Enterprise-grade distributed architecture
Meets high-availability requirements for large-scale datasets.
Distributed deployment and erasure coding keep object storage available while a set still meets read and write quorum. Scale-out adds pools. It does not promise unlimited fault tolerance or zero-downtime expansion.
Meets high-availability requirements for large-scale datasets.
Supports customized enterprise storage policies.
With erasure coding, reads and writes continue while the set still meets quorum. A documented 12+4 multi-node layout tolerates one server failure and up to four disk losses. EC:0 has no redundancy.
Improves cluster resilience and disaster recovery.
Balances storage efficiency and data reliability.
Matches workloads to best-practice configurations.
Supports data management from petabytes to exabytes.
Keeps disk utilization even across the cluster.
Add capacity as a new pool, keep existing pools unchanged, then restart and verify. Existing objects stay in place until rebalance. The runbook does not describe this as zero-downtime. Availability depends on remaining quorum.
Restores data after drive or node loss.
Helps maintain cluster data integrity.
Shows healing progress and cluster health.
Adds reliability and disaster recovery across sites.
Keeps data consistent across distributed sites.
Routes requests for lower access latency.