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Merge pull request tecture-io#22 from tecture-io/staging
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Diff for: aws/AlexaForBusiness/component.json

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{
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"name": "Alexa For Business",
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"short":"Alexa-powered voice assistant tailored for business operations and efficiency on AWS.",
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"description": "AWS Alexa for Business is a service designed to aid businesses in utilizing Alexa voice assistant capabilities across their organization. By integrating with existing business processes and tools, Alexa for Business helps enhance corporate efficiency. Use cases range from simplifying conference room bookings to hands-free IT helpdesk requests. Users can customize Alexa's responses for specific company-related queries or set up private skills relevant only to their organization. By introducing voice-enabled tasks and automations, Alexa for Business paves the way for a more intuitive and accessible workspace."
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}

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Diff for: aws/Amplify/component.json

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{
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"name": "Amplify",
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"short":"A development platform for building secure and scalable web and mobile applications on AWS.",
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"description": "AWS Amplify is a comprehensive set of tools and services that enables developers to build scalable and secure cloud-powered serverless web and mobile applications. With Amplify, developers can easily configure app backends and connect them to their frontend in minutes. Amplify supports popular web frameworks like React and React Native, as well as Android and iOS. The Amplify Console provides a Git-based workflow for deploying and hosting fullstack applications, while the Amplify libraries integrate various AWS services directly into your app. Amplify abstracts away much of the complex setup, making it simpler for developers to launch robust, scalable applications."
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}

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Diff for: aws/ApacheMxNet/component.json

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{
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"name": "Apache MXNet",
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"short":"An open-source deep learning framework that offers efficient model building, training, and deployment.",
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"description": "Apache MXNet is an open-source deep learning framework designed to be efficient and flexible, allowing developers to efficiently build, train, and deploy deep learning models. With support for multiple languages such as Python, Scala, and Julia, MXNet provides a comprehensive and versatile ecosystem for various applications including computer vision, natural language processing, and recommendation systems. One of its distinguishing features is the ability to mix symbolic and imperative programming, which makes the framework both powerful and user-friendly. MXNet is optimized for both cloud and edge devices and is supported by major cloud providers, including its integration with AWS services."
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}

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Diff for: aws/ApiGateway/component.json

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{
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"name": "API Gateway",
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"short":"A managed service on AWS for creating, publishing, and securing APIs at scale.",
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"description": "AWS API Gateway is a managed service that allows developers to create, publish, monitor, and secure APIs at any scale. With API Gateway, developers can connect various back-end services such as Lambda functions, EC2 instances, or any web application to create a well-defined RESTful API or WebSocket API. It provides features like traffic management, throttling, caching, and CORS support. API Gateway also integrates with AWS security features, allowing for authentication and authorization via AWS Identity and Access Management (IAM), Cognito, and more. The service simplifies the process of creating robust, scalable, and secure APIs while allowing developers to focus on their core application logic."
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}

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Diff for: aws/ApiGatewayEndpoint/component.json

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{
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"name": "API Gateway Endpoint",
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"short":"The URL through which AWS API Gateway exposes your deployed API to clients.",
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"description": "An API Gateway Endpoint refers to the URL that AWS API Gateway generates when you deploy your API. Through this endpoint, client applications can access the defined back-end resources. Depending on the setup, API Gateway can offer various types of endpoints, including Edge-optimized (for global clients), Regional (for clients in the same AWS region), and Private (accessible only within your VPC). Each type is designed to meet specific user needs in terms of latency, cost, and access control. Utilizing the endpoint, developers can expose their services and data, integrate with other systems, or offer functionality to end-users, all while leveraging the scalability and security features provided by AWS."
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}

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Diff for: aws/AppConfig/component.json

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{
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"name": "AppConfig",
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"short":"A service on AWS for managing and deploying application configurations safely and dynamically without impacting runtime.",
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"description": "AWS AppConfig is a service that enables application owners to safely manage and deploy application configurations without affecting the application's runtime. With AppConfig, changes can be made more frequently and reliably, allowing features to be rolled out, adjusted, or rolled back in real-time. AppConfig uses AWS Lambda, Amazon CloudWatch, and Amazon SNS to validate and monitor application configurations, ensuring that any changes made are consistent and safe. It's particularly useful for applications that need rapid feature toggles, A/B testing, or gradual rollouts, without requiring a code deployment. By integrating AppConfig, organizations can reduce errors during application configuration updates and enhance their overall agility."
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}

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