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.
Disaster recovery is streamlined with YugabyteDB 2.21, introducing industry-first native orchestration features to ensure your data stays safe and readily accessible in today’s volatile cloud environments. This update not only simplifies resilience with the native xCluster DR but also supports database modernization and risk reduction through advanced isolation levels and Kubernetes Operator.
Introducing YugabyteDB 2.18! Accelerate data modernization with new cloud-native features, multi-region Kubernetes support, and simplified operations through YugabyteDB Anywhere’s enhanced automation and intelligence.
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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YugabyteDB is the distributed SQL database of choice for building mission-critical microservices that deliver new customer experiences, improve operations, and drive innovation. We aim to make your experience of deploying and running YugabyteDB on any infrastructure seamless, be it Kubernetes, VMs, or bare metal across private, public, and hybrid cloud environments.
With our latest release, YugabyteDB 2.7, we have added updates to give developers the scalability and resilience they need from systems of record for their microservices.
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In this blog, we’ll build an Apache Airflow workflow that will migrate data between PostgreSQL and YugabyteDB.
