"Cloud block storage allows organisations to run applications that depend on high throughput and low latency in the cloud. The latest block storage offerings make use of the cloud's advantages, without sacrificing performance. Such offerings allow customers to run applications in the cloud and use block storage there, such as proof-of-concept projects before they're rolled out on-premise. But they also allow customers to use the same kind of storage in the cloud as they do on-prem"
"Block storage in the enterprise is usually provided by storage area network (SAN) hardware and most often associated with storage for databases, and enterprise applications built on database technology. But it is also used for storage in analytics and increasingly, machine learning and artificial intelligence (AI). Virtual machines and containerised application are another core application, as is the provision of temporary, high-performance storage for tasks such as caching."
Cloud block storage enables organisations to run applications requiring high throughput and low latency in the cloud. Latest offerings leverage cloud advantages without sacrificing performance. Customers can run proof-of-concept projects in the cloud or mirror on-premise storage to enable cloud bursting during peak demand. Block storage is traditionally provided by SAN hardware for databases and enterprise applications, and is increasingly used for analytics, machine learning and AI. Virtual machines, containerised applications, and temporary high-performance tasks such as caching also rely on block storage. Cloud providers have invested to narrow performance gaps; cloud block storage can exceed local performance while adding scalability, tiering, immutable snapshots and geo-replication for resilience.
Read at ComputerWeekly.com
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