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Analyze Account-level Performance

The Monitoring module in AI for Process tracks events, actions, and changes across your account and linked users. It provides visibility into activities for modules such as roles, integrations, models, workflows, users, datasets, guardrails, and playground. The monitoring system helps maintain your AI for Process account’s security, compliance, and operational efficiency.

Best Practices

  • Regularly review audit logs, performance metrics for workflows and models, and model run analytics for security and compliance.
  • Use filters to focus on specific events or users.
  • Utilize time-based filtering for targeted analysis.
Monitoring supports the following features:
  1. Audit Logs: From logins to model deployments, the enhanced Audit Logs dashboard ensures you stay secure and compliant with detailed, time-stamped logs. Learn more.
  2. Workflow Analytics Dashboard: Empowers admins to make informed decisions on workflows deployed in their account, and ensure their peak performance by analyzing real-time performance metrics. Learn more.
  3. Model Analytics Dashboard: Enables account owners to track the performance of models deployed in their account . Learn more.
  4. Model Traces: Displays run-level performance metrics and metadata for models deployed in your account. Learn more.
  5. Custom Scripts: Enables admins to track the scripts deployed internally and externally on the AI for Process at the run and logs levels. Default and Korelogger-based enhanced logging helps debug and troubleshoot script issues efficiently. Learn more.