29:44
Session Date: April 22nd
When performance shifts and it’s unclear what changed, this session shows how to break it down using Foglight. It focuses on using Change Tracking and Comparison in Performance Investigator to align configuration, schema, execution plan, and system changes with performance timelines, correlate performance degradation to environmental or workload changes, and compare time periods to identify new, missing, or altered SQL, users, and activity. The result is a more direct, evidence-based root cause analysis approach that narrows investigation to what actually changed.
36:03
Session Date: February 25th
When a new database platform enters your environment, quickly understanding its behavior is critical. In this on-demand Skills 101 session, you’ll learn how Foglight supports onboarding new database technologies, analyzing performance metrics and workload patterns, configuring alarm templates and AI Alarms for clearer alerting, and using baselines to distinguish normal activity from real performance issues. Designed for teams supporting cloud, open-source, and modern data platforms, this session delivers practical, technical guidance to reduce guesswork and improve response time.