cfn-diagram
aws-auto-cleanup
cfn-diagram | aws-auto-cleanup | |
---|---|---|
6 | 5 | |
62 | 494 | |
- | 0.8% | |
5.1 | 0.0 | |
about 2 months ago | over 1 year ago | |
JavaScript | Python | |
- | MIT License |
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.
cfn-diagram
- AWS Architecture Diagram tool recommendations
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Create AWS Architectures diagram-based
What do you think, is it worth writing a patch for cfn-diagrams to create these links automatically?
- Looking for experience & recommendations of visualisation tools
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One week at globaldatanet as AWS Cloud Engineer - David Edition
{ "week": [ { "Id": "16", "AWS-Services": [ "AWS CloudFormation", "AWS CloudTrail", "AWS Config", "Amazon CloudFront", "AWS Cost Explorer", "AWS Lambda", "AWS Key Management Service", "Amazon Athena" ], "Languages": [ "Python", "nodejs", ], "Tools": [ { "name": "ORGTOOL", "github": "https://github.com/daknhh/aws-orgtool" }, { "name": "cfn-python-lint", "github": "https://github.com/aws-cloudformation/cfn-python-lint" }, { "name": "cfn-diagram", "github": "https://github.com/mhlabs/cfn-diagram" }, { "name": "Taskfile", "github": "https://github.com/Wildhoney/Taskfile" } ], } ] }
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AWS open source news and updates No.41
cfn-diagram how many times have you wished you could take your CloudFormation YAML or JSON and then visualise it? When this open source tool provides a CLI as well as integration into tools like VSCode that help visualise CloudFormation templates as draw.io diagrams. Very nice Lars Jacobsson and the MatHem tech team. There is also the experimental cfn-diagram-ci which you can have a look at as well.
aws-auto-cleanup
- AWS Auto Cleanup
- Programmatically delete AWS resources based on allowlist and (TTL)
- servian/aws-auto-cleanup: Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings
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Show HN: AWS Auto Cleanup – Automatically cleanup your AWS account
I launched AWS Auto Cleanup (https://github.com/servian/aws-auto-cleanup) in April 2019. The goal of the project was to create a tool that would delete unused or abandoned AWS resources.
Each supported resource has a maximum time-to-live (TTL) which can be extended by allowlisting your resources in a simple web UI.
I've been slowly added support for more commonly used/expensive AWS resources over time.
Feedback, comments, suggestions and more always welcome.
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AWS open source news and updates No.41
aws-auto-cleanup an open source application from Servian to programmatically clean your AWS resources based on a whitelist and time to live (TTL) settings. Auto Cleanup is comprised of three modules, APP, API, and WEB. Click through to learn more and follow the steps to deploy the modules to your environment.
What are some alternatives?
determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
ActionServerless - Use GitHub Actions to create a Serverless service.
cdk-appsync-project - Projen managed AppSync Transformer project
aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.
aws-robomaker-sample-application-meirorunner - This sample application can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics
cdk-dia - Automated diagrams of CDK provisioned infrastructure
paco - Paco: Prescribed automation for cloud orchestration
Taskfile - :package: Yet another attempt at a simple task runner for npm with parallelisation support using bash commands via YAML.
aws-lambda-scheduler - aws-lambda-scheduler is EventBridge Rule manager that lets you call any existing AWS Lambda Function you have in a set future time with pre-set parameters. Allows more rule creation than AWS limit.
booster - Software development framework specialized in building highly scalable microservices with CQRS and Event-Sourcing. It uses the semantics of the code to build a fully working GraphQL API that supports real-time subscriptions.