Integrations

This document is a getting started guide to using M3DB as remote storage for Prometheus. M3 Coordinator configuration To write to a remote M3DB cluster the simplest configuration is to run m3coordinator as a sidecar alongside Prometheus. Start by downloading the config template. Update the namespaces and the client section for a new cluster to match your cluster’s configuration. You’ll need to specify the static IPs or hostnames of your M3DB seed nodes, and the name and retention values of the namespace you set up.

This document is a getting started guide to using M3 Coordinator or both M3 Coordinator and M3 Aggregator roles to aggregate metrics for a compatible Prometheus remote write storage backend. What’s required is any Prometheus storage backend that supports the Prometheus Remote write protocol. Testing with docker compose To test out a full end-to-end example you can clone the M3 repository and use the corresponding guide for the M3 and Prometheus remote write stack docker compose development stack.

This document is a getting started guide to integrating the M3 stack with Graphite. Overview M3 supports ingesting Graphite metrics using the Carbon plaintext protocol. We also support a variety of aggregation and storage policies for the ingestion pathway (similar to storage-schemas.conf when using Graphite Carbon) that are documented below. Finally, on the query side, we support the majority of graphite query functions. Ingestion Setting up the M3 stack to ingest carbon metrics is straightforward.

M3 supports a variety of Grafana integrations. Prometheus / Graphite Sources M3Coordinator can function as a datasource for Prometheus as well as Graphite. See the Prometheus integration and Graphite integration documents respectively for more information. Pre-configured Prometheus Dashboards All M3 applications expose Prometheus metrics on port 7203 by default as described in the Prometheus integration guide, so if you’re already monitoring your M3 stack with Prometheus and Grafana you can use our pre-configured dashboards.

This document is a getting started guide to integrating InfluxDB data pipelines with M3. Writing metrics using InfluxDB line protocol To write metrics to M3 using the InfluxDB line protocol, simply form the request as you typically would line separated and POST the body to /api/v1/influxdb/write on the coordinator. Note that timestamp is in nanoseconds from Unix epoch. This example writes two metrics weather_temperature and weather_wind using the current time in nanoseconds as the timestamp: