What's a potential problem when object storage versus volume storage is used within IaaS for application use and dependency?
What's a potential problem when object storage versus volume storage is used within IaaS for application use and dependency?
Object storage operates independently and handles data replication to manage consistency. This means that there could be a delay while data is being replicated across different locations, which can be a potential issue for applications reliant on immediate data consistency. Unlike volume storage that might provide consistent disk-like behavior, object storage's consistency depends heavily on its replication process.
B. Object storage is its own system, and data consistency depends on replication.
Why Not the Others? A. Object storage is only optimized for small files. → Incorrect. Object storage is designed for large-scale unstructured data, making it suitable for storing massive files like images, videos, and backups. C. Object storage may have availability issues. → Incorrect. Cloud providers design object storage for high availability using replication across multiple zones/regions. D. Object storage is dependent on access control from the host server. → Incorrect. Object storage uses cloud-based authentication (IAM, ACLs, bucket policies) rather than depending on a specific host server.
In an IaaS environment, object storage operates as an independent system separate from traditional file and block storage. Unlike volume storage, which is directly attached to virtual machines and maintains strong consistency, object storage typically follows an eventual consistency model, where data availability and consistency depend on replication across multiple nodes or regions. This can cause latency or inconsistency issues in applications that require real-time access and immediate consistency.