Cloud Native ComputingDevelopersNewsOpen Source

Red Hat OpenShift Container Storage 4.5 Delivers Kubernetes-Based Data Services


Red Hat has announced the release of Red Hat OpenShift Container Storage 4.5, which delivers Kubernetes-based data services for modern, cloud-native applications across the open hybrid cloud.

The latest version of Red Hat OpenShift Container Storage is tightly integrated with Red Hat OpenShift Container Platform. It is claimed to offer a new external mode deployment option with Red Hat Ceph Storage to deliver enhanced scalability of more than 10 billion objects, without compromising performance.

With integrated support for object, file and block storage, Red Hat OpenShift Container Storage 4.5 can support all data types commonly used in container-based applications, all within a single control planeā€”helping reduce complexity and increasing choice for customers. In addition, the Rook operator for Red Hat Ceph Storage further enhances the manageability of the platform.

Red Hat OpenShift Container Storage 4.5 supports integrated Amazon S3 bucket notifications, enabling users to create an automated data pipeline to ingest, catalog, route and process data in real time. With the ability to create notification-driven architectures, and integrated access to Red Hat AMQ Streams and OpenShift Serverless, organizations can realize the efficiency of automated data pipelines.

Red Hat OpenShift Container Storage 4.5 provides organizations more granular control over the extent to which they can decouple compute from storage, helping support a wide range of workloads from latency-sensitive databases to scalable data warehouses and data lakes.

Artificial intelligence architectures, focused on inferencing and modeling, can benefit from decoupling, while machine learning architectures can benefit from more tightly coupled storage for high performance data ingest and model training.

Red Hat OpenShift Container Storage 4.5 is now generally available.

Grafana Metrics Enterprise Offers Enterprises A Cost-Effective Way To Run Prometheus At Scale

Previous article

TrilioVault For Kubernetes Now Available With IBM Cloud Paks

Next article
Login/Sign up