Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
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Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, the world’s largest independent robo-advisor based in NYC which manages over $8B in assets. Mackenzie was a founding engineer and Head of Technical Operations at Oscar Health, an insurance startup also based in NYC, helping to grow the company to over 400+ employees.
With IT infrastructures consistently churning out record amounts of new data, ITOps teams are often challenged to manage and analyze with traditional tools. A new approach is needed to help IT shift from reactive to proactive management of incident resolution to boost application availability, save time to detect and resolve the most critical issues and, lower costs.
Join this virtual, hands-on workshop comprising of live presentations and interactive labs, to learn how you can leverage a fully managed AIOps solution from AWS to detect, diagnose and remedy anomalous application behavior in your infrastructure.
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You will learn how to:
• Proactively monitor and optimize your infrastructure for performance bottlenecks and operational issues
• Easily detect and resolve the most critical issues with ML-powered insights
• Reduce time-to-resolve operational issues from days to minutes
DevOps Engineers, Site Reliability Engineers, Developers, IT Operators, and Database admins interested in learning about AWS Artificial Intelligence (AI) IT Operations (Ops) solutions and how to improve the availability of applications. It doesn't matter if you work at a small startup or a large, enterprise organization, this event is designed to help you leverage AIOps to identify operational issues long before they impact your customers. No prior cloud computing or ML experience is required!
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