My main use case for AWS AppSync is to deploy the application by connecting my frontend and backend application. AWS AppSync serves as a GraphQL API Gateway that sits between my frontend and backend service. As an example of how I use AWS AppSync as an API gateway between my frontend and backend, I have written a GraphQL query, and by using AWS AppSync it combines multiple data sources. It hides the backend complexity and also does the pipeline resolvers.
AWS Cloud Developer at Mobil80 Solutions and Services Pvt. Ltd.
Real User
Top 5
Jan 14, 2025
Our company handles in-house projects and serves clients globally. My role with AppSync involves creating GraphQL APIs. There are different types of APIs, such as REST API, GraphQL API, and WebSockets, depending on the project's needs. GraphQL AWS is among the most crucial APIs we utilize across various products. In AppSync, I create diverse GraphQL APIs with various functions and schemas.
We require our frontend and multiple frontends to communicate with the backend via GraphQL. GraphQL, provides a lot of flexibility in terms of data retrieval and data manipulation, allowing you to get exactly the data you need, nothing more, nothing less. We require our frontend, mobile or web frontend to communicate with the backend, and many other APIs through GraphQL. At that level, AppSync, like an API gateway, is capable of sourcing data from multiple data sources. It can provide you with the GraphQL endpoint. As a result, you won't have to write any additional backend code. Transitioning from a server-based to a serverless architecture is relatively simple, and very fast.
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My main use case for AWS AppSync is to deploy the application by connecting my frontend and backend application. AWS AppSync serves as a GraphQL API Gateway that sits between my frontend and backend service. As an example of how I use AWS AppSync as an API gateway between my frontend and backend, I have written a GraphQL query, and by using AWS AppSync it combines multiple data sources. It hides the backend complexity and also does the pipeline resolvers.
Our company handles in-house projects and serves clients globally. My role with AppSync involves creating GraphQL APIs. There are different types of APIs, such as REST API, GraphQL API, and WebSockets, depending on the project's needs. GraphQL AWS is among the most crucial APIs we utilize across various products. In AppSync, I create diverse GraphQL APIs with various functions and schemas.
We require our frontend and multiple frontends to communicate with the backend via GraphQL. GraphQL, provides a lot of flexibility in terms of data retrieval and data manipulation, allowing you to get exactly the data you need, nothing more, nothing less. We require our frontend, mobile or web frontend to communicate with the backend, and many other APIs through GraphQL. At that level, AppSync, like an API gateway, is capable of sourcing data from multiple data sources. It can provide you with the GraphQL endpoint. As a result, you won't have to write any additional backend code. Transitioning from a server-based to a serverless architecture is relatively simple, and very fast.