Front-End Web & Mobile
Tag: aws-appsync
Create a Fullstack, Sample Web App powered by Amazon Bedrock
In this post we will walk you through creating a fullstack, sample web app that uses Amazon Bedrock to create generative AI-powered application features and user experiences. Your sample app will include: A React frontend web application, built with Amplify UI components, that supports both end user chat interactions with Amazon Bedrock foundational models, and […]
The frontend web and mobile app developer’s guide to AWS re:Invent 2023
ICYMI – AWS re:Invent is only a week away! We can’t wait to join thousands of builders in person and virtually for another exciting event. Don’t forget to register here. In this blog post, we’re highlighting the most exciting sessions for technology leaders and frontend, full-stack, and backend developers. Sessions span intermediate (200) through expert […]
Architecture Patterns for AWS AppSync Private APIs
AWS AppSync is a fully managed service that enables developers to create GraphQL APIs that securely access, manipulate and combine data from one or more data sources. Recently, AWS announced the support for AWS AppSync Private APIs to help customers restrict access to your GraphQL APIs to API consumers within a private network, such as […]
Query Heterogeneous Data Sources through AWS AppSync GraphQL APIs
AWS AppSync and Amazon API Gateway are managed API services designed to provide a unified endpoint enabling front end clients to access resources stored in various data sources. This article underscores the advantages of employing AppSync as the API solution for external clients to access your data sources via GraphQL. Introduction GraphQL, an API protocol, […]
Introducing Private APIs on AWS AppSync
AWS AppSync is a fully managed service that enables developers to create GraphQL APIs that can securely access, manipulate and combine data from one or more data sources. When you create a GraphQL API on AppSync, a public endpoint will be generated which can be used to send queries, mutations and subscriptions requests to the […]
Branch Insurance improves hiring diversity and accelerates app development using AWS AppSync
Branch Insurance is an insurance technology startup that provides simple insurance policies and comprehensive bundles to customers in the United States. The company set out to radically simplify the end-user experience for insurance customers by offering bindable prices based on just a couple simple pieces of information – the customer’s name and address. One of Branch’s […]
AWS AppSync pipeline resolvers and functions now support additional array methods and arrow functions
AWS AppSync is a managed service that makes it easy to build scalable APIs that connect applications to data. Developers use AppSync every day to build GraphQL APIs that interact with data sources like Amazon DynamoDB, AWS Lambda, and HTTP APIs. With AppSync, developers can write their resolvers using JavaScript, and run their code on […]
Backends for Frontends Pattern
In this blog post, we describe how you can improve end-user customer experience on your User Interfaces (UI) by implementing the Backend for Frontend pattern and providing real-time visual updates when your microservices raise events about mutations in their domain aggregates. The solution proposed combines two patterns: 1) the Backends for Frontends (BFF) pattern, where […]
The fullstack guide to using AWS AppSync and MongoDB Atlas
AWS AppSync is a fully managed service that makes it simple to build scalable APIs for web and mobile applications. It allows you to create APIs that access data from a variety of sources, including databases, serverless functions, and other AWS services. With AWS AppSync, you can build APIs that support real-time data via WebSockets, […]
Cloud Brigade Accelerates Full-Stack App Development with AWS Amplify
Since 2005, Cloud Brigade has served as a strategic IT advisor and provider of custom business and technical services for companies of all sizes. Their team develops software solutions with a particular focus on advanced machine learning, artificial intelligence, and Internet of Things (IoT) projects. Previously, the team followed a monolithic approach to develop custom […]