In this new api-university.com youtube series, I want to figure out, what makes a great API with a great developer experience. And the best way to find out is to actually pick a couple of APIs, and try to use
Let’s explore some common use cases for AWS AppSync, where AWS AppSync can help to build GraphQL APIs fast. Simple Data-Centric GraphQL API A typical use-case for AppSync is providing a data-centric API to an existing data source. The advantage
GraphQL is great but requires the manual installation and maintenance of software infrastructure components, tedious configuration, and some manual tweaking. And when running a productive GraphQL system, you need to find a way to scale the system up and down
AWS AppSync is a fully-managed serverless GraphQL infrastructure. Because it runs on a serverless, managed infrastructure, it scales automatically and does not require any manual installation nor any maintenance. Thus, AppSync allows us to get started quickly without any impediments.
Typically, developers want to implement, debug and test the receiver locally in a development environment. If we want to test it locally, we can only test it with the artificial events produced by the mock server. What to do when
There are two essential concepts for integration today: APIs and events. APIs allow for reading and writing data, calling functionality and starting processes. APIs connect us with actuators in the digital world that enable us to do and change things.
GraphQL queries consist of one or more patterns which are matched against the big graph containing all the data on the server. The patterns describe a subgraph of the big graph and is used to search for the relevant data in the
Let’s have a look at the AppSync architecture. In the figure below we have depicted such a high-level solution architecture for an app, an AppSync API and AWS data sources. On the left-hand side we have the clients connecting to
To read data with GraphQL, the client uses the query method. In the pattern of this query, the client has to explicitly specify all the object and fields it is interested in. As a result of the query, the client
Modern clients need to get near real-time updates that get triggered when something changes on the server. For example, an instant messaging app needs to get notified, when a new message arrives on the server, or a weather app needs