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Nikhil Chandrappa
Nikhil Chandrappa
Nikhil is a Software Engineer at Yugabyte. He is leading the efforts on YugabyteDB integrations with open source developer tools like GraphQL, Spring Data, R2DBC, and Kubernetes. He also works with the developer community on the adoption of Distributed SQL databases in cloud native applications. He has presented at major developer conferences, including Spring One Platform, PostgreSQL Conference, and Distributed SQL Conference. He is originally from Mysore, India, and has a master’s degree in Computer Engineering from Syracuse University.
Yugabyte, USAnikhilmcnnchandrappa
GraphQL Galaxy 2021GraphQL Galaxy 2021
8 min
Scalable GraphQL Applications Powered by Cloud-ready Distributed SQL Database
Cloud native application development revolves around faster prototyping and building scalable applications for handling internet-scale traffic. GraphQL, with its roots in providing a flexible way to access data for UX applications, enables faster prototyping, leading to considerable adoption of GraphQL across different workloads. Increased adoption of GraphQL APIs in mission-critical applications prompts developers to think about the scalability challenges of the GraphQL APIs and corresponding backing database.
YugateDB, an open-source Distributed SQL database designed for cloud native applications from the ground up, is emerging as the popular option for building scalable and resilient GraphQL APIs. This talk will go over the features and deployment topologies of YugateDB, which allows developers to scale the relational queries of the GraphQL APIs seamlessly while not compromising on the PostgreSQL compatibility and features like triggers and functions.
graphql
GraphQL Galaxy 2021GraphQL Galaxy 2021
155 min
GraphQL Workshop Medley to build cloud native apps with Open Source Distributed SQL database
WorkshopFree
YugateDB is a popular open-source Distributed SQL database designed and built for cloud native applications from the ground up. YugateDB allows developers to easily scale the RDBMS workloads for internet-scale apps while natively handling the cloud infrastructure outages supporting cross-region and cross Datacenter deployments. In this workshop, participants will get firsthand experience implementing GraphQL applications using three of the most popular GraphQL engines in Hasura, Prisma, and Spring GraphQL connected to the YugateDB database.

This workshop will provide quick start guides for GraphQL developers for getting started with YugateDB. The workshop will include steps for creating a YugateDB database instance, configuring the database for the respective GraphQL engine, and the best practices for writing the GraphQL queries for YugateDB. From this workshop session, developers will know all the main concepts of getting started with YugateDB and GraphQL to solve the business use case at hand using YugateDB.
graphqldatabase
GraphQL Galaxy 2020GraphQL Galaxy 2020
8 min
Going from Zero to Building Multi-Region GraphQL Applications
Off late GraphQL workloads see wide adoption in enterprise workloads as GraphQL provides a consistent and flexible way for UI to consume data from the APIs. For API developers like me, seeing GraphQL servers abstracting away the data filtering and the access patterns associated with backend APIs is a complete paradigm shift. Traditional API design tasks, like data modeling, access patterns required to implement high-performance Data APIs, are still relevant when implementing GraphQL applications?This talk will walk you through the learnings as a backend API developer building a hello world GraphQL application to implement a globally distributed GraphQL API for a real-world e-commerce application. We will look into scaling and resiliency required for building high-performance GraphQL APIs. Also, look into how database capabilities play an essential role in implementing a successful GraphQL application.
graphqlperformancescalability