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OpenEBS

OpenEBS is an open-source Kubernetes-native storage platform (cloud-native storage) that delivers persistent block and file storage for containerized workloads using container-attached storage patterns.

  • Container-attached storage for Kubernetes workloads (cloud-native storage)
  • Dynamic provisioning of persistent volumes using Kubernetes constructs (storage orchestration)
  • Support for multiple storage engines for diverse performance and data protection needs (storage engines)
  • Policy-driven management of storage at the Kubernetes namespace and application level (storage governance)
  • Integration with the Cloud Native Computing Foundation ecosystem as a sandbox project (CNCF ecosystem)

More About Openebs

OpenEBS is a Kubernetes-native storage platform (cloud-native storage) that provides persistent storage for containerized applications by implementing a container-attached storage architecture. It is hosted as a sandbox project within the Cloud Native Computing Foundation (CNCF) and is designed around Kubernetes concepts such as pods, persistent volume claims (PVCs), and storage classes. The project targets environments where storage needs to be managed and consumed using the same declarative, API-driven model that Kubernetes applies to compute and networking.

The core purpose of OpenEBS is to deliver persistent block and file storage (data storage) for stateful workloads running on Kubernetes clusters. It treats storage as a set of microservices deployed per application or per node, rather than relying on a monolithic external storage array. This container-attached approach allows storage resources and data management functions to be expressed through Kubernetes primitives, enabling dynamic volume provisioning, scaling, and lifecycle operations in line with application deployments.

OpenEBS supports multiple storage engines (storage engines), which are pluggable data engines that implement different performance, availability, and resilience characteristics. These storage engines can target local disks on Kubernetes worker nodes or external storage systems, depending on the deployment pattern described in project materials. By offering more than one engine, OpenEBS can be configured for workloads that prioritize factors such as performance, replication, or capacity utilization, while still presenting standard Kubernetes persistent volumes to applications.

In enterprise environments, OpenEBS is used to provide persistent volumes (storage orchestration) for databases, message queues, caching layers, and other stateful services running on Kubernetes. Operations teams can define storage classes and policies that control replication, backup integration, and other data management parameters, and developers can request storage using PVCs without direct interaction with underlying storage infrastructure. This model aligns storage provisioning and governance with existing Kubernetes workflows used for application deployment and scaling.

Technically, OpenEBS integrates with the Kubernetes Control Plane (KCP) (Kubernetes ecosystem) through standard interfaces such as the Container Storage Interface (CSI) where applicable, enabling compatibility with Kubernetes releases and distributions that support CSI-based storage plugins. It uses Kubernetes custom resources and controllers (Kubernetes operators) to manage the lifecycle of storage components, including volume creation, attachment, and deletion. The project documentation positions OpenEBS within the cloud-native storage category, interoperating with other CNCF ecosystem projects through Kubernetes APIs and standard interfaces.

For directory and taxonomy purposes, OpenEBS can be categorized as a Kubernetes-native storage platform providing container-attached storage (cloud-native storage), implementing storage orchestration (infrastructure automation) for persistent volumes, and operating as part of the CNCF cloud-native ecosystem. Its focus is on enabling Kubernetes operators and platform teams to manage stateful workloads using Kubernetes-native patterns while abstracting the complexity of underlying disks or storage backends.