Cloud elasticity is the ability of your cloud service to continually reallocate and redistribute resources to adapt to changing demands. With proper automation and strategy, you can increase your service’s computing power to better support your development. In this session, Jay Gordon, Microsoft Cloud Advocate and Dwitrisha Saha, Microsoft Student Ambassador, will deep dive into how to optimize your cloud service with the Microsoft Learn Module Scale your cloud resources with elasticity. They’ll describe common load patterns and how they drive the need to scale, they’ll discuss strategies and considerations in scaling cloud applications, show the importance of load balancing and provide methods to achieve it. Finally, they’ll also discuss the benefits of serverless computing and serverless functions.
This session is perfect for anyone interested in cloud management and wants to learn more about how to leverage cloud elasticity in their service.
Jay Gordon, Cloud Advocate, Microsoft Jay Gordon is a Cloud Advocate with the Microsoft Azure Advocates. He and the rest of the Advocacy team are focused on helping Developers and Ops teams get the most out of their cloud experience with Microsoft Azure. Prior to Microsoft, Jay was part of teams at DigitalOcean, BuzzFeed and MongoDB. Community is critical in his core beliefs, this is why Jay is an organizer for devopsdays NYC. Jay lives in New York City with his wife Betsy. https://devblogs.microsoft.com/devops/author/jagordmicrosoft-com/
Dwitrisha Saha, Microsoft Learn Student Ambassador Dwitrisha is a sophomore at Manipal Institute of Technology pursuing her B.Tech in Information Technology with biomedical electives. She is currently part of her University’s Augmented Reality project - Vision and has a keen interest in AI in Cloud Computing. She also takes an interest in research in the Healthcare sphere and how AI can positively impact the healthcare systems around the world.