Prometheus provides JMX exporter which can export JVM information.
- Create JMX exporter configuration. Let's call it
jmx_exporter_config.yml.
---
rules:
- pattern: "java.lang.*"
2. Download JMX exporter
You can find the URL of JMX exporter jar file in Github repository.
https://github.com/prometheus/jmx_exporter
Here is the URL for 0.16.1
3. Start your Java application
For example, your application is packaged as a jar file myapp_1.jar. jmx_prometheus_javaagent-0.16.1.jar and jmx_exporter_config.yml are saved in /app. We expose port 8080 to export metrics.
java -javaagent:/app/jmx_prometheus_javaagent-0.16.1.jar=8080:/app/jmx_exporter_config.yml -jar myapp_1.jar
4. Download Prometheus
You can find the URL of Prometheus in its official site.
https://prometheus.io/download/
Here is the URL of 2.33.0 (MacOS).
5. Unzip Prometheus
After it is downloaded, unzip it and go to its directory.
tar xvfz prometheus-*.tar.gz
cd prometheus-*
6. Update prometheus configuration
Add the following to the prometheus.yml (under scrape_configs). We adds label to help querying.
- job_name: "apps"
static_configs:
- targets: ["localhost:8080"]
labels:
instance: 'myapp_1'
The whole file should look like this.
# my global config
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: "prometheus"
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ["localhost:9090"]
- job_name: "apps"
static_configs:
- targets: ["localhost:8080"]
labels:
instance: 'myapp_1'
7. Start Prometheus
./prometheus --config.file=prometheus.yml
8. Query JVM information
Query jvm_memory_bytes_used{area="heap",instance="myapp_1"}
Here is the query result.
Or you prefer a graph (You may need to refresh the browser if you want to see the latest data)
Here are other metrics you can try.
jvm_gc_collection_seconds_countjvm_gc_collection_seconds_sumjvm_memory_bytes_used-jvm_memory_bytes_committedjvm_memory_bytes_maxjvm_memory_bytes_initprocess_cpu_seconds_total
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