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How to Set Up a Scalable and Highly-Available GraphQL API in Minutes

A modern GraphQL API layer for cloud native applications needs to possess two characteristics: horizontal scalability and high availability.

Horizontal scalability adds more machines to your API infrastructure, whereas vertical scalability adds more CPUs, RAM, and other resources to an existing machine that runs the API layer. While vertical scalability works to a certain extent, the horizontally scalable API layer can scale beyond the capacity of a single machine.

When it comes to high availability,

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Yugabyte + Hasura Make it Easier to Build Complex, Global Applications

Building innovative applications that improve user experience and exceed expectations is hard. As users, we demand a lot. We demand that your applications always be available – who knows, we may want to order a new set of tires at 3:30 am on a Wednesday. We demand that your applications be fast wherever we are – doesn’t matter if it’s Phnom Penh or Philadelphia. And we definitely expect you to give us a good experience – your application should know what we want to do next and help us get there.

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Scaling a Hasura GraphQL Backend with Distributed SQL

GraphQL is taking the modern development world by storm having been adopted by companies like Facebook, GitHub and Intuit because it solves many of the common problems developers encounter when working with REST APIs. For example, it solves issues like overfetching (getting more data than your response needs) and underfetching (having to make multiple fetches to get all the data you need), or when consolidating API responses on the client is necessary. When a developer follows the GraphQL spec,

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