, it dawned on me that such a heavy-handed approach is not always right for every organization.

The evolution of information technology is governed by how businesses adapt to ever-increasing amounts of data. Those businesses most able to exploit more data, win. Terms such as ‘speed’ and ‘agility’ refer to how a business handles and uses this data. Given the 2.5 quintillion bytes created every day, there is a huge opportunity for businesses to create unassailable leadership.

Logging provides a wealth of information about system events, errors, warnings, and activities. When troubleshooting issues, logs can be invaluable for identifying the root cause of problems, understanding the sequence of events leading to an issue, and determining the necessary steps for resolution. By regularly analyzing logs, administrators can identify performance bottlenecks, resource limitations, and abnormal system behavior.

Building Docker images efficiently is crucial for developers and organizations seeking streamlined development and deployment processes, and it’s a real topic for the 50k developers on Qovery; a few weeks ago, a topic was even open on our forum about it. In this article, we will explore three valuable tips gathered along the way to improve the build time of your Dockerfiles, allowing you to optimize your workflow and save valuable time.

Streaming telemetry holds the promise of radically improving the reliability and performance of today’s complex network infrastructures, but it does come with caveats. In the first of a new series, Kentik CEO Avi Freedman covers streaming telemetry’s history and original development.

The benefits of going cloud-native are far reaching: faster scaling, increased flexibility, and reduced infrastructure costs. According to Gartner®, “by 2027, more than 90% of global organizations will be running containerized applications in production, which is a significant increase from fewer than 40% in 2021.” Yet, while the adoption of containers and Kubernetes is growing, it comes with increased operational complexity, especially around monitoring and visibility.

Overview of what is high cardinality in the context of monitoring using Prometheus and Grafana.

Papertrail has had the ability to alert on searches that match events for years, but what about when they don’t? When a cron job, backup, or other recurring job doesn’t run, it’s not easy to notice the absence of an expected message. But now, Papertrail can do the noticing for you with inactivity alerts. Papertrail inactivity alerts allow you to setup notifications when searches don’t match events.

Embedded systems often require a careful eye to where memory resources are being spent, especially runtime memory utilization like stack and heap memories. This article is intended to shed some light on strategies for measuring stack memory usage on a small embedded system.