Preventing Production Downtime with AI-Powered Observability
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Production downtime is one of the most frightening and expensive things that can happen to an organization. When it happens, developers need to sift through large amounts of data to find and resolve the issue, which can take time. What if you could significantly reduce that time?
Learn how AI can transform how developers troubleshoot microservices, leading to faster, more precise resolutions. Join Orr Weinstein, VP of Product at Lumigo, and Shreyas Subramanian, Principal Data Scientist at AWS, where they’ll explore how you can leverage cutting-edge AI to enhance observability and drastically reduce troubleshooting times.
You’ll learn how to:
Leverage Generative AI to speed data querying and resolve issues faster
Dive directly into the root cause of an issue with actionable responses to complex questions
Further reduce MTTR with the help of LLM
Gain valuable insights and practical demonstrations to improve troubleshooting and streamline observability, or learn more about how Lumigo AI and AWS Bedrock can enhance your development workflows.
Meet your hosts:
Orr Weinstein
Orr is VP of Product at Lumigo and has been building products for nearly two decades in various dev and product roles. Orr has formerly held leading Product roles at AWS, GCP, and Spot.io and was lead developer at the IDF and RAM Engineering.Orr holds a Master of Business Administration (M.B.A.) from The University of Chicago Booth School of Business and a Bachelor's Degree in Economics and Management from The Open University of Israel
Shreyas Subramanian
Shreyas is a Principal data scientist and three-time AI book author who helps customers solve their business challenges using AI/ML tools on AWS. Dr. Subramanian has a background in large-scale optimization and Machine Learning and in the use of Machine Learning and Reinforcement Learning for accelerating optimization tasks.
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