fl-aws VS aws-local

Compare fl-aws vs aws-local and see what are their differences.

aws-local

Run local equivalents of AWS with Docker (by mozey)
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fl-aws aws-local
1 1
15 3
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0.0 0.0
over 7 years ago over 2 years ago
Shell
Apache License 2.0 -
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fl-aws

Posts with mentions or reviews of fl-aws. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-18.
  • Ask HN: Does anyone else find the AWS Lambda developer experience poor?
    23 projects | news.ycombinator.com | 18 Apr 2021
    Living in my team's bubble i thought everyone runs or tries to run parallel environments: prod, staging, dev, but also an individual (person) or feature env. Why? Because there's no emulator or documentation that will teach you real behavior. Like others have said, AWS seems out of this world. Just like GCP and Azure i might add. Some things you don't expect and they mesmerize you how smart they are. Some you expect and you can't fathom how come you're the "only" one screaming. Random thought: this is how i ended up logging all I bumped into into "Fl-aws" https://github.com/andreineculau/fl-aws

    Back to the point: reality is that many build their AWS environment (prod) manually, maybe they duplicate once (dev) also manually, maybe they use some automation for their "code" (lambda) but that's it. This implies it's practically impossible to run end-to-end tests. You can't do that in prod for obvious reasons and you can't do it in dev either - you have many devs queueing, maybe dev is not in sync with prod etc.

    My team ran cloudformation end-to-end. We actually orchestrated and wrapped cloudformation (this is yet another topic for not using terraform etc) so that if smth couldn't be done in CFN, it would still be automated and reproducible. Long story short, in 30 minutes (it was this long because we had to wait for cloudfront etc) we had a new environment, ready to play with. A total sandbox. Every dev had their own and it was easy to deploy from a release artifact or a git branch to this environment. Similarly you could create a separate env for more elaborate changes to the architecture. And test in a live environment.

    Finally to your question: how do you test end-to-end?

    If we talk about lambdas because that's where the business logic lies in a "serverless" architecture, then the answer is by calling the system which will eventually call your lambda/s along the way. If your lambda ia sitting behind AWS gateway, then fire an http request. Is it triggered when objects land on S3? Then push some object to S3. How do you assert? Just the same - http response, S3 changes etc. Not to mention you can also check cloudwatch for specific log entries (though they are not instant).

    With this type of a setup, which sounds complex, but it is not since it is 100% reproducible (also from project to project - I had several), adding this proxy-to-my-dev-machine lambda would mean I can make local changes and then fire unit AND end-to-end tests without any changes pushed to AWS, which is the main time/energy consumer imo.

    PS: sorry for the wall of text. Like i said i recently realized that the development realities have huge discrepancies, so i tried to summarize my reality :)

aws-local

Posts with mentions or reviews of aws-local. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-18.

What are some alternatives?

When comparing fl-aws and aws-local you can also consider the following projects:

aws-lambda-runtime-interface-emulator

docker-lambda - Docker images and test runners that replicate the live AWS Lambda environment

serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo

sst - Build modern full-stack applications on AWS

serverless-application-model - The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.