AWS Mobile Blog

Category: Announcements

AppSync adds support for AWS WAF

This article was written by Brice Pellé, Principal Specialist Solutions Architect, AWS   AWS AppSync is a fully managed service that allows you to deploy Serverless GraphQL backends in the AWS cloud. With AppSync, you can have GraphQL backends that connect to multiple data sources, and that scale and grow with your usage. Whether you […]

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Introducing Direct Lambda Resolvers: AWS AppSync GraphQL APIs without VTL

This article was written by Ed Lima, Sr. Product Manager, AWS   AWS AppSync is a managed serverless GraphQL service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources with a single network call. With AppSync, developers can build scalable […]

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Creating a Python WebSocket client for AWS AppSync real-time subscriptions

This article was written by Steve Johnson, Principal Specialist Solutions Architect, AWS     AWS AppSync is a managed service that uses GraphQL to make it easy for applications to get exactly the data they need on AWS. One of the great things about writing clients for AppSync is that GraphQL queries and mutations can […]

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Improving GraphQL Observability with AWS AppSync Tracing Support

This article was written by Heitor Lessa, Principal Specialist Serverless Lead AWS   Today, I’m excited to tell you about the new AWS X-Ray native integration with AWS AppSync released a couple of weeks ago. Previously, if you wanted to determine performance bottlenecks on GraphQL operations in AppSync, you had to rely on custom logging […]

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AWS AppSync and the GraphQL Info Object

This article was written by Brice Pellé, Principal Specialist Solutions Architect, AWS   AWS AppSync is a fully managed service that allows to deploy Serverless GraphQL backends in the AWS cloud. GraphQL is a data language for your API that makes it easy and straight forward to interact with multiple data sources. One of the […]

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Improving GraphQL API performance and consistency with AWS AppSync Caching and DynamoDB Transactions support

AWS AppSync is a managed GraphQL service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources. Different data sources are often optimized for different use cases and may deliver data at different speeds. The underlying data fields defined in the […]

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New features that will enhance your Real-Time experience on AWS AppSync

AWS AppSync is a managed service that uses GraphQL to simplify application development by letting applications securely access, manipulate, and receive real-time updates from multiple data sources such as databases or APIs. Taking advantage of GraphQL subscriptions to perform real-time operations, AppSync can push data to clients that choose to listen to specific events from […]

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Developing and testing GraphQL APIs, Storage and Functions with Amplify Framework Local Mocking features

This article was written by Ed Lima, Sr. Solutions Architect, AWS and Sean Grove, OneGraph In fullstack application development, iteration is king. At AWS, we’re constantly identifying steps in the process of shipping product that slow iteration, or sap developer productivity and happiness, and work to shorten it. To that end, we’ve provided cloud APIs, serverless […]

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Using multiple authorization types with AWS AppSync GraphQL APIs

Written by Ionut Trestian, Min Bi, Vasuki Balasubramaniam, Karthikeyan, Manuel Iglesias, BG Yathi Raj, and Nader Dabit Today, AWS announced that AWS AppSync now supports configuring more than one authorization type for GraphQL APIs. You can now configure a single GraphQL API to deliver private and public data. Private data requires authenticated access using authorization […]

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Getting more visibility into GraphQL performance with AWS AppSync logs

Written by Shankar Raju, SDE at AWS & Nader Dabit, Sr. Developer Advocate at AWS. Today, we are happy to announce that AWS AppSync now enables you to better understand the performance of your GraphQL requests and usage characteristics of your schema fields. You can easily identify resolvers with large latencies that may be the […]

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