Dashboards

When it comes to dashboarding, Kibana is king. Since its release Kibana has changed the way businesses visualize data. Kibana is a fairly intuitive platform and offers some seriously impressive ways to visualize data. In this kibana dashboard tutorial, we are going to help you unlock the full potential of the platform and help you become a Kibana guru. When it comes to visualizing data Kibana is well suited for monitoring logs, application monitoring, and operational intelligence.

SquaredUp for SCOM sits on top of your existing SCOM and makes managing it a whole lot easier. In SquaredUp, SCOM data is displayed in beautiful and easily readable dashboards, which are also interactive. The coolest part is that the dashboards can be drilled into, down to the unit level, providing you clear actionable insights. As we will show in this blog with just a few clicks, you can identify the exact source of an alert, isolate the problem and take the appropriate action quickly.

Helm charts are great. They combine high quality, ready-made runtime configurations for a huge number of applications with an incredible getting-started experience. There is literally no faster way to install a production-ready Grafana or Loki on Kubernetes than using helm install. Unfortunately, Helm charts can also be incredibly inflexible.

In Kibana you have a full selection of graphical representations for your data, most of the time this can be a simple line or bar charts to do what you need to do. But every so often you need to take a different view to get the most out of your data. Heatmaps are a critical component of the Kibana visualization arsenal, and deserve their own attention.

In early 2020, the Wavefront team was merged into the newly formed “Tanzu” portfolio under VMware’s Modern Applications business unit.

Often there’s a focus on how a service is running from the perspective of the organization. But what does service health monitoring look like from the perspective of a user? Today, understanding your end users’ experience is a key component of ensuring your website or application is functioning correctly. Having a website that is performing well regardless of location, load, or connection type is no longer a nice-to-have, but rather a requirement.

In collaboration with the AWS team, we have just launched another AWS integration, the X-ray data source. Combined with the CloudWatch and Timestream integrations, the AWS X-Ray data source simplifies monitoring and triaging with one Grafana console. The addition of the AWS X-ray data source reflects Grafana’s commitment to becoming a full observability platform that supports distributed tracing as well as metrics and logs.

According to Merriam-Webster, a mustache is 'the hair growing on the human lip' – so let's be clear that when referring to mustache pickers in this blog, we are not suggesting using tweezer-like tools to help you design hipster dashboards. Instead, we are talking about an awesome SquaredUp productivity feature called mustache picker that helps you get quick and effective results when using mustache template syntax within SquaredUp.

This article describes an end-to-end solution built with open source components InfluxDB and Grafana and the ogamma Visual Logger for OPC, to collect industrial process control data, analyze it in streaming mode, and visualize it in a dashboard.

Greetings! This is Eldin reporting from the Solutions Engineering team at Grafana Labs. In previous posts, you might have read about announcing ObservabilityCON or our release of Grafana 7.2. In this week’s post, I am introducing Dave Frankel, who will be covering our updated ServiceNow plugin. – Eldin In a previous post we announced the release of our Enterprise ServiceNow plugin. Our first release was focused around incident and change management based on the feedback we received.