It's time for monthly product updates aka Signal #03. This month's release hit a major milestones with PRs from 10+ contributors. Let's see what humans of SigNoz have been upto 🙌

Everywhere you look, you see something to do with software and applications. But for all this software to work well, the people behind them have to know how they work. For a software developer, this comes as no surprise. They need to know how their code is working when deployed. Before the software deploys, they want to iron out errors, so they don’t become problematic and frustrate customers.

We are excited to announce the release of Grafana 8.1. This release builds upon our promise of a composable, open observability platform with new visualizations and dynamic panel configuration options while extending the functionality we launched in Grafana 8.0. Get 8.1 You can get started with Grafana in minutes with Grafana Cloud. We have free and paid Grafana Cloud plans to suit every use case — sign up for free now. And now, on to the highlights for 8.1.

After building Lightrun for the JVM – an easier way to get a better grasp on production applications written in Java, Scala, and Kotlin – we’re pleased to announce the release of Lightrun’s developer-native observability platform for Python!

Rudolf Emil Kalman, born in Hungary, 1930, is regarded as the creator of various fundamental systems concepts. His work on the structural aspects of engineering systems included control theory: the use of mathematics to adjust the output of a given data stream, which included the concept of observability. Observability is the measurement of the internal state of a system purely by examining the outputs.

SquaredUp helps customers create dashboards that connect the dots. They do this by assisting users in visualizing and sharing data. And, for the most part, they do this by displaying in dashboards what is happening now. Of course, some visualizations show some historical values or whatnots, but tiles like the WebAPI tile only display a specific value at one particular moment in time. But have you ever wanted to “see” what your application looked like right before an outage?

In the ScienceLogic webinar, “Clearing the Path for Automated Operations,” we look at how one global technology organization got their IT house in order through the application of AIOps and a strategic approach to implementation, based on ScienceLogic’s AIOps Maturity. ITOps teams are overloaded with manual, repetitive work that creates management bottlenecks and takes time away from new projects.

Every database administrator (DBA) is—first and foremost—human. And everyone makes mistakes. It’s not the absence of mistakes but rather how you prepare for those mistakes that makes you a great DBA. Luckily, there are many ways to prepare for those mishaps, whether the errors are made by you or someone else on your team. One commonly made mistake is to drop an object in a database or accidentally delete data.