Operations | Monitoring | ITSM | DevOps | Cloud

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?

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.

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!

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.

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.

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 🙌

When you migrate workloads from on-premise infrastructure into a public cloud, you can improve the performance, reliability, and security of your application, and you might also lower your costs.

The artificial neuron was first hypothesized in the 1930s, but only in the last decade have we seen the widespread application of artificial neural networks and machine learning to everyday technologies. Broadly speaking, machine learning describes a technical discipline defined by computer algorithms that improve automatically through experience and the use of data. These days, the combination of machine learning and "big data" power an increasing number of digital tools that we interact with daily.

With a multitude of digital options available in almost every industry, it’s become increasingly critical that applications and services provide a positive user experience. Doing so requires a high level of availability, made possible (in part) by efficiently identifying and resolving issues with the system, when they occur. To achieve this, monitoring all critical components of an application and its infrastructure is a necessity.