Analyzing Execution and Deployment Logs for Performance Insights

Understanding the operational health and efficiency of your AI solutions in SAP AI Launchpad critically depends on insightful log analysis. Logs serve as the granular record of every action, decision, and outcome within your AI workflows, offering a diagnostic window far beyond aggregated metrics. They provide the necessary detail to pinpoint performance bottlenecks, diagnose errors, and validate the expected behavior of your models and deployments.

SAP AI Launchpad provides distinct categories of logs, primarily execution logs and deployment logs, each serving a unique purpose in the AI lifecycle. Execution logs chronicle the lifecycle of training jobs, batch inference tasks, or any other executable run within a scenario. In contrast, deployment logs capture the real-time activity and health of your deployed AI models, particularly crucial for online inference services.