Spring Boot & Micrometer Dashboard

A ready-to-use Kibana dashboard for monitoring Spring Boot applications via Micrometer.
This package includes the necessary index patterns, visualizations, and dashboards to track:

  • JVM Metrics: Memory usage, GC pauses, threads.
  • HTTP Requests: Throughput, latency, error rates.
  • System Metrics: CPU usage, file descriptors.

Contents: NDJSON files for Index Patterns, Visualizations, and the Dashboard itself.

Source: acroquest/micrometer-kibana-dashboard

Tested versions
ECS compliant

You must log in to submit a review.

Related downloads

Sigma Windows Process Creation detection rules

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

Vega Scatterplot Kibana visualization

A scatterplot visualization made with Vega Lite for Kibana

Spring Boot Micrometer Dashboard

Monitor Spring Boot applications using Micrometer metrics.

AWS Cloudtrail Monitoring dashboard

Deep insights into AWS Cloudtrail events for SIEM and Monitoring

Logstash REST to exec scripts

Make Logstash a REST endpoint that executes scripts or manually adds data in Elasticsearch.

Kubernetes architecture overview

Vega visualization to show the dependencies between the different Kubernetes components in a single visualization

These downloads could be also interesting for you

Filebeat Log analysis canvas example

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

Kibana alerting enhancement

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

Vega Clock UTC

This is a working clock visualization in UTC time.

Kubernetes architecture overview

Vega visualization to show the dependencies between the different Kubernetes components in a single visualization

Sankey visualization example

This is an example of how to build an sankey visualization using the vega visualization in Kibana.

PI Hole Logstash Pipeline and Dashboard

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