Executive summary
This abstracted case study documents completed professional Ceph work, not a planned lab exercise. The approved public scope is an eight-node Ceph environment with approximately 100–200 TB of raw capacity.
The environment supported VMware storage, backups, historical archive, and retention needs. Customer, facility, topology, node identity, network, and access details are intentionally excluded.
Context
- Role
- Infrastructure and storage operations
Problem
Operate distributed storage supporting VMware storage, backup workflows, historical archive, and retention requirements while maintaining capacity and health visibility.
Constraints
- Customer, employer, facility, node identity, network, failure-domain, and access details remain private.
- Capacity is published only as an approved aggregate range.
Architecture
The completed professional environment comprised eight Ceph nodes and approximately 100–200 TB of raw capacity. It supported VMware storage, backups, historical archive, and retention workflows; underlying topology remains abstracted.
Responsibilities
- Support Ceph-backed storage operations, health visibility, and capacity awareness.
- Work within backup, archive, retention, and VMware storage requirements.
Implementation
Completed professional work covered an eight-node Ceph environment in the approximately 100–200 TB raw-capacity range, with operational use across VMware storage, backups, historical archive, and retention.
Operational considerations
- Ceph health, available capacity, recovery behavior, backup needs, archive duration, and retention requirements shaped day-to-day decisions.
Security considerations
- Omit infrastructure identifiers, access procedures, customer context, and network or failure-domain specifics.
- Publish only approved aggregate scale and service context.
Results
- Completed professional experience operating within an eight-node Ceph environment.
- Worked with approximately 100–200 TB of raw Ceph capacity supporting VMware storage, backups, historical archive, and retention.
Trade-offs
- Abstracting topology and operating detail protects private infrastructure while retaining credible aggregate scale and workload context.
Lessons learned
- Capacity planning must account for replication, recovery headroom, backup demand, archive growth, and retention—not raw capacity alone.
Next iteration
- Keep public details limited to approved aggregates as the case study completes editorial review.