As a distributed cloud-native transactional database with always-on availability and on-demand scaling, YugabyteDB is the ideal fit for containerized applications powered by Kubernetes. We have continued to invest in YugabyteDB on Kubernetes, making great strides and seeing significant customer successes. This blog explores the latest updates.
The enhanced YugabyteDB Kubernetes Operator significantly simplifies the deployment, management, and scaling of YugabyteDB in cloud-native environments. Discover how it automates complex operations to enhance reliability and allows developers and operations teams to focus more on development and less on infrastructure management.
YugabyteDB offers multiple options for backup and restore. This blog specifically focuses on using MinIO – a simple and hassle-free option.
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:
But should you run a distributed SQL database in Kubernetes?
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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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Learn how to integrate Temporal and Maru with the YugabyteDB database to run sample workflows and operate resilient applications using developer-friendly primitives.
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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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:
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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 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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