Over the past year, Grafana Labs has grown from 300 to 700 Grafanistas. Moving forward, we expect to continue to maintain a high rate of change, and to sustain that, we need to ensure there is flexibility in how our teams* are set up. The majority of our Engineering squads have changed in size and structure — and the same goes for the Grafana Observability team, where I work.
Greetings friends, one and all! Over here on the Field Engineering team, we’re often asked about tracing. Two questions that come up frequently: Do I need to sample my traces? and How do I sample my traces? The folks asking are usually using tracing stores where it’s simply not possible to store all of the traces being generated. Those are great questions and the answers depend on a few different factors.
The recent release of Grafana 8.5 marks the start of enabling the jump from traces directly to Splunk logs. It’s a big leap that now allows you to draw a straight line between your traces — whether they are coming from Tempo, Zipkin, or Jaeger — to even more third-party logging data, all from the comfort of your traces view. Previously, the Grafana trace to logs enablement included only Loki logs.
With a storied past in Dutch maritime history, Royal IHC is known for delivering reliable, integrated solutions for their customers. These clients rely on sophisticated vessels to create new ports, maintain navigable waters, clean up pollution, and slow shoreline erosion through the process of dredging, which involves removing sediment and debris from the water.
SCOM 2022 has been recently made GA and I, coming from a SCOM background, was pretty interested in checking out the latest SCOM product. Luckily, Azure Stack HCI management packs were recently released too, so it was as if the stars had lined up for me to drop everything else and check out this new management pack with SCOM 2022. And that is exactly what I did!
We are delighted to introduce the new first-party ClickHouse plugin for Grafana, developed by Grafana in collaboration with ClickHouse. Grafana is committed to continuing our partnership and maintaining this plugin, and we’re excited to add more features and to grow with ClickHouse. But why Grafana + ClickHouse?
Kibana is a popular user interface used for data visualisation and for creating detailed reporting dashboards. This piece of software notably makes up a key part of the Elastic Stack alongside Elasticsearch and the extract, transform and load (ETL) tool, Logstash. In this comprehensive introduction to Kibana, we are covering all of the basics that you will need to know as a user considering using Kibana for your log data visualisation and reporting needs.
In a previous blog post, Adam Quan presented a great introduction to setting up observability for a Spring Boot application. For metrics, Adam used the Prometheus Java Client library and showed how to link metrics and traces using exemplars. However, the Prometheus Java Client library is not the only way to get metrics out of a Spring Boot app. One alternative is to use the OpenTelemetry Java instrumentation agent for exposing Spring’s metrics directly in OpenTelemetry format.
