JVM

Monitor Java Virtual Machine heap usage, garbage collection pauses, thread counts, and class loading for any JVM-based application.

Key Metrics

Metric	Description
jvm_memory_used_bytes	Heap and non-heap memory in use
jvm_gc_collection_seconds_sum	Cumulative GC pause time
jvm_threads_live	Live thread count
jvm_classes_loaded	Currently loaded class count
jvm_memory_pool_bytes_used	Usage per memory pool
process_cpu_usage	Process CPU usage (0–1)

Prerequisites

• JVM application (Java, Kotlin, Scala, etc.)
• jmx_exporter or a Prometheus client library in your application

Configuration

Option A — jmx_exporter (Java agent)

Download jmx_exporter and add it as a Java agent:

java -javaagent:jmx_prometheus_javaagent-x.x.x.jar=9090:config.yaml \
     -jar your-app.jar

config.yaml (minimal):

rules:
  - pattern: ".*"

Prometheus scrape

scrape_configs:
  - job_name: jvm
    static_configs:
      - targets: ['localhost:9090']

remote_write:
  - url: https://<region>.xscalerlabs.com/api/v1/push
    headers:
      X-Scope-OrgID: <tenant-id>
    basic_auth:
      password: <api-token>

Option B — Grafana Alloy

prometheus.scrape "jvm" {
  targets    = [{"__address__" = "localhost:9090"}]
  forward_to = [prometheus.remote_write.xscaler.receiver]
}

prometheus.remote_write "xscaler" {
  endpoint {
    url = "https://<region>.xscalerlabs.com/api/v1/push"
    headers = { "X-Scope-OrgID" = "<tenant-id>" }
    basic_auth { password = "<api-token>" }
  }
}

Option C — OpenTelemetry Collector

receivers:
  jmx:
    jar_path: /opt/opentelemetry-jmx-metrics.jar
    endpoint: service:jmx:rmi:///jndi/rmi://localhost:9999/jmxrmi
    target_system: jvm
    collection_interval: 60s

exporters:
  prometheusremotewrite:
    endpoint: https://<region>.xscalerlabs.com/api/v1/push
    headers:
      Authorization: Bearer <api-token>
      X-Scope-OrgID: <tenant-id>

service:
  pipelines:
    metrics:
      receivers: [jmx]
      exporters: [prometheusremotewrite]

Logs

Collect JVM garbage collection log and application log. Add the following to your Alloy config:

local.file_match "jvm_logs" {
  path_targets = [{
    __address__ = "localhost",
    __path__    = "/var/log/jvm/*.log",
    instance    = constants.hostname,
    job         = "integrations/jvm",
  }]
}

loki.source.file "jvm_logs" {
  targets    = local.file_match.jvm_logs.targets
  forward_to = [loki.write.xscaler.receiver]
}

loki.write "xscaler" {
  endpoint {
    url = "https://euw1-01.l.xscalerlabs.com/api/v1/logs/push"

    http_client_config {
      authorization {
        type        = "Bearer"
        credentials = env("XSCALER_TOKEN")
      }
    }

    headers = { "X-Scope-OrgID" = env("XSCALER_TENANT_ID") }
  }
}