Which factors affect the durability and reliability of an Object Store?

Which factors affect the durability and reliability of an Object Store?

• A. One CloudHub worker.
• B. Multiple CloudHub workers.
• C. Both One and Multiple CloudHub workers.
• D. The data retention period.

Answer: (C)

Durability of an Object Store hinges on how and where the data is stored and whether it’s accessible across workers. In CloudHub, each worker has its own local store by default, so durability depends on whether that store is persistent. If you’re running a single worker and you enable a persistent Object Store, the data can survive restarts of that worker, giving good durability for that node. When you have multiple CloudHub workers, you gain reliability only if the Object Store is configured as a shared, persistent store that all workers can access. If the stores are not shared, each worker maintains its own copy, and a failure of one worker could result in data loss or unavailability for that data. So both single and multiple worker setups affect durability, depending on whether the storage is persistent and whether access is shared across workers. The data retention period is a separate setting that determines how long data remains in the store, not how reliably it can be recovered after failures.

Durability of an Object Store hinges on how and where the data is stored and whether it’s accessible across workers. In CloudHub, each worker has its own local store by default, so durability depends on whether that store is persistent. If you’re running a single worker and you enable a persistent Object Store, the data can survive restarts of that worker, giving good durability for that node. When you have multiple CloudHub workers, you gain reliability only if the Object Store is configured as a shared, persistent store that all workers can access. If the stores are not shared, each worker maintains its own copy, and a failure of one worker could result in data loss or unavailability for that data. So both single and multiple worker setups affect durability, depending on whether the storage is persistent and whether access is shared across workers. The data retention period is a separate setting that determines how long data remains in the store, not how reliably it can be recovered after failures.