aws-lambda-power-tuning VS aws-cdk

Compare aws-lambda-power-tuning vs aws-cdk and see what are their differences.

aws-lambda-power-tuning

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)

aws-cdk

The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code (by aws)
Our great sponsors
  • SurveyJS - Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
aws-lambda-power-tuning aws-cdk
35 261
5,071 11,059
- 1.4%
8.7 9.9
7 days ago 7 days ago
JavaScript TypeScript
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

aws-lambda-power-tuning

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 2024-01-15.
  • AWS SnapStart - Part 13 Measuring warm starts with Java 21 using different Lambda memory settings
    4 projects | dev.to | 15 Jan 2024
    In case of not enabling SnapStart for the Lambda function we observed that increasing memory reduces the warm execution time for our use case especially for p>90. As adding more memory to the Lambda function is also a cost factor, the sweet spot between cold and warm start time and cost is somewhere between 768 and 1204 MB memory setting for the Lambda function for our use case. You can use AWS Lambda Power Tuning for very nice visualisations.
  • How to optimize your lambda functions with AWS Lambda power tuning
    2 projects | dev.to | 13 Apr 2023
    This tool, which is open source and available here, takes the form of a Step Function that is deployed on your AWS account. The purpose of this Step Function is to run your lambda with different memory configurations several times and output a comparison in the form of a graph (or JSON) to try to find the optimal balance between cost and execution time. There are three possible optimization modes: cost, execution time, or a "balanced" mode where it tries to find a balance between the two.
  • Developers Journey to AWS Lambda
    4 projects | dev.to | 9 Apr 2023
    The AWS Documentation's Memory and Computing Power page is a good starting point. To avoid configuring it manually, it's worth checking out AWS Lambda Power Tuning, which will help you find the sweet spot.
  • Guide to Serverless & Lambda Testing β€” Part 2 β€” Testing Pyramid
    6 projects | dev.to | 13 Mar 2023
    Utilizing tools such as AWS X-Ray, AWS Lambda Power Tuning, and AWS Lambda Powertools tracer utility is recommended. Read more about it here.
  • Tunea tus funciones Lambda
    2 projects | dev.to | 10 Mar 2023
    Install the AWS SAM CLI in your local environment. Configure your AWS credentials (requires AWS CLI installed): $ aws configure Clone this git repository: $ git clone https://github.com/alexcasalboni/aws-lambda-power-tuning.git Build the Lambda layer and any other dependencies (Docker is required): $ cd ./aws-lambda-power-tuning $ sam build -u sam build -u will run SAM build using a Docker container image that provides an environment similar to that which your function would run in. SAM build in-turn looks at your AWS SAM template file for information about Lambda functions and layers in this project. Once the build has completed you should see output that states Build Succeeded. If not there will be error messages providing guidance on what went wrong. Deploy the application using the SAM deploy "guided" mode: $ sam deploy -g
  • AWS Serverless Production Readiness Checklist
    2 projects | dev.to | 21 Jan 2023
    Use AWS Lambda Power Tuning to balance cost and performance.
  • GPT-Powered chatbot over the phone - Try it, and see how it was built
    4 projects | dev.to | 22 Dec 2022
    Since it relies on an external API call, it does take a while to execute (1.285 seconds on average), which is very inefficient, and despite throwing Lambda Power Tuning at the problem, it's purely an external dependency issue, and can't be resolved by resources. You could make it more cost-effective using AWS Step Functions to handle the OpenAI API call asyncrhonously, but I didn't worry for this project.
  • Tips to avoid surprises in your AWS bill
    6 projects | dev.to | 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 | /r/ProgrammerHumor | 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. https://github.com/alexcasalboni/aws-lambda-power-tuning
  • Optimize your workloads for Sustainability
    3 projects | dev.to | 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.

aws-cdk

Posts with mentions or reviews of aws-cdk. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-21.

What are some alternatives?

When comparing aws-lambda-power-tuning and aws-cdk you can also consider the following projects:

sst - Build modern full-stack applications on AWS

aws-cdk-local - Thin wrapper script for using the AWS CDK CLI with LocalStack

middy - πŸ›΅ The stylish Node.js middleware engine for AWS Lambda πŸ›΅

ts-node - TypeScript execution and REPL for node.js

diy-sveltekit-cdk-adapter - An exercise on deploying SvelteKit with CDK

SvelteKit - web development, streamlined

terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform

cdk8s - Define Kubernetes native apps and abstractions using object-oriented programming

aws-lambda-rust-runtime - A Rust runtime for AWS Lambda

dagger - Application Delivery as Code that Runs Anywhere

terratest - Terratest is a Go library that makes it easier to write automated tests for your infrastructure code.

aws-cloudformation-coverage-roadmap - The AWS CloudFormation Public Coverage Roadmap