Custom Metrics

Collect custom Prometheus metrics, StatsD metrics, and JMX metrics to increase visibility

Why custom metrics?

Custom metrics are critically important when it comes to understanding both infrastructure performance and business outcomes. With the explosion of microservices, organizations need a way to collect, store, correlate, and analyze custom metrics that are unique to your infrastructure and applications. The most prominent sources of custom metrics are Prometheus, JMX, and statsd. With easy custom metric collection, Sysdig Monitor provides you the ability to see everything in context and query all your metrics for faster, unified analysis.

LogDNA

“Sysdig is our go-to metrics provider for Kubernetes, there is no better choice than Sysdig to meet our monitoring and security needs.”

– Ryan Staatz, Systems Architect, LogDNA

Custom Metrics Use Cases

Prometheus Metric Collection

Collect, store, and query Prometheus metrics and labels. A lightweight Prometheus server is directly embedded into the Sysdig agent to facilitate metric collection.

Prometheus Metric Collection

Discover and retrieve JMX metrics from your Java virtual machines using the JMX protocol. Virtual machines will be polled to collect metrics like Heap Memory and Garbage collector.

JMX Metric Collection

Collecting StatsD metrics is easy with an embedded StatsD collector. Point your library at our agent and see all your metrics in the context that is most helpful for you.

StatsD Metric Collection

Use the powerful Prometheus Query Language (PromQL) across all your metrics no matter the source or use an intuitive, form-based approach for simple queries.

PromQL queries
Prometheus Metric Collection
JMX Metric Collection
StatsD Metric Collection
PromQL queries

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