GraphQL in Enterprise: What It Takes to Build, Deploy, and Monitor a New Enterprise GraphQL Service
Blog post from Moesif
GraphQL adoption in enterprise settings requires careful planning and consideration of its advantages over traditional REST APIs, such as its flexibility in retrieving data without creating multiple endpoints. However, enterprises must also weigh the complexities and learning curve associated with GraphQL, including security vulnerabilities, caching challenges, and the need for comprehensive error handling. While building a GraphQL service from scratch offers high flexibility, it involves a steep learning curve and resource investment, whereas using existing infrastructure with products like Hasura or Fauna presents a quicker, albeit less customizable, alternative. Transitioning to GraphQL also necessitates frontend adjustments and thorough testing to ensure system integrity. Monitoring tools like Moesif can aid in tracking GraphQL service performance and usage, highlighting the need for effective management and monitoring to facilitate a successful transition from REST to GraphQL.