Author
Mano Toth
Senior Technical Writer
Spotlight now generates AI-powered summaries to complement its visual comparisons. Instead of manually interpreting charts and distributions, you can now use Spotlight to get clear, concise explanations of the key differences between selected and baseline data. This makes it easier to spot root causes, understand anomalies, and communicate findings to your team, without needing to pore over every visualization.
Why it matters
Spotlight already highlights the most significant differences between selected events and baseline data. But interpreting charts, distributions, and outliers still required careful manual review. With AI summaries, you get clear, human-readable explanations of what the data is telling you—saving time and reducing cognitive load when troubleshooting issues.
What’s new
- Automatic insights: AI-generated summaries explain key differences across fields without requiring you to interpret every visualization.
- Faster root cause analysis: Quickly see why traces are slower, errors spike, or performance degrades.
- Clearer communication: Summaries make it easy to share findings with teammates, bridging the gap between technical data and actionable insights.
Whether you’re tracking down anomalies, validating monitor health, or exploring unknown datasets, AI summaries make Spotlight a sharper tool for investigation.
Get started
Run Spotlight on any dataset and see the AI-generated summaries alongside your visualizations. Learn more in the blog and the documentation, and experience Spotlight directly in the Playground.