The Distributed SQL Blog

YugabyteDB on OKE (Oracle Cloud Kubernetes)

YugabyteDB on OKE (Oracle Cloud Kubernetes)

We have documented how to install YugabyteDB on the main cloud providers (https://docs.yugabyte.com/latest/deploy/public-clouds). And when I joined Yugabyte, many friends from the oracle community asked me about the Oracle Cloud (OCI).

In the Oracle Cloud there are 2 ways to run containers:

  • Do-It-Yourself with IaaS (Infrastructure as a Service)
    Obviously, you can provision some compute instances (and network and storage) running Docker and install Kubernetes (or other orchestration).

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Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Google Kubernetes Engine (GKE)

Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Google Kubernetes Engine (GKE)

Spring Boot is a popular framework for building cloud native applications. It makes configuring an application easy and helps you off the ground quickly. Each Spring Boot application is stand-alone and self-contained, which makes all of them easy to deploy in a distributed fashion – to containers or on Kubernetes.

YugabyteDB Managed (formerly Yugabyte Cloud) is our database-as-service offering. It is a perfect match for Spring Boot applications, especially ones made highly available with Kubernetes.

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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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Announcing Spring Data YugabyteDB

Announcing Spring Data YugabyteDB

YugabyteDB is the database of choice for building stateful cloud native apps that require resilience and scale. YugabyteDB offers Spring developers an easy way to deploy a transactional, resilient and geo-distributed database in their application stack from the outset, while also providing flexibility and  scalability as requirements change. The Spring community has always been a major influence on what we build at Yugabyte. Many of our customers rely on the immensely popular Spring Boot framework to build microservices. 

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Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Amazon Elastic Kubernetes Service (EKS)

Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It on Amazon Elastic Kubernetes Service (EKS)

Spring Boot is an extremely popular framework for building cloud native applications. It makes configuring an application easy and offers lots of starters to get you off the ground quickly. Each Spring Boot application is stand-alone and self-contained, which makes them easy to deploy in a distributed fashion – to containers or, even better, on Kubernetes.

YugabyteDB Managed (formerly Yugabyte Cloud) is a perfect match for Spring Boot applications,

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Announcing YugabyteDB 2.9: Pushing the Boundaries of Relational Databases

Announcing YugabyteDB 2.9: Pushing the Boundaries of Relational Databases

This morning we announced the latest release of the YugabyteDB open source database, YugabyteDB 2.9! This release introduces new capabilities that push the boundaries of relational databases further than ever before. Yugabyte pioneered distributed SQL databases that combine advanced RDBMS capabilities with the resilience, scale, and geo-distribution that cloud native applications demand. Over the years, we have continued to innovate with capabilities such as distributed transactional backups, YSQL tablespaces,

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Schema Versioning in YugabyteDB  Using Flyway

Schema Versioning in YugabyteDB Using Flyway

Introduction

As developers, many of us are aware of source versioning which helps us easily track and manage changes to the source code of our applications. Schema versioning is to databases what source versioning is to the applications. It helps track and manage the changes to the databases that our applications rely on.

In this blog post, we will talk about using Flyway – one of the most popular tools that simplify schema versioning for databases –

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Distributed SQL Tips and Tricks – August 18th, 2021

Distributed SQL Tips and Tricks – August 18th, 2021

Welcome back to our bi-weekly tips and tricks blog where I have the pleasure of recapping some distributed SQL questions from around the Internet. I had a month long hiatus this summer, so we are making it up by adding an extra entry into this week’s edition. As always, this blog series would not be possible without all of the behind the scenes work done by Yugabeings such as Dorian Hoxha and Frits Hoogland.

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Announcing DSS ’21: Third Annual Distributed SQL Summit

Announcing DSS ’21: Third Annual Distributed SQL Summit

We are delighted to announce that registration is now open for the third annual Distributed SQL Summit! DSS 2021 will happen on September 21-23, bringing together the YugabyteDB open source user community, customers, partners and industry thought leaders to explore opportunities and experiences of embracing modern cloud native data architectures. We are planning sessions and workshops that will dive into use cases, technologies, and best practices for adopting distributed SQL databases for any app at any scale across any cloud.

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Using Sequelize with YugabyteDB

Using Sequelize with YugabyteDB

Sequelize is a promise-based Node.js ORM tool that allows us to interact with databases using javascript instead of SQL. In simple terms, Object Relational Mapping is a process for accessing a relational database using object-oriented languages like javascript. For more information on the features in Sequelize, you can check out their documentation site.

Sequelize Node.js package already has support for databases like Postgres, MySQL, MariaDB, SQLite, and Microsoft SQL Server.

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