Ecosystem Integrations

Real-Time Scalable GraphQL and JAMstack with Gatsby, Hasura, and YugabyteDB

Real-Time Scalable GraphQL and JAMstack with Gatsby, Hasura, and YugabyteDB

JAMstack is a new way of building websites and apps. It’s not a technology but rather an architectural pattern that is growing in popularity. In JAMstack, the JAM acronym stands for JavaScript, API, and Markup, and the main idea behind the technology is that web applications don’t have to rely on the application server to be fully functional and robust.

There are four primary benefits of adopting a JAMstack architecture.

  • Higher performance driven by efficient use of static assets and Content Delivery Networks (CDNs).

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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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Scaling a Hasura GraphQL Backend with Distributed SQL

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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Basic CRUD Operations Using Hasura GraphQL with Distributed SQL on GKE

Basic CRUD Operations Using Hasura GraphQL with Distributed SQL on GKE

Editor’s note: This post was updated July 20, 2020 with new Helm and YugabyteDB versions

GraphQL is an MIT-licensed project originally developed at Facebook in 2012 and open-sourced a few years later. Two popular GraphQL projects, Hasura and Apollo, have reported download numbers of 29 and 33 million, respectively. Why? Think of GraphQL as a query language for APIs and a runtime for fulfilling those queries with your existing data. GraphQL provides a complete and understandable description of the data in your API,

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YugabyteDB 2.1 is GA: Scaling New Heights with Distributed SQL

YugabyteDB 2.1 is GA: Scaling New Heights with Distributed SQL

Team Yugabyte is excited to announce the general availability of YugabyteDB 2.1! The highlight of this release is that Yugabyte SQL (YSQL), YugabyteDB’s PostgreSQL-compatible API, has not only improved performance 10x since the 2.0 release in September 2019 but is also production ready for multiple geo-distributed deployment scenarios. For those of you who are new to distributed SQL, YugabyteDB is a Google Spanner-inspired, cloud native distributed SQL database that is 100% open source.

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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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Getting Started with DbSchema on a Distributed SQL Database

Getting Started with DbSchema on a Distributed SQL Database

If you’re a database developer, you know the time saving value of being able to visually design, document and query SQL and NoSQL databases from a single UI. DbSchema is a well-rounded, visual database tool that supports over 40 databases from a single interface. Because YugabyteDB is PostgreSQL compatible, getting DBSchema to work with a distributed SQL database is relatively simple.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.

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Announcing the Kafka Connect YugabyteDB Sink Connector

Announcing the Kafka Connect YugabyteDB Sink Connector

For customers that run Kafka for their streaming data platform, the Kafka Connect Sink plugin handles delivery of specific topic data to a YugabyteDB instance. As soon as new messages are published, the Sink manages forwarding and automatic addition to a destination table.

YugabyteDB is a high-performance, distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) supports most of PostgreSQL’s functionality and is wire-protocol compatible with PostgreSQL drivers.

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