Blogs by: Nikhil Chandrappa

Spring Data YugabyteDB – Getting Started!

Spring Data YugabyteDB – Getting Started!

Spring Data modules are widely used Spring Framework projects for implementing database access in Java applications. Spring Data provides consistent and familiar APIs for querying the data by supporting Data Repository and Template methods, reducing the boilerplate code required for establishing database connection and queries.

For developers and architects, the standard set of APIs provided by Spring Data abstracts away the need to learn the database-specific query language, reducing ramp-up time and increasing developer velocity.

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Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed

Deploy a Real-Time Polling App with Hasura Cloud and YugabyteDB Managed

Hasura is a leading vendor in the GraphQL ecosystem, offering a powerful alternative to REST for building microservices and mobile applications. Hasura’s open source GraphQL Engine connects to your database and instantly auto-generates a production-ready GraphQL API backend. YugabyteDB, the open source distributed SQL database, is a perfect complement to GraphQL giving you horizontal scalability, fault tolerance, and global data distribution in a single system. YugabyteDB eliminates many of the scaling and resilience limitations of a traditional monolithic RDBMS.

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Getting Started with DBeaver EE and YugabyteDB Cloud Query Language (YCQL)

Getting Started with DBeaver EE and YugabyteDB Cloud Query Language (YCQL)

Developers and DBAs widely use SQL editors to design database schemas, write ad hoc queries, troubleshoot, and manage the security policies and database users. For these reasons, it is essential for us as builders of YugabyteDB to bring native integration with popular database tools like DBeaver.

If you are following the YugabyteDB project and our blog posts, you’ll know YugabyteDB currently supports two APIs – YSQL and YCQL (NoSQL) – for querying the database.

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Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions

Building Resilient GraphQL Apps and Scaling Them to 1M Subscriptions

GraphQL provides a query language for APIs, giving UX developers autonomy over querying APIs and the database.

The advantages of using GraphQL for UX applications are well understood. GraphQL clients can retrieve only the data needed in the UI application. GraphQL provides a strong type system that avoids manual code parsing and data filtering that takes up precious processing cycles when rendering the UI to users. Additionally, GraphQL increases UX development’s velocity, and the feedback cycles needed for designing API responses are minimized.

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Building Serverless Applications Using Spring Boot, AWS Lambda, and YugabyteDB

Building Serverless Applications Using Spring Boot, AWS Lambda, and YugabyteDB

Introduction to Serverless Applications

Serverless applications allow developers to run code without having to provision or manage any servers; developers can just concentrate on implementing the business logic of their applications.

As workloads move to the cloud, serverless applications are gaining tremendous popularity with developers. Serverless frameworks allow developers to program for the cloud to take advantage of elastic scaling for workloads and provide cost benefits of using pay-for-use features, only getting billed for compute time they consume.

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Getting Started with Distributed SQL on Red Hat OpenShift with YugabyteDB Operator

Getting Started with Distributed SQL on Red Hat OpenShift with YugabyteDB Operator

We are happy to announce that the YugabyteDB Operator is now certified and available as a Beta release on Red Hat OpenShift, a leading enterprise Kubernetes platform for deploying and managing cloud native applications. Achieving certification means that customers can deploy YugabyteDB on OpenShift with confidence because the YugabyteDB container image has been secured, validated, and is well-integrated to run on OpenShift. And the solution is backed by collaborative support between Red Hat and Yugabyte,

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Bringing Distributed SQL to VMware Tanzu

Bringing Distributed SQL to VMware Tanzu

VMware Tanzu, the newest offering from VMware’s stable of proven enterprise products, brings together a portfolio of open source projects for modernizing applications and automating infrastructure management. VMware Tanzu provides a managed Kubernetes environment on VMware vSphere or any public cloud of choice that allows a consistent way to provision and deploy the code for application developers.

The Yugabyte team collaborated with VMware to certify YugabyteDB for Tanzu Kubernetes environments,

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Scaling Relational Spring Microservices Without Load Balancers

Scaling Relational Spring Microservices Without Load Balancers

This article was originally posted on JAXenter.com.

Modern cloud native applications demand relational databases to be highly available while being able to scale to millions of requests (RPS) and thousands of transactions per second (TPS) on demand. This is becoming essential to meet the seamless experience demanded by business applications and their users. High availability and scalability in NoSQL databases like Apache Cassandra and MongoDB are well understood, but have been challenging problems to solve in relational databases.

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Developing Reactive Microservices with Spring Data and Distributed SQL

Developing Reactive Microservices with Spring Data and Distributed SQL

In 2016 in the keynote presentation of Spring One Platform, Juergen Hoeller announced Spring WebFlux, one of the most highly anticipated projects being worked on by the Spring Team due to the performance gains that reactive streams promised for web controllers. Subsequently, with Spring Framework 5.0, Spring Reactive MVC went GA along with the release of WebFlux API, making the reactive stream based web controller mainstream.

Fast-forward to 2020, Spring WebFlux MVC has gained wide adoption in cloud native applications,

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