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GraphQL Performance Optimization
I recently joined a team in a great position - their GraphQL API PoC was green-lit to become the company's future platform and was nearing feature parity with their existing REST-ish API. As more product teams inside the company started building applications on the GraphQL API, the API team had to dedicate time to support, operations, bug fixes, and new features requested by product teams. Time for performance improvements was squeezed out, so I joined the effort to lower the server's response times and reduce resource usage with my fresh eyes and questions about everything.
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GraphQL Performance Optimization
I recently joined a team in a great position - their GraphQL API PoC was green-lit to become the company's future platform and was nearing feature parity with their existing REST-ish API. As more product teams inside the company started building applications on the GraphQL API, the API team had to dedicate time to support, operations, bug fixes, and new features requested by product teams. Time for performance improvements was squeezed out, so I joined the effort to lower the server's response times and reduce resource usage with my fresh eyes and questions about everything.
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GraphQL Performance Optimization
I recently joined a team in a great position - their GraphQL API PoC was green-lit to become the company's future platform and was nearing feature parity with their existing REST-ish API. As more product teams inside the company started building applications on the GraphQL API, the API team had to dedicate time to support, operations, bug fixes, and new features requested by product teams. Time for performance improvements was squeezed out, so I joined the effort to lower the server's response times and reduce resource usage with my fresh eyes and questions about everything.
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- og:titleGraphQL Performance Optimization
- og:descriptionI recently joined a team in a great position - their GraphQL API PoC was green-lit to become the company's future platform and was nearing feature parity with their existing REST-ish API. As more product teams inside the company started building applications on the GraphQL API, the API team had to dedicate time to support, operations, bug fixes, and new features requested by product teams. Time for performance improvements was squeezed out, so I joined the effort to lower the server's response times and reduce resource usage with my fresh eyes and questions about everything.
- og:urlhttps://rangle.io/blog/graphql-performance-optimization
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6- twitter:site@Rangleio
- twitter:titleGraphQL Performance Optimization
- twitter:descriptionI recently joined a team in a great position - their GraphQL API PoC was green-lit to become the company's future platform and was nearing feature parity with their existing REST-ish API. As more product teams inside the company started building applications on the GraphQL API, the API team had to dedicate time to support, operations, bug fixes, and new features requested by product teams. Time for performance improvements was squeezed out, so I joined the effort to lower the server's response times and reduce resource usage with my fresh eyes and questions about everything.
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2- nameGraphQL Performance Optimization
- descriptionI recently joined a team in a great position - their GraphQL API PoC was green-lit to become the company's future platform and was nearing feature parity with their existing REST-ish API. As more product teams inside the company started building applications on the GraphQL API, the API team had to dedicate time to support, operations, bug fixes, and new features requested by product teams. Time for performance improvements was squeezed out, so I joined the effort to lower the server's response times and reduce resource usage with my fresh eyes and questions about everything.
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