The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

Using GORM with YugabyteDB

GORM is an Object Relational Mapping (ORM) library for Golang. ORM converts data between incompatible type systems using object-oriented programming languages. An ORM library is a library that implements this technique and provides an object-oriented layer between relational databases and object-oriented programming languages.

In this blog post, we’ll show you how to:

  • Start a YugabyteDB cluster on your local Engine.

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Using Ebean ORM with YugabyteDB

Ebean is a Java-based Object–Relational Mapping (ORM) application. It is more user-friendly and understandable than traditional ORM tools, such as Hibernate. It achieves this by employing a session-less design that eliminates the concepts of detached/attached beans as well as the difficulties related with flushing/clearing.

Even better, Ebean supports YugabyteDB, a 100% open source, distributed SQL database built to accelerate cloud native agility,

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Automation Workflows: Using GitOps for YugabyteDB with Argo CD and Helm

GitOps is an operational framework for declarative-driven systems such as Kubernetes. More specifically, it provides a set of best practices that converge the runtime state of the services with the declarative state defined in Git. On the other hand, Argo CD is a declarative, continuous delivery tool for Kubernetes. Argo CD follows the GitOps pattern of using Git repositories as the source of truth for defining the desired application state.

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Getting Started with YugabyteDB, Temporal, and the Temporal-Maru Benchmarking Tool

“Does YugabyteDB integrate with temporal.io?” is a common question from developers. Temporal enables technologists to build highly reliable applications without having to worry about all the edge cases. Developers use Temporal not just because it is an open-source solution. They also use it to build workflows in code and operate resilient applications using developer-friendly primitives.

Temporal supports independent horizontal scaling of each of the Temporal Server services: Frontend,

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Distributed SQL Tips and Tricks – November 2nd, 2021

Welcome back to our tips and tricks blog! With October officially a wrap, I have the pleasure of recapping some distributed SQL questions from around the Internet. There was no Tips and Tricks edition for September as the Yugabyte team was focused on our 2021 Distributed SQL Summit. If you did not have a chance to check it out, you can view the sessions on-demand here.

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Introducing Yugabyte Cloud – Effortless Distributed SQL

Yugabyte Cloud unlocks the power of “any” – allowing organizations to run any app at any scale, anywhere, accessible at any time and running in any cloud. In the keynote of the Distributed SQL Summit 2021, we announced the general availability of Yugabyte Cloud to make “any” feel effortless.

Yugabyte Cloud is a fully managed offering of YugabyteDB.

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Distributed SQL Change Management Using Liquibase-Yugabyte Extension

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,

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Connecting a Spring Boot Application to Yugabyte Cloud and Deploying It to Kubernetes on minikube

Spring Boot is one of the most popular frameworks for building cloud native applications. It makes configuring an application easy and offers tons 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.

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

Spring Boot is one of the most popular frameworks for building cloud native applications. It makes configuring an application easy and offers tons 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.

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