In previous articles, Part 1 and Part 2, the knowledge required for data reduction has been introduced. The main topic of this article will be analyzing the choice of storage deployment strategies. To summarize the key points mentioned in the first article, one storage device can only be selected from two factors: “Software Feature”, “Performance”, and “Cost”. In the following paragraphs, we will analyze these three different situations in sequence.
Condition 1: Require Robust Performance and Convenient Software Features
When robust performance and powerful software features are required, it means that your business should be as critical as a data center or MSP (Managed Service Provider). Since performance is required, the storage must be powerful enough both in terms of software and performance. Therefore, the cost of the storage device would be higher.
In this case, it is not recommended to apply data reduction. Since data reduction might cause performance degradation, the intense workload might slow down.
Condition 2: Require Limited Budget and Robust Performance
In this case, storage deployment should be simple and the data need not be highly protected because it might be less protected in limited budget. For example, large-scale surveillance is the most representative scenario of this situation. It requires high throughput to handle large amounts of video streaming. In this scenario, performance and budget are highly considered.
Although data reduction may help reduce business overhead. Applications may often generate numerous data that need to be retained. Thus, applying data reduction is recommended.
Condition 3: Require Limited Budget and Convenient Software Features
In this case, the enterprise might have a complex storage access control environment, complete data protection, or data reduction features. For small media studios or SMBs may fall into this category. The organization’s data might grow exponentially. Thus, compression and deduplication can be suitable to overcome the sticky situation.
Data Reduction Policy Impact
Implementing a data reduction policy can significantly alleviate cost concerns for enterprises. By efficiently managing storage through technologies such as compression and deduplication, enterprises can maximize storage utilization and reduce the need for additional hardware. This empowers organizations to focus more on performance and software features without being overly constrained by budget, ultimately resulting in a more cost-effective and scalable storage solution.
We break down the analysis process into three key parts: evaluating the performance of a storage device, understanding its software capabilities, and considering cost implications. This comprehensive analysis ensures that you make an informed decision that meets the above requirements.
We explore different application scenarios and customize recommendations based on budget considerations and specific needs. Whether you’re a high workload enterprise seeking cutting-edge solutions or a small to medium-sized business looking for cost-effective alternatives, we provide guidance on selecting the right storage.
Conclusion
In the final part of our Storage Efficiency series, we covered the basics, explored data efficiency technologies, and now provide you with the knowledge to choose the right storage system. By combining these elements, enterprises can build a storage infrastructure that is not only efficient but also adaptable to the dynamic environment of data management. Stay tuned for more insights into the evolving world of technology and data.
