An open-source container native storage platform providing persistent storage for stateful applications on Kubernetes.
OpenEBS is an open-source Container Native Storage solution that provides persistent storage for Kubernetes workloads. It enables dynamic provisioning of storage resources using containerized storage controllers and supports various storage engines, including LocalPVs for direct node storage and Mayastor for multi-node replicated storage. It is designed to integrate seamlessly with Kubernetes, offering features like storage policies, resize, thin-provisioning, snapshots, and restore capabilities.
Kubernetes administrators and DevOps engineers managing stateful applications that require persistent storage, from developer environments to enterprise production deployments. It is also suitable for users of specific storage backends like ZFS or LVM2 seeking cloud-native integration.
Developers choose OpenEBS for its cloud-native architecture that avoids vendor lock-in by abstracting storage management, allowing data to move freely across on-premises and cloud Kubernetes environments. It offers cost efficiency through thin provisioning and dynamic allocation, and high availability with lower operational blast radius through synchronous data replication across multiple nodes.
A popular & widely deployed Open Source Container Native Storage platform for Stateful Persistent Applications on Kubernetes.
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Designed to integrate seamlessly with Kubernetes, most engines are CSI compliant, ensuring standard compatibility and ease of use, as emphasized in the overview.
Offers LocalPV for single-node storage and Mayastor for replicated storage, catering to diverse workloads from development to enterprise production, as detailed in the comparative table.
Features thin provisioning and dynamic allocation, reducing storage waste and allowing on-the-fly expansion, which lowers overhead and costs, as highlighted in the value proposition.
Mayastor provides synchronous data replication across nodes, ensuring high availability and durability while minimizing blast radius during failures, as noted in the philosophy section.
With multiple engines like LocalPV Hostpath, ZFS, LVM, and Mayastor, users must carefully evaluate use cases, which can be overwhelming and lead to suboptimal choices without deep expertise.
Mayastor requires sufficient CPU, RAM, and NVMe resources for optimal performance, making it unsuitable for resource-constrained clusters, as acknowledged in the limitations section.
LocalPV engines lack high availability; node failures result in data unavailability, limiting their use for critical workloads, as explicitly stated in the comparison table.