Debugging Kubernetes Applications with GenAI and Machine Learning

This talk introduces automated root cause analysis for Kubernetes applications, showing how unsupervised machine learning identifies diagnostic log lines and GenAI summarizes findings. It includes a live Skylar AI demonstration and discussion of deployment and use cases.

Syllabus

- Into
- What do you do when your K8s App breaks?
- Root Cause Analysis RCA
- Skylar Automated RCA for K8s Logs
- Live Demo Setup: Skylar AI
- Live Demo: Skylar Automated RCA UI
- How does Skylar AI work?
- Key use cases for Automated RCA
- Q&A: How is Skylar AI deployed?
- Q&A: Will Skylar AI work in ANY distributed system?
- Q&A: Is this real time RCA?
- Q&A: Can you segment logs & messages with Skylar AI?
- Q&A: Does Skylar AI store all log messages?
- Q&A: Can Skylar AI integrate with other coding notebooks?
- Q&A: How far down the Stack does Skylar AI work?
- Try Skylar AI for free!
- Upcoming Mirantis presentations
- Outro