Implementing Cloud Design Patterns For Aws Second Edition
Implementing Cloud Design Patterns for AWS, Second Edition, published by Packt
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Vaquarkhan | 1,464 | a year ago | ||||||||
| Aws Serverless Event Fork Pipelines | 124 | 4 years ago | n,ull | other | Python | |||||
| AWS Event Fork Pipelines helps you build event-driven serverless applications by providing pipelines for common event-handling requirements, such as event backup, analytics, and replay. The pipelines are based on AWS SAM, and can be deployed directly from AWS SAR into your AWS account. | ||||||||||
| Serverless Design Patterns And Best Practices | 40 | a year ago | 21 | mit | Python | |||||
| Serverless Design Patterns and Best Practices, published by Packt | ||||||||||
| My Readings | 29 | 2 years ago | TypeScript | |||||||
| API of my readings, developed in Nest.js, MongoDB, Nginx and Dockerized | ||||||||||
| Serverless Examples | 8 | 6 years ago | Python | |||||||
| Examples of design patterns using the AWS serverless stack. | ||||||||||
| Interview Notes | 8 | 2 years ago | ||||||||
| All are realtime interview questions and answers. I am adding more on daily basis whenever I am getting time. | ||||||||||
| Terraform Aws Openshift | 6 | 6 years ago | other | HCL | ||||||
| Automated cloud reference architecture library based on proven design patterns using Terraform | ||||||||||
| Implementing Cloud Design Patterns For Aws Second Edition | 6 | 3 years ago | mit | HCL | ||||||
| Implementing Cloud Design Patterns for AWS, Second Edition, published by Packt | ||||||||||
| Fargate Patterns | 6 | 5 years ago | Shell | |||||||
| Compendium and examples of a few AWS Fargate Patterns | ||||||||||
| Aws Serverless Failure Modes | 6 | a year ago | mit-0 | Python | ||||||
| Serverless failure modes is a sample application that illustrates common patterns and best practices around failure handling between components. | ||||||||||
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