Deploy · Self-managed
One container on a laptop or a server: the fastest path to a first try.
Developers and DevOps evaluating on a workstation or a single host, and small non-production deployments. For clusters, prefer Kubernetes.
Pull the product image at the version you want to run.
docker pull <xplg-image>:<version>Publish the console port, mount a volume for data and pass the license key as an environment variable.
docker run -d --name xplg-node \
-p <console-port>:<console-port> \
-v xplg-data:<data-path> \
-e XPLG_LICENSE_KEY=<your-key> \
<xplg-image>:<version>Follow the logs until the node reports that it is listening.
docker logs -f xplg-nodeOpen the console on the published port. Complete the first-run screen, then register the deployment in your workspace so it can be licensed and tracked.
http://localhost:<console-port>