Debugging Kubernetes Applications with GenAI and Machine Learning

Discover how to simplify Kubernetes application debugging using GenAI and machine learning in this 46-minute tech talk. Explore the challenges of log analysis in complex Kubernetes deployments and learn how unsupervised machine learning and GenAI can automate root cause analysis (RCA). Watch a live demo of ScienceLogic's Skylar AI solution, designed to streamline RCA for Kubernetes operators. Gain insights into the benefits of automated RCA, understand how Skylar AI works, and explore key use cases. The presentation includes a Q&A session covering deployment, compatibility, real-time capabilities, log segmentation, data storage, integration with coding notebooks, and the solution's scope within the technology stack. Learn how to leverage AI-powered tools to efficiently troubleshoot and maintain Kubernetes applications.

- 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