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Category: Kubernetes

Five Benefits to Running a Distributed SQL Database in Kubernetes

Five Benefits to Running a Distributed SQL Database in Kubernetes

A distributed SQL database is a single logical relational database deployed on a cluster of servers. The database automatically replicates and distributes data across multiple servers. These databases are strongly consistent and support consistency across availability and geographic zones in the cloud.

At a minimum, a distributed SQL database has the following characteristics:

  • A SQL API for accessing and manipulating data and objects
  • Automatic distribution of data across nodes in a cluster
  • Automatic replication of data in a strongly consistent manner
  • Support for distributed query execution so clients do not need to know about the underlying distribution of data
  • Support for distributed ACID transactions

But should you run a distributed SQL database in Kubernetes?

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Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

The evolution of “build once, run anywhere” containers and Kubernetes—a cloud-agnostic, declarative-driven orchestration API—have made a scalable, self-service platform layer a reality. Even though it is not a one size fits all solution, a majority of business and technical challenges are being addressed. Kubernetes as the common denominator gives scalability, resiliency, and agility to internet-scale applications on various clouds in a predictable, consistent manner. But what good is application layer scalability if the data is still confined to a single vertically scalable server that can’t exceed a predefined limit?

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Connecting a Spring Boot Application to YugabyteDB Managed and Deploying It to Kubernetes on minikube

Connecting a Spring Boot Application to YugabyteDB Managed 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.

YugabyteDB Managed (formerly Yugabyte Cloud) is Yugabyte’s DB-as-a-service and is a perfect match for Spring Boot applications,

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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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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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Multi-Region YugabyteDB Deployments on Kubernetes with Istio

Multi-Region YugabyteDB Deployments on Kubernetes with Istio

This blog post is written by guest author Bhavin Gandhi, Software Engineer at InfraCloud Technologies, Inc., in collaboration with teams at Yugabyte. InfraCloud helps startups, SMBs, and enterprises scale by adopting cloud native technologies.

As organizations deploy applications across multiple cloud regions to better meet user demand and comply with regulations such as GDPR, there is a need to distribute data across geographic regions.

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Distributed SQL Databases on Kubernetes Webinar Recap

Distributed SQL Databases on Kubernetes Webinar Recap

We recently presented the live webinar on how to run distributed SQL databases on Kubernetes. This session focused on the design of stateful workloads in Kubernetes, the architecture and deployment of YugabyteDB in Kubernetes, and best practices to run cloud native stateful workloads with a real-world example.

In this blog post, we provide the playback recording and slides, and recap some highlights from the presentation.

If you have additional questions about running the YugabyteDB distributed SQL database on Kubernetes,

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