How do I deploy a Node.js function to AWS Lambda with Lambdaws?

Use the λ() function to cloudify inline or modular code, specifying dependencies and settings. It automates packaging and uploading, as shown in the inline calculator example, but requires AWS credentials and IAM roles setup first.

Lambdaws vs AWS Lambda CLI: which should I use?

Lambdaws automates more tasks like dependency packaging and SQS integration, but it's based on an old API. The AWS Lambda CLI is official, up-to-date, and recommended by Lambdaws maintainers for new projects, offering better long-term support.

Does Lambdaws support AWS Lambda layers?

No, Lambdaws was developed before Lambda layers existed, so it doesn't support this feature. It relies on its own dependency packaging method, which can include system libraries but not layer-based sharing.

Is Lambdaws still maintained or good for production?

The README strongly recommends using the AWS Lambda CLI instead, indicating Lambdaws is not actively maintained. It might work for legacy setups, but for production, modern tools like Serverless Framework or AWS SAM are safer choices.

How does Lambdaws handle large libraries like PhantomJS?

It downloads and installs system libraries from a custom repository (e.g., :phantomjs), packaging them into the deployment to stay within Lambda's size limits, as detailed in the 'Using large external libraries' section.

What are the performance overheads of using Lambdaws?

It adds minimal execution overhead but introduces SQS for result delivery, which can add ~150ms latency per function call if not using ignoreResponse. Additionally, the initial deployment and dependency resolution might slow down setup.

Open-Awesome

lambdaws

LGPL-3.0JavaScript

A Node.js library that simplifies deploying and running JavaScript functions on AWS Lambda with automatic dependency management.

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1.3k stars35 forks0 contributors

What is lambdaws?

Lambdaws is a Node.js library that simplifies deploying and running JavaScript functions on Amazon AWS Lambda. It automates the packaging, uploading, and execution of functions, including handling dependencies and retrieving results via SQS. The tool reduces the complexity of directly interacting with AWS Lambda's API, making serverless development more accessible.

Target Audience

JavaScript and Node.js developers building serverless applications on AWS Lambda who want to streamline deployment and execution workflows. It's particularly useful for those integrating existing libraries or functions into Lambda without extensive rewrites.

Value Proposition

Developers choose Lambdaws for its automation of tedious Lambda deployment tasks, real-time result delivery via SQS, and support for external system libraries. It offers a higher-level abstraction over the native AWS Lambda API, reducing boilerplate and accelerating development.

Overview

Deploy, run and get results from Amazon AWS Lambda in a breeze

Use Cases

Best For

Migrating existing Node.js libraries to AWS Lambda without code changes
Automating dependency packaging and deployment for Lambda functions
Building real-time serverless applications with SQS-based result delivery
Integrating large system libraries like PhantomJS into Lambda functions
Simplifying AWS Lambda usage for developers new to serverless architecture
Rapid prototyping of serverless functions with inline or modular JavaScript code

Not Ideal For

Projects requiring the latest AWS Lambda features like layers, custom runtimes, or enhanced monitoring
Teams minimizing AWS service dependencies who want to avoid SQS for result delivery
Organizations with strict security policies that prefer official, well-maintained AWS tooling
New serverless applications built today, given the maintainers' recommendation to use AWS Lambda CLI instead

Pros & Cons

Pros

Automated Dependency Packaging

Packages Node.js modules and system libraries automatically into deployment zips, handling dependencies without manual effort, as shown in the usage examples with external libraries like 'request'.

Smart Change Detection

Detects code changes and re-uploads functions only when necessary, optimizing deployment speed and reducing bandwidth usage during development iterations.

Real-time Results via SQS

Uses SQS long-polling to deliver execution results instantly, providing faster feedback than polling CloudWatch logs, which is integrated into the function instrumentation.

Large External Library Support

Can install system libraries like PhantomJS via a custom repository, overcoming Lambda's 30MB upload limit for complex dependencies, as demonstrated with the ':phantomjs' syntax.

Cons

Based on Deprecated API

Built on the first AWS Lambda API, so it lacks support for newer features and updates, making it obsolete for modern serverless workflows, as admitted in the README note.

SQS Dependency Overhead

Introduces an additional AWS service (SQS) for result handling, increasing cost, configuration complexity, and potential failure points compared to native Lambda integrations.

Complex IAM Setup

Requires precise IAM role configuration with specific permissions for SQS, Lambda, and logs, which can be error-prone and tedious for developers new to AWS.

Poor Documentation and Maintenance

CLI documentation is noted as 'needed,' and the library is not actively recommended by maintainers, indicating limited support and potential compatibility issues.

Frequently Asked Questions

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