Resources for SVS311

Optimizing cost and performance for AWS Lambda-based workloads

Organizations are focused on improving the cost and performance efficiency of their cloud applications. When implementing cost optimization, application and platform teams want to know how to reduce compute cost without impacting performance. In this chalk talk, discover the latest strategies and best practices for ensuring your AWS Lambda-based applications remain cost-efficient and highly performant. Explore technical insights and lessons from real-world success stories using the latest optimization and tuning techniques.

Lambda Operator Guide

15 minute read

In this section of the AWS Lambda Operator's guide, you will dive deep into on Lambda lifecycle and optimization techniques for cost and performance.

Lambda Power Tuning tool

Open source tool

Practical tool powered by AWS Step Functions that helps you optimize your Lambda functions for cost and performance.

Serverless Cost Optimization workshop

Hands-on Workshop

In this workshop you will get hands-on experience running through several performance and cost optimization scenarios.

Migrating AWS Lambda functions to AWS Graviton2 processors

10 minute read

Functions using the Arm architecture benefit from the performance and security built into the Graviton2 processor, which is designed to deliver up to 19% better performance for compute-intensive workloads.

Lambda Event Filtering

10 minute read

You can use event filtering to control which records from a stream or queue Lambda sends to your function. For example, you can add a filter so that your function only processes Amazon SQS messages containing certain data parameters.

Direct Integrations

5 minute read

This section of Serverless Applications Lens of AWS Well Architected Framework talks about benefits of direct integrations.

Presented by:

Aneel Murari

Aneel Murari

Senior Specialist Solutions Architect at AWS

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Tomas Mihalyi

Tomas Mihalyi

Tomas Mihalyi is a Senior Serverless Specialist TAM (STAM) based out of Sydney, Australia. He supports one of largest enterprise customers in Asia & Pacific, when building and operating serverless applications at scale.