Hey there! This is Éamon Ryan from the Solutions Engineering team. Very recently the Splunk data source plugin, which is available with a Grafana Enterprise license, had a new release: v2.1.0. While it added a few good bug fixes for edge cases, the biggest change, I think, was the addition of support for data links! Data links actually show up in a few places inside Grafana.
Grafana v7.4 has been released! The big news for Grafana 7.4 is the next-generation graph panel called time series, which is in beta. A high-performance visualization based on the uPlot library, it uses the new panel architecture introduced in Grafana 7.0 and integrates with field options, overrides, and transformations.
Auto-instrumentation is a subject I have not had much experience with. Here at Grafana Labs, we primarily develop in Go, which doesn’t afford such luxuries. However, there is an enormous amount of interest from the community in Java auto-instrumentation, so I set out to determine what was possible using the shiny new OpenTelemetry auto-instrumentation libraries.
Data streaming is important for getting insights in real time and reacting to events as fast as possible. Its application is wide, from banking transactions and website click analytics to IoT devices and motorsports. The last example represents a really interesting use case.
Many of us get sentimental about past projects we’ve worked on…for me it is a mobile dashboard that leveraged ML/AI to help a sales team make quicker decisions while in the field (nerdy, I know…but it was one of my first projects as a UX Designer when I was starting out my career, and I have many fond memories about this project). For many members of the team at Grafana Labs, that sentimental project is worldPing.
Recently I got the chance to attend a PromQL training conducted by Julius Volz, the co-founder of Prometheus, and in this post I am going to share some of the key takeaways from my experience.
January 20, 15:01 UTC. I was sitting in my home office, watching the screen and feeling a mix of emotion and nostalgia as a pod was getting terminated. We have thousands of pods, continuously starting and terminating, and I’m definitely not spending my days watching them, so why was this one special? The terminating ingester-0 pod was the very last Cortex ingester running on chunks storage in Grafana Labs’ infrastructure.
We recently launched synthetic monitoring, which helps you understand your users’ experience and improve website performance by proactively monitoring your services. This feature, which surfaces the powerful capabilities of Prometheus blackbox exporter, is the next iteration of worldPing.
The Raspberry Pi is a popular and inexpensive device that comes in many shapes and forms. It’s a popular hobbyist tool that is generally purchased to run all kinds of software experiments on. But make no mistake, even though a Raspberry Pi comes in a tiny form factor, it’s a fully functional computer!
Most people are instrumenting their applications, with logs being an easy first step into the observability world, followed by metrics. Tracing lags behind these two and is maybe a little less used than other observability patterns. We hope to change that.
