Distributed SQL

August 21, 2020

Databases Distributed SQL Google Cloud Platform GraphQL How To Kubernetes

Deploying a Real-Time Location App with Hasura GraphQL Engine and Distributed SQL

Hasura is one of the leading vendors in the GraphQL ecosystem. They offer an open source engine that connects to your databases and microservices, and then auto-generates a production-ready GraphQL backend. GraphQL is a query language (more specifically a specification) for your API, and a server-side runtime for executing queries by using a type system you define for your data. GraphQL is often used for microservices, mobile apps, and as an alternative to REST.

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Run the REST Version of Spring PetClinic with Angular and Distributed SQL on GKE

August 20, 2020

By Jimmy Guerrero

Distributed SQL Google Cloud Platform Kubernetes Spring

Run the REST Version of Spring PetClinic with Angular and Distributed SQL on GKE

Java developers know that Spring Data makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. When YugabyteDB is combined with Spring, Java developers are able to leverage their familiarity with PostgreSQL while gaining the added benefits of distributed SQL. These “out-of-the-box” benefits include geo-data distribution, high performance, and horizontal scalability, which are impossible or difficult to achieve with monolithic SQL databases.

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My Time as a Yugabyte Software Engineering Intern

August 18, 2020

By Vivek Gopalan

Careers Databases Distributed SQL Open Source PostgreSQL

My Time as a Yugabyte Software Engineering Intern

February – A Unique Introduction

It was late February, and I had spent the past several weeks learning everything I could about the distributed database ecosystem. As an intern on the Investment Team at 8VC, I had gotten the chance to work on technical due diligence under Partner & CTO Bhaskar Ghosh, taking a multitude of pitches every week and constantly shifting contexts. One of those companies speaking with us was Yugabyte,

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Distributed SQL Tips and Tricks – Aug 17, 2020

August 17, 2020

By Dorian Hoxha

Databases Distributed SQL How To PostgreSQL

Distributed SQL Tips and Tricks – Aug 17, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow. Ok, let’s dive right in:

How are secondary indexes stored internally in YugabyteDB?

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Staying Connected During COVID-19: Join Us at KubeCon + CloudNativeCon Europe 2020

August 14, 2020

By Michelle Brinich

Community News Databases Distributed SQL Kubernetes Open Source

Staying Connected During COVID-19: Join Us at KubeCon + CloudNativeCon Europe 2020

We are excited to sponsor KubeCon + CloudNativeCon Europe 2020 and participate alongside other open source and cloud native communities coming together to drive cloud native computing forward. Although many people across the world remain physically distanced (us included), we believe that coming together as a community and maintaining a sense of connection are still very essential and important. That’s why we are happy to take part in the virtual KubeCon + CloudNativeCon event taking place August 17-20,

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Introducing yugabyted, the Simplest Way to Get Started with YugabyteDB

August 13, 2020

By Sid Choudhury

Databases Distributed SQL How It Works How To Open Source YugabyteDB

Introducing yugabyted, the Simplest Way to Get Started with YugabyteDB

Users familiar with YugabyteDB’s architecture know that it is based on two servers where cluster metadata storage and administrative operations are managed by a YB-Master metadata server that is independent from the YB-TServer database server. The end result is that the YB-Master server can be configured and tuned (in a manner that is completely isolated from YB-TServer) to achieve higher performance and faster resilience than a single-server architecture. However, the need for these two servers to come together in a cluster increases the mental burden on a new user who wants to experience the database’s benefits in the shortest time possible.

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GraphQL & Distributed SQL Tips and Tricks – Aug 10, 2020

August 10, 2020

By Jimmy Guerrero

Databases Distributed SQL GraphQL How To

GraphQL & Distributed SQL Tips and Tricks – Aug 10, 2020

Welcome to this week’s tips and tricks blog where we explore both beginner and advanced topics on how to combine GraphQL and YugabyteDB to develop scalable APIs and services.

First things first, for those of you who might be new to either GraphQL or distributed SQL.

What’s GraphQL?

GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data.

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Version Control for Distributed SQL Databases with Flyway

August 5, 2020

By Jimmy Guerrero

Databases Distributed SQL How To

Version Control for Distributed SQL Databases with Flyway

Flyway is an open source database version control and migration tool that stresses simplicity and convention over configuration. Changes to the database can be written in SQL (and in some database-specific dialects like PL/SQL and T-SQL) or Java. You interact with Flyway using a command-line client, however there are a variety of plugins that can be leveraged, including Maven, Gradle, Spring Boot, and more.

Supported databases include Oracle, SQL Server, DB2,

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August 3, 2020

By Dorian Hoxha

Community News Databases Distributed SQL How To

Distributed SQL Tips and Tricks – August 3, 2020

Is there a way to get “updated_at”

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Distributed SQL Change Management with Liquibase and YugabyteDB on GKE

July 30, 2020

By Jimmy Guerrero

Databases Distributed SQL Google Cloud Platform How To Kubernetes

Distributed SQL Change Management with Liquibase and YugabyteDB on GKE

Liquibase is an open source and extensible change management project that supports a variety of databases including Snowflake, MySQL, and PostgreSQL via JDBC. Liquibase allows users to easily define changes in SQL, XML, JSON, and YAML. These changes are then managed in a version control system so the changes can be documented, ordered, and standardized. For more information on the features and benefits of Liquibase, check out their documentation site.

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Distributed SQL

February – A Unique Introduction

How are secondary indexes stored internally in YugabyteDB?

What’s GraphQL?

Is there a way to get “updated_at”

Explore Distributed SQL and YugabyteDB in Depth