Hybrid cloud storage
For hybrid cloud storage, most of the data resides in the private part of the cloud. If the applications are also deployed within the private cloud, the data warehouse can store files and data for these applications, this should be the highest performing storage system within your entire hybrid cloud storage strategy.
It’s all about time and money
Cloud and on-premises data persistence costs are now so cheap that using secondary, even tertiary, data storage as an active backup for primary persistence, or even as a fresh copy of primary storage, is the best approach. With some exceptions.
In the hybrid cloud storage strategy, the secondary storage system exists in the public cloud. The data is replicated or moved to a public cloud storage system, my preference is like Amazon Web Services (AWS) simple storage service, to provide an active backup for the primary storage system. In other cases, a business might move older data to the public cloud to free up space in primary storage. AWS Glacier would be a great example.
If a secondary storage system is used to store data moved from the primary storage, be sure to design your applications to look up data on both storage systems.
triple
Archived storage is optional, but triple redundancy is always a good idea. Again, and above all, with the low cost of storage. Then why not? Archive storage systems are low-cost, low-performance systems designed for long-term storage of data that is no longer required for core business processes or to support other backup systems. AWS Glacier, for example, is designed for file storage features. In my industry, pharmaceutical track/trace/serialization, data archiving is required for six years.
Hybrid cloud and tiered storage
Using a hybrid cloud for a tiered data storage architecture offers several benefits to a business. First, because it sets up two, even three, separate storage systems, all at different price and performance levels. Second, storage tiering helps developers and IT create application-specific storage strategies. For example, some data analysis systems interact almost exclusively with the most current data. As a result, an organization could move older data to cheaper systems.
In addition, cloud tiering creates a backup environment that spans two separate platforms (public and private cloud) to provide geographically separated automatic redundancy. Finally, tiered storage in the hybrid cloud should reduce the risk of data loss, caused by disk failure or human error, to near zero.
The challenge, however, is creating a tiered storage strategy that takes into account all enterprise use cases and adequately serves business processes. For example, in data analysis, the system may need to support other use cases, such as fraud detection through machine learning.
Companies must carefully design and plan both their tiered storage architecture and their automation processes. As with anything, test, test, test to ensure that your hybrid tiered storage system meets your requirements and expectations.
As always – Stay cloudy