Transcript

Hey everyone. My name's Jay and I lead our observability product here at Launchdarkly. Today we're introducing something that's going to change how developers debug, and it's called Vega. Vega is our AI observability agent that helps developers find signals, sift, and solve your application issues directly within launch Darkly. By combining observability data with advanced AI reasoning, Vega acts as an intelligent, context aware debugging companion built securely into your everyday workflow. Vega can be launched directly from logs, traces, errors and session replays within Launch Darkly, and when opened, it automatically gathers the surrounding context, including related spans, recent flag changes and correlated events to explain what happened and why. Let's say you're looking at a log line that shows a spike in 500 errors for the private graph service. The log viewer highlights this anomaly and you click investigate with Vega. If we ask Vega to investigate the incident, let's see what happens. First, Vega will automatically fetch the 30 seconds of metrics before and after this error, showing that the failures began immediately after a new feature flag redesign was enabled. Then Vega will look at logs and traces related to this log line and propose an RCA analysis for us. In future releases of Vega, we aim to allow you to connect your code repository to propose actual changes via PR's, and in addition, we want to make it easy for you to trigger Vega automatically on things like alerts and guarded releases. If you're ready to spend less time digging through logs and more time shipping with confidence, check out Vega. Head to launch darkly.com/earlyaccess to see how fast debugging can really be.