There are several different methods for installing Promscale. This section describes installing from a pre-built Docker image. For alternative installation methods, see the Promscale GitHub repository.
If you have a Kubernetes cluster with Helm installed, you can use the observability suite for Kubernetes (tobs) to install a full metric collection and visualization solution including Prometheus, Grafana, Promscale, and a preview version of PromLens. To learn how to do this, watch our demo video. For more information about tobs, see the tobs GitHub repository.
If you want to migrate data from Prometheus into Promscale, you can use Prom-migrator, an open-source, universal Prometheus data migration tool that can move data from one remote-storage system to another.
docker network create --driver bridge promscale-timescaledb
docker run --name timescaledb -e \ POSTGRES_PASSWORD=<password> -d -p 5432:5432 \ --network promscale-timescaledb \ timescaledev/promscale-extension:latest-pg12 \ postgres -csynchronous_commit=off
docker run --name promscale -d -p 9201:9201 \ --network promscale-timescaledb timescale/promscale:<version-tag> \ -db-password=<password> -db-port=5432 -db-name=postgres \ -db-host=timescaledb -db-ssl-mode=allow
db-ssl-mode=allow, which is suitable for testing purposes. For production environments, use
You need to tell Prometheus to use the remote storage connector. By setting
read_recent it means that Prometheus queries data from Promscale
for all PromQL queries. You can do that by opening the
configuration file, and adding these lines:
remote_write: - url: "http://<connector-address>:9201/write" remote_read: - url: "http://<connector-address>:9201/read" read_recent: true
For more information about configuring Prometheus for Promscale, see the Promscale documentation.
You can configure the Promscale Connector using flags at the command prompt, environment variables, or a YAML configuration file. When processing commands, precedence is granted in this order:
All environment variables are prefixed with
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