Modify the default values. Ensure you change the DPS_ADMIN_PASSWORD and SECRET_KEY to secure strings. Save and close the file. Step 3: Launch the Containers via Docker Compose
To achieve predictability, the team must embrace . A manual installation checklist—no matter how detailed—is a relic of fragile IT. For Project DPS, the demo install should be executed using infrastructure-as-code tools (such as Ansible, Terraform, or a simple Docker Compose script). The goal is a single command that, when run, provisions the entire stack: database schema, API endpoints, front-end assets, and sample data. Idempotency is the secret weapon: running the install script twice should produce the exact same state without errors. This guarantees that the team can reset the demo environment instantly between presentations, erasing any accidental data corruption or user interference. An automated install also demonstrates to stakeholders that Project DPS is not a bespoke artisanal product, but a robust system ready for handoff.
Since this is a “demo,” strict production security can be relaxed. However, ensure: project dps demo install
Some vendors ship pre-expired demo licenses. Always run:
Ensure your local user account belongs to the docker user group, or prepend sudo to your installation commands. Memory Exhaustion Modify the default values
After your evaluation, reclaim resources completely:
If the demo fails to launch, ensure port 8080 or 3000 isn't being used by another application. Step 3: Launch the Containers via Docker Compose
Have you tried a project dps demo install on Kubernetes instead of Docker? Share your experience in the comments below or contact our solutions engineering team for a Helm chart version.