Observability Kibana Dashboard

Description

The Observability Kibana Dashboard combines Metrics, Logs, APM data, uptime information and Business KPIs in one single dashboard. This is great to get a first high level view on all pillars of Observability.

Observability describes techniques in how to monitor modern IT applications and infrastructure. The basic concept is to bring all relevant information together in one plattform to be able to correlate the different data sources. The ability to see the performance impact of a lack of ressources in the underlaying infrastructure is crucuial to the success for any IT application.

In addition to that observability helps to improve the quality of your applications by beeing able to detect issues quicker and also find the root cause of any issue in near zero time. This Observability Kibana Dashboard is one great example of how powerful this combination can be.

Here you find more Elastic observability content for Kibana.

Requirements

The following data sources are neccessary to show data:

1.) Filebeat (+ Heartbeat) to show the overall log metrics like

  • Log Levels over time made with TSVB (Time series visual builder). This also includes outtages as annotations. To show outtages you also need to collect data from Heartbeat.
  • Log Rate per Service. This shows the logs that where created by each service.

2.) Metricbeat to show the overall infrastructure metrics. The visualizations are based on Kubernetes metrics. If you have Metricbeat, but no Kubernetes you need to change the Kibana visualization a bit.

  • For Kubernetes the visualizations show Memory and CPU usage.
  • For Redis the visualizations show high level metrics and connected clients.

3.) APM (Application Performance Management) data

  • APM Service Performance shows performance metrics per application.
  • APM Number of requests shows the requests each service has been made over time.

The other Kibana visualizations require some more customizations. Feel free to adapt this Kibana Dashboard example based on your needs,

Tested versions 7.x
ECS compliant

You must log in to submit a review.

Related downloads

Sigma Sysmon detection rules

A collection of rules based on the Sigma detection rules for Windows Sysmon events based on Winlogbeat data.

Filebeat Suricata Canvas dashboard

A Kibana Canvas dashboard example that visualizes suricata logs collected with Filebeat.

Kibana alerting enhancement

This bundle enhances the Kibana alerting experience. Storing all relevant information in indices and visualize the data in dashboards.

Resource Optimization Dashboard

Elastic Resource Optimization Dashboard to seamlessly integrate APM insights with cloud cost data for actionable resource management and cost-saving strategies

Watch for changes in IOWaits

A watch which alerts if the time spent by a hosts CPU in IOWait, has increased by more than than N% in the last Y mins.

Move to next ILM phase Watcher

This watcher job is moving specific indices based on e.g. disc usage into the next ILM phase.

These downloads could be also interesting for you

Resource Optimization Dashboard

Elastic Resource Optimization Dashboard to seamlessly integrate APM insights with cloud cost data for actionable resource management and cost-saving strategies

Kibana alerting enhancement

This bundle enhances the Kibana alerting experience. Storing all relevant information in indices and visualize the data in dashboards.

Filebeat Log analysis canvas example

This is a simple canvas dashboard example that analyzes logs created by Filebeat.

Elastic Cloud Billing data collection and Kibana dashboard

Pulls Elastic Cloud Billing information from the Billing API then sends it to an Elasticsearch cluster and visualizes the results in Kibana dashboards.

Watcher History Dashboard

This dashboard shows the history of executed watcher jobs.

Ask Me Anything Booth – Canvas Example

This is an example canvas page that shows how to visualize using canvas in general.