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

Move to next ILM phase Watcher

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

ACSC Advisory IOCs detection rules

ACSC Advisory IOCs detection rules for Elastic SIEM

Sigma Windows Process Creation detection rules

A collection of rules based on the Sigma rules for Windows (process creation folder) based on Winlogbeat data .

PI Hole Logstash Pipeline and Dashboard

A filter for Logstash parsing PI-Hole logs + Dashboard to visualize the data

These downloads could be also interesting for you

AWS Cloudtrail Monitoring dashboard

Deep insights into AWS Cloudtrail events for SIEM and Monitoring

Google Cloud monitoring dashboard

Dashboard to monitor GCP resources using different metrics and logs.

Filebeat Suricata Canvas dashboard

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

Threat detection Kibana dashboard

Kibana dashboard example visualizing the results of the Elastic SIEM detection engine

RUM extension dashboard

This dashboard provide deeper insight into the real user monitoring data collected by Elastic RUM.

Timetable canvas

This canvas examples shows timetable data from trains. Its build based on the real world information panel in german trian stations. Its refreshing based on current time.