Join us for an insightful webinar as we explore strategies for optimizing AWS Lambda performance. In this session, Yan Cui, AWS Serverless Hero, and Aviad Mor, Co-founder and CTO of Lumigo, will discuss three approaches that can significantly enhance the efficiency and scalability of your serverless applications.
Discover how to streamline your AWS Lambda functions to achieve better performance, reduce latency, and minimize costs. We’ll share practical tips and best practices gleaned from real-world experiences, empowering you to maximize the potential of serverless computing on AWS.
Key Topics:
Function Configuration: Learn how to fine-tune AWS Lambda settings for optimal performance, including memory allocation, timeout configurations, and concurrency settings.
Code Optimization Techniques: Explore effective coding practices and performance optimizations to boost the efficiency of your Lambda functions, including minimizing dependencies, leveraging caching mechanisms, and optimizing cold start times.
Monitoring and Debugging: Gain insights into monitoring techniques to identify performance bottlenecks, troubleshoot issues, and ensure the smooth operation of your serverless applications on AWS Lambda.
Don't miss this opportunity to elevate your AWS Lambda performance and drive greater value from your serverless architecture. Register now to secure your spot in this informative webinar!
Meet your host:
Aviad Mor
Aviad Mor is the Co-Founder & CTO at Lumigo. Lumigo’s SaaS platform helps companies monitor and troubleshoot serverless applications while providing actionable insights that prevent business disruptions. Aviad has over a decade of experience in technology leadership, heading the development of core products in Check Point from inception to wide adoption.
Yan Cui
Yan is an AWS Serverless Hero and a Lumigo Developer Advocate. He has been an architect and lead developer with a variety of industries ranging from investment banks, e-commerce to mobile gaming. He is also the author of Production-Ready Serverless and a co-author of F# Deep Dives.
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