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?
…
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?
…
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,
…
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.
…
In this blog, we’ll build an Apache Airflow workflow that will migrate data between PostgreSQL and YugabyteDB.
Choosing YugabyteDB for Apache Airflow deployments streamlines database management and enhances system reliability. Its high availability and fault tolerance features negate the need for complex failover strategies associated with PostgreSQ. In this blog you will lean how to configure Airflow to use YugabyteDB.
Microsoft’s Azure Kubernetes Service (AKS) offers a highly available, secure, and fully managed Kubernetes service for developers looking to host their applications on containers in the cloud. AKS features elastic provisioning, an integrated developer experience for rapid application development, enterprise security features, and the most available regions of any cloud provider.
YugabyteDB is a natural fit for AKS because it was designed to support cloud native environments since its initial design.
…
The glory days of the heavy-weight hypervisor are slowly fading away, and in the last few years, containerization of applications and services is the new reality. With containerization, enterprises can prototype, deploy, and meet scale demands more quickly. To systematically and efficiently manage these large-scale deployments, enterprises have bet on technologies like Kubernetes (aka k8s), a powerful container orchestrator, to get the job done. Kubernetes was originally developed by Google, but it has been open sourced since 2014 and is today developed by a large community of contributors.
…