aws-lambda-power-tuning
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aws-lambda-power-tuning | esbuild | |
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36 | 322 | |
5,134 | 37,249 | |
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8.7 | 9.5 | |
9 days ago | 10 days ago | |
JavaScript | Go | |
Apache License 2.0 | MIT License |
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aws-lambda-power-tuning
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Optimizing Costs in the Cloud: Embracing a FinOps Mindset
Sometimes, changing services, like opting for HTTP over REST API Gateway, leveraging tools like Lambda Powertuning to optimize functions, or reducing a CloudWatch log retention and changing log level, can lead to significant savings.
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AWS SnapStart - Part 13 Measuring warm starts with Java 21 using different Lambda memory settings
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.
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How to enhance your Lambda function performance with memory configuration?
The aws lambda power tuning tool helps optimise the Lambda performance and cost in a data-driven manner. Let's try it out:
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Controlling Cloud Costs: Strategies for keeping on top of your AWS cloud spend
For Lambda, a very useful tool to help optimise is the AWS Lambda Power Tuning tool, released by Alex Casalboni, Developer Advocate at AWS: https://github.com/alexcasalboni/aws-lambda-power-tuning
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Best way to decrease latency (API <-> Lambda <-> Dynamodb)
Lambda memory affects not only the CPU performance and and host execution priority, but also network performance. Be wary though as the price scales linearly. You can use a tool like Lambda Power Tuning to find the sweet spot for your application. https://github.com/alexcasalboni/aws-lambda-power-tuning
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How to optimize your lambda functions with AWS Lambda power tuning
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.
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Developers Journey to AWS Lambda
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.
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Guide to Serverless & Lambda Testing — Part 2 — Testing Pyramid
Utilizing tools such as AWS X-Ray, AWS Lambda Power Tuning, and AWS Lambda Powertools tracer utility is recommended. Read more about it here.
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Tunea tus funciones Lambda
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
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AWS Serverless Production Readiness Checklist
Use AWS Lambda Power Tuning to balance cost and performance.
esbuild
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Use Notion as your CMS along with Next.js
During my search for deploying Lambdas via GitHub actions, I came across a tutorial that utilized ncc for converting TypeScript and bundling. While ncc is effective, I discovered esbuild, which proved to be significantly faster and perfectly suited to my requirements.
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⏰ It’s time to talk about Import Map, Micro Frontend, and Nx Monorepo
The advent of esbuild, the native support for ES Modules in browsers, the widespread adoption of import map, the emergence of tools like Native Federation, and the Nx ecosystem all combine to forge a flexible and well-maintained Micro Frontend Architecture.
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JS Toolbox 2024: Bundlers and Test Frameworks
EsBuild is a relatively new, blazing-fast JavaScript bundler and minifier. It stands out for its high performance, significantly speeding up the build process in development pipelines.
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Build a Vite 5 backend integration with Flask
Unlike Webpack, the Vite DevServer only compiles files when they are requested. It leverages ES module imports, which allow JS files to import other files without needing to bundle them together during development. When one file changes, only that file needs to be re-compiled, and the rest can remain unchanged. Project files are compiled with Rollup.js. Third-party dependencies in node_modules are pre-compiled using the ultra-fast esbuild bundler for maximum speed, and they are cached until the dependency version changes. Vite also provides a client script for hot module reloading.
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SSR React in Go
Use esbuild to build the React code into a form executable on both the server and client sides.
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Effortless Function as a Service: A Simple Guide to Implementing it with Query
The functions will bundle using esbuild. For that, it is required to install esbuild globally:
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How to run TypeScript natively in Node.js with TSX
TSX is the newest and most improved version of our ts-node, using ESBuild to transpile TS files to JS very quickly. The most interesting part is that TSX was developed to be a complete replacement for Node, so you can actually use TSX as a TypeScript REPL, if you install it globally with npm i -g tsx, just run tsx in your terminal and you can write TSX natively. But what's even cooler is that you can load TSX for all TypeScript files using --loader tsx when you run your file. For example, let's say we have this file called index.ts:
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Quick Summary of Angular 17
esbuild plus Vite is out of developer preview and enabled by default, yielding 67%, 87%, 80% speed improvements for build time, hybrid build time and hybrid serve time respectively.
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In-Depth guide for TypeScript Library
Bundling with esbuild
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11 Ways to Optimize Your Website
Besides Webpack, there are many other popular web bundlers available, such as Parcel, Esbuild, Rollup, and more. They all have their own unique features and strengths, and you should make your decision based on the needs and requirements of your specific project. Please refer to their official websites for details.
What are some alternatives?
json-schema-to-ts - Infer TS types from JSON schemas 📝
swc - Rust-based platform for the Web
dynamodb-toolbox - A simple set of tools for working with Amazon DynamoDB and the DocumentClient
vite - Next generation frontend tooling. It's fast!
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
Rollup - Next-generation ES module bundler
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
webpack - A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.
aws-graviton-getting-started - Helping developers to use AWS Graviton2 and Graviton3 processors which power the 6th and 7th generation of Amazon EC2 instances (C6g[d], M6g[d], R6g[d], T4g, X2gd, C6gn, I4g, Im4gn, Is4gen, G5g, C7g[d][n], M7g[d], R7g[d]).
parcel - The zero configuration build tool for the web. 📦🚀
failure-lambda - Module for fault injection into AWS Lambda
terser - 🗜 JavaScript parser, mangler and compressor toolkit for ES6+