Description

Following the acquisition of StackState, SUSE now has access to a powerful observability solution with built-in guided remediation. We've run initial tests on enhancing this experience by automating troubleshooting steps and exploring how AI can further improve the process. Now, we want to take it to the next level by exploring new ways to automate the detection, diagnosis, and remediation of performance and health issues in our systems, and to understand how AI can enhance this workflow.

Goals

• Develop innovative methods to automate the troubleshooting of system performance and health issues.
• Explore optional AI-driven enhancements that can augment the guided remediation process, making troubleshooting faster, smarter, and more efficient.
• Test these ideas using StackState as the base observability platform and Rancher Prime to support container workloads.

Resources

Access to the StackState platform: StackState Demo SUSE and StackState teams for support and collaboration

Why Join?

This project offers a great opportunity to experiment with the latest in observability technology, guided remediation, and AI. You’ll be part of a forward-thinking initiative, helping shape how SUSE integrates AI with automated troubleshooting, making a real impact on future products and solutions.