Yesterday, our team members Ryan Ashburn, Franklin Haubrich, and Patrick Casey attended a Lunch and Learn at the AWS Office in Sydney, exploring how Grafana Cloud is integrating AI and ML to make observability smarter and more efficient.
The event showcased the new Grafana Assistant, a context-aware chatbot built directly into Grafana Cloud, along with practical demos of how AI can streamline incident response, forecasting, and root cause analysis with Asserts.
Key takeaways:
- AI/ML primer: Understanding the differences and how they improve workflows
- Machine learning for forecasting and capacity planning
- Reducing engineering toil with automation
- AI-assisted incident management using Grafana Sift
- Accelerated root cause analysis with Asserts
Thanks to the teams at Grafana Labs and Amazon Web Services (AWS) for hosting such a valuable and engaging session. We’re looking forward to putting these learnings into practice
