Front-End Web & Mobile
Category: Database
Practical use cases for AWS AppSync Pipeline Resolvers – Part 2: Data Aggregation
This article was written by Salman Moghal, Application Architect, AWS, and Abdul Kitana, Security Architect, AWS Overview AWS AppSync is a fully managed service that allows to deploy Serverless GraphQL backends in the AWS cloud. It provides features that developers can use to create modern data driven applications allowing to easily query multiple databases, […]
Practical use cases for AWS AppSync Pipeline Resolvers – Part 3: Heterogeneous Data Sources
This article was written by Salman Moghal, Application Architect, AWS, and Abdul Kitana, Security Architect, AWS Overview AWS AppSync is a fully managed service that allows to deploy Serverless GraphQL backends in the AWS cloud. It provides features that developers can use to create modern data driven applications allowing to easily query multiple databases, […]
Building Scalable GraphQL APIs on AWS with CDK, TypeScript, AWS AppSync, Amazon DynamoDB, and AWS Lambda
September 14, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. 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 and API endpoint. […]
AWS AppSync offline reference architecture – powered by the Amplify DataStore
This article was written by Fernando Dingler, Senior Solutions Architect, AWS Modern mobile and web applications are built to provide delightful and seamless user experiences. As users we have become more demanding and we expect a great user experience for the mobile apps we interact with on a daily basis. For example, if we […]
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 […]
GraphQL API Security with AWS AppSync and Amplify
This article was written by Brice Pellé, Principal Specialist Solutions Architect, AWS September 14, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. AWS AppSync is a fully managed service which allows to deploy and interact with serverless scalable GraphQL backends on AWS. AppSync uses security best practices that AWS has […]
Improving GraphQL Observability with AWS AppSync Tracing Support
This article was written by Heitor Lessa, Principal Specialist Serverless Lead AWS September 14, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. 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 […]
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 […]
Simplify access to multiple microservices with AWS AppSync and AWS Amplify
This article was written by Faraz Masood, Cloud Architect, AWS Modern applications and architectures are created with microservices in mind, and the ever evolving nature of each service makes it difficult to build and maintain a single API for multiple clients. Rapid iteration in the development cycle can benefit from an unified API interface […]
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 […]