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LUNCH & LEARN

2023 Best Practices for Optimizing AWS Lambda for Performance & Cost

  • Tech Focus :
  • Location :
  • January 26, 2023
  • Event Date:
    January 26, 2023
  • 11AM PT / 2PM ET
Nikhil Gopinath

Nikhil Gopinath

VP of Engineering, ML Platforms

Sedai
Alex Sweetser

Alex Sweetser

Dir. of Tech Alliances

Sedai

Jose FisherFounder,
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Robert Mustaine CEO,
Uber

Jose FisherFounder,
Fig

2023 Best Practices for Optimizing AWS Lambda for Performance & Cost

WHY ATTEND

As we start the new year, we should take inventory of the innovations that rolled out with AWS in 2022 and trends to consider in planning operations for 2023. Recently at AWS re:Invent 2022, AWS Snapstart was introduced as a way to optimize AWS Lambda along with recent trends and considerations moving into this year.

Organizations and teams managing customer-facing applications with AWS Lambda have many factors and technologies to consider when optimizing these applications effectively for performance and cost. From memory to solving persistent challenges such as cold starts, achieving optimal performance with cost and time efficiency in mind can sometimes be challenging and overwhelming with resource constraints such as budget, talent and expertise.

In this Lunch & Learn, Sedai and AWS will take you through common performance challenges across memory and cold starts, and how we can virtually eliminate them effectively leveraging AWS tools and Sedai’s AI/ML-powered autonomous optimization and cloud management platform. Learn how to maximize the benefits of AWS Lambda for your applications, lower TCO and increase productivity as you scale and performance KPIs in 2023.

Register now to save your seat for free lunch will be on us with a $40 DoorDash gift card when qualified as a prospective customer.

Key takeaways:

  • Achieve continuous optimization for performance with Sedai’s AI/ML-powered autonomous cloud management platform
  • Eliminate 95%+ of cold starts at scale with minimal lift and cost efficiency
  • Autonomously optimize memory for AWS Lambda in real-time at scale across applicationsIncrease overall performance while keeping TCO at its lowest
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