GraphQL, Data Sources, and Visual Testing. How does GraphQL help developers scale to more platforms? GraphQL is a query language for APIs that allow developers to request only the parts they need from large amounts of data. Describe your data, ask for what you want, and get predictable results with GraphQL
In the ever-changing world of development, new tools are constantly popping up to help developers create and manage complex solutions with the ultimate goal of building a great experience for their customers.
Whether it’s a tool to help that developer become more productive or an entirely new way of thinking about the architecture of the project, developers are able to spend more time focusing on the unique parts of our code and focus on that great experience.
But as technology and tools evolve, we’re often facing the reality that with those new powers, we can support more platforms and more experiences, adding more overhead to ensuring the quality of the product remains high.
GraphQL is a query language for APIs that allow developers to request only the parts they need from large amounts of data. This includes the ability to create complex queries across different databases, that may previously have required multiple REST API requests to fulfill.
Describe your data, ask for what you want, and get predictable results with GraphQL
With the ability to query for only the data you need, Front End Engineers and App Developers have an easier time managing that data, being able to create lean interfaces with reduced complexity. This helps reduce both up front cost (from a money and time perspective) and maintenance cost.
As that time starts to free up, it becomes more realistic that those developers can support additional interfaces, creating more opportunity to support more platforms.
The ultimate goal of adding your product to more platforms is that you can provide a better experience for your customers. Having a native application on iOS and Android allows developers to tap into the resources and features of those devices, allowing people to become more productive with those apps.
Leveraging GraphQL to manage content for multiple platforms
But every platform that’s added to your product offering creates additional overhead for the team that’s testing those platforms, whether that’s a single developer or a larger team of Quality Engineers. If your testing process can’t scale to meet the needs of the platforms offered,
This isn’t meant to deter someone from moving to new platforms, but it’s a reality that should be considered before making that jump. What options do we have to mitigate these concerns, scale our testing solutions, and maintain confidence in our platforms?
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