Moto
serverless-application-model
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Moto | serverless-application-model | |
---|---|---|
32 | 98 | |
7,339 | 9,219 | |
1.4% | 0.3% | |
9.9 | 8.9 | |
6 days ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
Moto
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OpenTF Announces Fork of Terraform
> OpenMoto
I dunno if you're trying to play on "hashimoto" but https://github.com/getmoto/moto#readme would be a prime name collision for any such "OpenMoto" name
But yes, please, to adopting Vault. I don't have a horse in the race about Consul but my suspicion is such an effort would only be worthwhile if trying to adopt Nomad, too, which I gravely doubt
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What is the development enviroment for AWS?
If using Python use Moto to mock AWS Services
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Guide to AWS Serverless & Lambda Testing Best Practices — Part 1
The Pythonic motto library mocks AWS services, removing the need to deploy your application or pay for API calls against AWS services. Other programming languages have their motto implementation.
- Final FLiP Stack Weekly of 2022
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Do unit tests make sense here?
To add on to the integration tests point, for mocking out your AWS resources you should check out moto if you don't want run your test against real AWS resources as they may cost you and is usually slower.
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Do some developers actually, REALLY, have no local environment and run everything in AWS? Is the individual cloud dev environment a real alternative to having things running locally?
You should be able to unit test your application on any device. (I use moto to help there.) And then when you want to ensure that you've given your lambda the right security groups or whatever, you deploy to a real but non-production lambda, and that deployment can be from anywhere.
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Getting started with testing DynamoDB code in Python
The Python package moto bundles mocks for many AWS services, including DynamoDB. The DynamoDB mock behaves mainly like the service - we can create tables, add data, query data, remove data, and much more. Not all features are supported, though - the documentation lists the available API calls. We can use this in combination with pytest to create a simple test setup.
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Mocking AWS Dynamo Db calls during testing
moto is an amazing library to mock any AWS Dynamo DB based calls. You can check out the development on their GitHub page.
- How to handle cloud resources in your application while running localhost
- Localstack – Local AWS Emulator
serverless-application-model
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Simple and Cost-Effective Testing Using Functions
The complete solution with SAM is available here.
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Deploying a Serverless Dash App with AWS SAM and Lambda
There are many options to deploy Serverless Applications in AWS and one of them is SAM, the Serverless Application Model. I chose to use it here, because it doesn't add too many layers of abstraction between what's being deployed and the code we write and our infrastructure is quite simple.
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Serverless Apache Zeppelin on AWS
The solution uses AWS SAM with the global configuration for Lambda functions and the public API you can use to access Apache Zeppelin. The stack deployment provides the URL as an output value.
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Serverless Site Health Check Notification System
I'm a big fan of using an Infrastructure as Code (IaC) approach for any project. My go to tools for this are the Servlerless Application Model (SAM) and it's associated CLI (SAM CLI). For more official use cases and for cross platform apps I typically use Terraform.
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
AWS SAM
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API Gateway, Lambda, DynamoDB and Rust
Kicking off the tour and not starting a war, but I'm going to be using the Serverless Application Model.
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Consuming an SQS Event with Lambda and Rust
The diagram here is super simple. I'm going to write something a little later that shows how this code could fit into a bigger workflow, but for now, I'm keeping it basic. And yes, that's the SAM Squirrel in there.
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AWS Data Engineer Associate Certification - Coming Soon
Interestingly, AWS CDK and SAM are both explicitly mentioned. While CDK broadly addresses Infrastructure as Code, SAM is highlighted for its role in developing serverless data pipelines - a hugely underrated concept.
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A Beginner's Guide to the Serverless Application Model (SAM)
Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
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SpringBoot Serverless REST API - ApiGateway+Lambda, deployed using AWS SAM
https://aws.amazon.com/lambda/ https://aws.amazon.com/api-gateway/ https://aws.amazon.com/serverless/sam/ https://aws.amazon.com/cloudformation/ https://aws.amazon.com/s3/ https://spring.io/projects/spring-boot https://start.spring.io
What are some alternatives?
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
aws-elastic-beanstalk-cli - The EB CLI is a command line interface for Elastic Beanstalk that provides interactive commands that simplify creating, updating and monitoring environments from a local repository.
aws-sdk-go - AWS SDK for the Go programming language.
aws-cdk-local - Thin wrapper script for using the AWS CDK CLI with LocalStack
VCR.py - Automatically mock your HTTP interactions to simplify and speed up testing
responses - A utility for mocking out the Python Requests library.
freezegun - Let your Python tests travel through time
Mocket - a socket mock framework - for all kinds of socket animals, web-clients included
betamax - A VCR imitation designed only for python-requests.
mock - The Python mock library
httpretty - Intercept HTTP requests at the Python socket level. Fakes the whole socket module