Ceph

Ceph is an open-source distributed storage platform that provides object, block, and file storage from one broader storage system.

Website:

• ceph.io
• Ceph documentation

Information

Ceph is often chosen when teams need scalable storage with strong flexibility across several access models.

It is relevant for:

• infrastructure platforms,
• OpenStack environments,
• Kubernetes storage backends,
• object storage services,
• private cloud storage,
• large on-premise or hybrid storage clusters.

Main functionalities and features

• Object storage: RADOS Gateway can expose object storage interfaces,
• Block storage: RBD is often used for virtual machines and containers,
• File storage: CephFS provides distributed file system capabilities,
• Scale-out design: built for distributed clusters,
• Self-healing orientation: designed for replication and recovery behavior,
• Open ecosystem: commonly integrated with other open infrastructure stacks.

Important concepts

RADOS

RADOS is the underlying distributed object store foundation of Ceph.

RBD

RBD provides block devices that are commonly consumed by virtualization or container platforms.

CephFS

CephFS exposes a distributed file system when a shared file-oriented access model is needed.

RADOS Gateway

The gateway exposes object storage access, often with S3-compatible patterns in practical environments.

When it can be useful

Ceph can be a strong fit when:

• you need one storage platform for several access styles,
• storage should scale horizontally,
• the environment is open-infrastructure oriented,
• workloads include VM, container, and object-storage needs,
• teams are ready for serious storage operations.

Typical use cases:

• OpenStack block and object storage,
• Kubernetes dynamic volumes,
• internal object storage,
• large distributed storage clusters,
• infrastructure platforms that need flexibility instead of only one storage interface.

Getting started

For a practical first step:

1. define whether the real need is object, block, file, or a combination,
2. start with a small lab or non-critical environment,
3. validate hardware, networking, and failure-domain design,
4. test performance, replication, recovery, and operational procedures,
5. document ownership for upgrades, balancing, capacity, and incident handling.

Early evaluation questions:

• which access type matters most,
• what failure tolerance is required,
• how many nodes and disks are realistic,
• what latency and throughput targets exist,
• how backup and disaster recovery work,
• whether the team is prepared for storage-platform operations.

Tips and tricks

• Treat Ceph as a storage platform, not a quick checkbox feature.
• Keep hardware, network, and capacity design explicit from the beginning.
• Validate recovery and rebalance behavior, not only happy-path throughput.
• Separate experimental and production expectations.
• Monitor storage health, latency, capacity growth, placement behavior, and recovery pressure continuously.
• Use it where its flexibility matters; avoid unnecessary complexity for small simple environments.

Things to watch

• Ceph can be excellent, but it is not lightweight to operate.
• Storage failures surface under pressure, so design and testing quality matter.
• Performance depends heavily on hardware, network, and workload profile.
• Capacity planning and repair workflows should be rehearsed before production dependence grows.

Where it fits best

Ceph fits best for:

• larger open infrastructure platforms,
• private cloud storage,
• environments that need object, block, and file capabilities,
• teams with strong operational discipline.

It is less ideal when:

• storage needs are small and simple,
• the team lacks storage operations ownership,
• a simpler managed storage option is acceptable.

See also

• OpenStack
• Kubernetes
• MinIO
• Terraform
• Ceph