fargate-cloudformation-example
LocalStack
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fargate-cloudformation-example | LocalStack | |
---|---|---|
7 | 154 | |
232 | 52,145 | |
0.4% | 1.3% | |
0.0 | 9.9 | |
almost 6 years ago | 4 days ago | |
Python | ||
Apache License 2.0 | GNU General Public License v3.0 or later |
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fargate-cloudformation-example
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Not be using AWS. Probably
I went from not knowing Docker to having a production capable ECS/Fargate microservice spun up within less than a week.
I based it on this CFT
https://github.com/1Strategy/fargate-cloudformation-example/...
And this walk through for C#
https://aws.amazon.com/blogs/compute/hosting-asp-net-core-ap...
- Best way to set up multiple dev 'environments' in ECS?
- How to get started with ECS/Fargate
- Options for deploying a .NET 6 API container, Nginx container, and ReactJS app to ECS/Fargate w/custom domain?
- If you want to get into the DevOps world ....
- What are your thoughts on serverless vs classic approaches to large distributed solutions?
- Aws Ecs Fargate/Ec2
LocalStack
- LocalStack – a functional local AWS cloud stack
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Let's build a screenshot API
Later you can use any S3 compatible storage because the code I write will still work, but for testing purposes on my local machine, I will use LocalStack:
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LocalStack e AWS CLI: Como desenvolver localmente com a AWS
Acesse o site da LocalStack e faça login.
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Cutting down AWS cost by $150k per year simply by shutting things off
To give this a slightly different spin:
--> "The best optimization is simply not spinning things up."
At least for local development and testing, as made possible by LocalStack (https://localstack.cloud), among other local testing solutions and emulators.
We've seen so many teams fall into the trap of "someone forgot to shut down dev resource X for a week and now we've racked up a $$$ bill on AWS".
What is everyone's strategy to avoid this kind of situation? Tools like `aws-nuke` (https://github.com/rebuy-de/aws-nuke) are awesome (!) to clean up unused resources, but frankly they should not be necessary in the first place.
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Getting Amazonka S3 to work with localstack
(For others who hadn't heard of it: localstack is
- LocalStack v3.0.0
- Localstack, a "AWS" local para desenvolvimento em cloud
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Integration tests with AWS S3 buckets using Localstack and Testcontainers
LocalStack Website
- LocalStack: A functional local AWS cloud stack
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Simulando a AWS no seu ambiente Local
O Localstack: https://localstack.cloud/, é um recurso que possibilita simular diversos recursos AWS (dynamoDB, s3, iam, cognito, ses), dentro da sua máquina, utilizando o docker.
What are some alternatives?
serverless-java-container - A Java wrapper to run Spring, Spring Boot, Jersey, and other apps inside AWS Lambda.
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
sst - Build modern full-stack applications on AWS
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
terragrunt - Terragrunt is a thin wrapper for Terraform that provides extra tools for working with multiple Terraform modules.
uptimepros-oss
OpenFaaS - OpenFaaS - Serverless Functions Made Simple
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
eks-anywhere - Run Amazon EKS on your own infrastructure 🚀
Appwrite - Build like a team of hundreds_
testcontainers-python - Testcontainers is a Python library that providing a friendly API to run Docker container. It is designed to create runtime environment to use during your automatic tests.