To deploy the C3 AI Reliability application, ensure the following prerequisites are met:Documentation Index
Fetch the complete documentation index at: https://devdocs-shaunak-branch.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- Access to a C3 AI Cluster
- Availability of the Reliability artifact
- Permission to create environments and deploy applications
- Relevant data (sample or production telemetry)
System requirements
Make sure you’re using the correct server and package versions before beginning setup:| Component | Version |
|---|---|
| Server Version | 8.7.4+77 |
| Package Version | 19.0.1-rc.47+47.8.7.4.77.a0d5f899f3235fb89c307ae83bd9a657339c0322.release.uid.2eb98e69 |
Verify artifacts and set up environment
Before deploying, you must confirm the availability of thereliability artifact and provision your environment.
Step 1: verify Reliability artifact
- Open AI Studio.
- Go to the Releases tab.
- Click on Artifacts.
- Search for
reliabilityby entering it in the Name field. - Confirm that the artifact version matches the required version.
Step 2: create environment and deploy application
- In AI Studio, create a Shared Environment.
- Deploy an application using the existing
reliabilitypackage.- Select the correct Package Version.
- Under Advanced Options, choose Test Mode (unless instructed otherwise).
- Set compute power to Medium:
- 1 Leader node with 4 CPUs
- 5 Task nodes with 8 CPUs each
Step 3: verify node status in console
Once the application status showsRunning, open the Console and run:
Permissions
To create environments and deploy the application, you need at least theStudioUser role.Contact your cluster administrator if you need access. For more details, refer to Assigning Roles.