rocket-auth-aws-infrastructure
booster
rocket-auth-aws-infrastructure | booster | |
---|---|---|
1 | 8 | |
0 | 403 | |
- | 1.2% | |
10.0 | 8.9 | |
about 2 years ago | 20 days ago | |
TypeScript | TypeScript | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
rocket-auth-aws-infrastructure
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Booster authorization in a nutshell
Side note: We removed the Cognito dependency from Booster, but if you still want to use it, you can include the AWS Auth Rocket which provides the most common Cognito features out-of-the-box for Booster applications.
booster
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Railway Event Processor
⚠️The abstractions proposed in this paper will be soon implemented in booster, the algorithms proposed are proven correct in this repository. A solution to a real world problem with these abstractions will be soon shared.
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Multi Provider Booster Rockets
The Booster version 0.24.0 is capable of creating Multi Provider Rockets. Multi-provider Rockets could include implementations for different vendors in the same npm package.
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Booster authorization in a nutshell
Once again the standards to the rescue. Even if we were using JWT, Booster was tightly coupled to Cognito to verify the token and get the information associated with it. We decided to extract that part and use a standard token verification inside the Booster core, which works with the JWT tokens, no matter which provider you are using.
- Can anyone recommend some production quality fullstack TS repos on Github?
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Don't waste time building another API, let the machines make them for you with the Booster Framework!
To summarize, by writing highly semantic code and letting the machine do the heavy lifting, Booster allows you to build fully functioning real-time APIs in a breeze, making everything else work out of the box, and saving a ton of time that you can use to add new use cases, write better tests, or manage elusive corner cases.
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Understanding event-sourcing using the Booster Framework
I encourage you all to try out Booster and modeling your systems around events. Learn more by visiting Booster's website, GitHub repo, or join the conversation on the Booster Discord server!
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AWS open source news and updates No.41
booster Booster is a high-level framework for TypeScript to build Serverless applications with built-in business-logic-level abstractions. Booster is highly opinionated and still under heavy development so be aware of that as you explore this project. I had a look a the documentation, and it is very detailed and comprehensive. This could be a project to watch.
What are some alternatives?
apollo-client - :rocket: A fully-featured, production ready caching GraphQL client for every UI framework and GraphQL server.
eventmesh - EventMesh is a new generation serverless event middleware for building distributed event-driven applications.
aws-virtual-gpu-device-plugin - AWS virtual gpu device plugin provides capability to use smaller virtual gpus for your machine learning inference workloads
cfn-diagram - CLI tool to visualise CloudFormation/SAM/CDK stacks as visjs networks, draw.io or ascii-art diagrams.
artwork - Contains the collaborative work of the openSUSE marketing and artwork teams. Content is licensed under CC-BY-SA 3.0 (Creative Commons Attribution-ShareAlike 3.0 Unported License).
kubernetes - Production-Grade Container Scheduling and Management
artwork - GraphQL Foundation artwork
aws-sdk-js-v3 - Modularized AWS SDK for JavaScript.
k8s-set-context - GitHub Action for setting context and retrieving Kubeconfig before deploying to Kubernetes clusters
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.
aws-robomaker-sample-application-meirorunner - This sample application can run on AWS RoboMaker and demonstrate reinforcement learning machine learning for robotics
aws-auto-cleanup - Programmatically delete AWS resources based on an allowlist and time to live (TTL) settings