AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced. (by alexcasalboni)

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aws-lambda-power-tuning reviews and mentions

Posts with mentions or reviews of aws-lambda-power-tuning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-31.
  • Tips to avoid surprises in your AWS bill
    6 projects | | 31 Oct 2022
    Optimise the memory settings for functions that use provisioned concurrency and adjust memory allocation for a function by using a tool like this to avoid guesswork.
  • Modern hardware is fast, so let's choose the slowest language to balance it out
    3 projects | | 19 Sep 2022
    Adding to this, increasing lambda size can actually reduce your spend on lambda depending on what you're actually running. And there's a tool to figure out what's optimal.
  • Optimize your workloads for Sustainability
    3 projects | | 2 May 2022
    Use tools like AWS lambda power tuning, and AWS Compute Optimizer to right-size your resources. In addition, you should use Auto Scaling to automatically scale up and down based on demand. To improve the overall resource efficiency and reduce idle capacity in the entire Cloud AWS, use Amazon EC2 Spot Instances. Spot Instances are unused EC2 capacity in AWS, this instance also gives you up to a 90% discount compared to On-Demand prices. If you are using EKS you should follow the EKS Best Practices Guides - especially the Auto Scaling guide to improve the utilization of your nodes. Moreover, you should generally adopt a serverless, event-driven architecture to maximize overall resource utilization.
  • 8 best practices for optimizing Lambda functions
    2 projects | | 18 Apr 2022
    AWS Lambda Power Tuning is a state machine powered by AWS Step Functions that helps you optimize your Lambda functions for cost and/or performance in a data-driven way. Basically, you can provide a Lambda function ARN as input and the state machine will invoke that function with multiple power configurations (from 128MB to 10GB, you decide which values). Then it will analyze all the execution logs and suggest you the best power configuration to minimize cost and/or maximize performance.
  • Lamba vs Step Functions: The Battle of Cost and Performance
    3 projects | | 6 Apr 2022
    Each Lambda has gone through aws-lambda-power-tuning by Alex Casalboni optimized for performance.
  • How to Use Source Maps in TypeScript Lambda Functions (with Benchmarks)
    11 projects | | 24 Jan 2022
    I used autocannon to test the function at 100 concurrent executions for 30 seconds. I also used Lambda Power Tuning to find the ideal memory configuration, which proved to be 512MB. All the results are available.
  • 6 importantes bibliotecas para AWS Serverless TypeScript
    5 projects | | 21 Feb 2021
  • Serverless Proxy with AWS API Gateway and AWS Lambda
    2 projects | | 11 Jan 2021
    the well know AWS Lambda Power Tuning
  • A note from our sponsor - Sonar | 28 Nov 2022
    Sonar helps you commit clean code every time. With over 300 unique rules to find JavaScript bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work. Learn more →


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