The latest News and Information on DevOps, CI/CD, Automation and related technologies.
For teams that follow a structured build and release cycle, having a reliable, shared workflow makes the difference between chaos and consistency. With every new feature in development the team needs to know what the specs are, how it fits in the roadmap, what the customer feedback was, where to find the repository, who is responsible for each step, and so much more.
Building software is hard. Building cloud software is even harder because things move much faster — and require mission-critical reliability and availability. To effectively build software in the cloud, engineering teams need observability, CI/CD, reporting, and lots of tooling. At every organization I’ve worked at, we’ve needed a system of tools that lets us: But all the tools available to engineering teams never quite fit together with our specific processes.
Mattermost v7.0 is generally available today and includes three of our top five most requested features, based directly on your input in our feature idea forum. The following new features are all included (see changelog for more details).
As of v1.35.0 the Netdata Agent can now run Metric Correlations (MC) itself. This means that, for nodes with MC enabled, the Metric Correlations feature just got a whole lot faster! The Netdata Metric Correlations feature uses a Two Sample Kolmogorov-Smirnov test to look for which metrics have a significant distributional change around a highlighted window of interest.
15 June 2022: Canonical today announced that Ubuntu Core 22, the fully containerised Ubuntu 22.04 LTS variant optimised for IoT and edge devices, is now generally available for download from ubuntu.com/download/iot. Combined with Canonical’s technology offer, this release brings Ubuntu’s comprehensive and industry-leading operating system (OS) and services to a complete range of embedded and IoT devices.
Monitoring your on-premise or hybrid infrastructure means keeping track of potentially thousands of devices, any one of which could be a point of failure. Additionally, silos between application and network teams can create visibility gaps that complicate troubleshooting. For network engineers investigating bottlenecks, being able to view real-time infrastructure health and performance data alongside application metrics is essential for ensuring their organizations meet key SLOs.
