OpenEBS
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| OpenEBS | |
|---|---|
| Name | OpenEBS |
| Developer | CNCF, MayaData |
| Initial release | 2017 |
| Written in | Go |
| Repository | GitHub |
| License | Apache License 2.0 |
OpenEBS is a cloud-native container storage solution designed to provide persistent block and file storage for containerized workloads on orchestration platforms. It focuses on per-container storage control, data locality, and integration with storage ecosystems and cloud providers. The project is associated with cloud-native organizations and contributors from storage, virtualization, and cloud platforms.
Overview
OpenEBS originated in the context of container orchestration and persistent storage challenges on platforms such as Kubernetes, Docker Swarm, and Apache Mesos. It addresses stateful application demands arising from systems like MySQL, PostgreSQL, MongoDB, Elasticsearch and Cassandra. The project aligns with practices promoted by the Cloud Native Computing Foundation and interacts with storage standards and protocols including iSCSI, NVMe, Container Storage Interface, and Rook. Contributors come from enterprises and projects such as MayaData, Red Hat, Google, Amazon Web Services, and Microsoft Azure.
Architecture
The architecture centers on container-attached storage delivered through sidecar containers and storage engine containers orchestrated by Kubernetes. Control plane components integrate with APIs from Kubernetes API. Data plane components run as containers on nodes, working closely with kernel modules and interfaces like iSCSI targets and NVMe over Fabrics. Storage engines include implementations optimized for local persistent volumes, replication, and snapshots, and can interoperate with distributed file systems such as Ceph, GlusterFS, and ZFS. The design references patterns from Linux, systemd, and Container Network Interface projects, and complements tooling like Helm (software), Prometheus, Grafana, and CNI Plugin ecosystems.
Features
OpenEBS provides features for containerized workloads including per-volume policies, multi-tenancy controls, snapshotting, and cloning capabilities used by Kubernetes StatefulSet and PersistentVolumeClaim workflows. It supports storage drivers compatible with CSI (Container Storage Interface), and integrates with observability stacks like Prometheus and Grafana for metrics and with tracing systems inspired by Jaeger (software). Data protection features map to patterns used in systems such as Velero (backup tool), etcd, Consul (software), and Ceph Block Device. Security and access control can interact with identity systems like OpenID Connect providers and Keycloak deployments.
Deployment and Integration
Deployment typically uses manifests and charts from Helm (software) and operators similar to the Operator pattern used by Red Hat OpenShift and Amazon EKS. Integration points include cloud provider services such as Amazon Web Services, Google Cloud Platform, Microsoft Azure, and on-premises virtualization platforms like VMware vSphere. OpenEBS integrates with CI/CD systems such as Jenkins, GitLab, and Tekton pipelines, and with infrastructure-as-code tools like Terraform (software), Ansible, and Pulumi for reproducible deployments. Backup and disaster recovery workflows align with orchestrators and tooling from Velero (backup tool) and storage replication frameworks used by DRBD and Zerto.
Performance and Scalability
Performance tuning leverages device technologies like SSD, NVMe, and host filesystems like XFS and EXT4. Scalability patterns draw on practices from distributed databases such as Cassandra (database), distributed queues like Apache Kafka, and distributed coordination tools like etcd and ZooKeeper. Benchmarks often compare OpenEBS configurations against block storage offerings from Amazon EBS, Google Persistent Disk, and Azure Disk Storage as well as software storage projects including Ceph and Longhorn (software). Observability and performance debugging are commonly performed with Prometheus metrics, Grafana dashboards, and profiling tools like bcc (software) and eBPF tooling.
Use Cases
Typical use cases include running stateful services such as MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, and Cassandra on Kubernetes clusters; providing persistent storage for CI/CD runners like Jenkins and GitLab CI; enabling cloud migration patterns between AWS, GCP, and Azure environments; supporting multi-tenant platform teams in Red Hat OpenShift and Rancher deployments; and accelerating data services for analytics stacks involving Apache Spark, Apache Flink, and Presto.
Development and Community
Development occurs on collaborative platforms such as GitHub and follows contribution workflows similar to large open-source projects like Linux kernel and Kubernetes itself. Governance involves maintainers and contributors from firms including MayaData, cloud vendors like Google and Amazon Web Services, and organizations affiliated with the Cloud Native Computing Foundation. The community participates in events and conferences such as KubeCon, CloudNativeCon, Open Source Summit, and regional meetups. Documentation, tutorials, and automated testing integrate with CI systems such as Travis CI, CircleCI, and GitHub Actions.