A typical IoT application with any physical system or process in the field can have hundreds of on-site sensors generating copious amounts of data every second and possibly communicating in several different protocols.
Within the world of robotics and automation one of the most recurring needs is that of capturing and visualizing real-time data from hardware components such as sensors and actuators, which provide insights into how a system is behaving overall and helps diagnose any potential issues that might arise overtime.
At Seniorlink, we provide services and technology to support families caring for their loved ones at home. In the past two years we’ve expanded our programs across the United States, and so our need to observe our application systems has grown too.
The power of community makes Grafana one of the most composable platforms for monitoring and observability across a wide variety of use cases. The Grafana Plugin Directory features not just plugins created by our team here at Grafana Labs, but by Grafana community members all over the world. It’s the best place to browse for new data source integrations, panels, and applications you can install on your dashboard to extend Grafana’s functionality.
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.
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?
Data has gone from scarce, expensive, and hard to find and collect to rich and cheap, hard to process and understand with the digital age. In data science solutions, traditional software was used to capture, store, understand and analyze, but not all verticals of data science are essential for individuals and businesses. So Data visualization comes into play to make your tasks easy.
We recently heard that a customer, a power user of Prometheus, was grappling with 18,000 individual rules for its metrics, because its setup involved creating an individual rule group for each generated metric. Surely there was a better, more efficient way to handle this scale of metrics? In fact, we did come up with a solution, and this blog post will walk you through how you might benefit from it too.
Back in February, we introduced Grafana Enterprise Logs (GEL) into the Grafana Enterprise Stack. GEL is a new way for large organizations to ingest and query their full log volume, without the cost or operational complexity associated with other solutions. (View a demo here.) We just released GEL 1.1, and one of its key features is label-based access control (LBAC).
