It depends on the remaining storage space and how much disk space you need to add your new application. Generally, at least you should have 20% of disk space available as of overall storage disk space utilization for smooth storage operations with seamless performance and availability. Then it is possible by using existing storage data management features like Inline deduplication, Compression, and Compaction to reclaim more disk space. There is another storage feature that creates a writable colon of existing storage volume They are space-efficient because they share the same data blocks with their parent volume.
All of these features come under storage efficiency; so, by using the storage efficiency feature you can add new applications without having to buy more storage space depending on how much disk space you have and what you need to create new application(s).
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This sounds like a marketing lead-in question to introduce you to their solution's money-saving features. Still, it's a good question for getting a sense of the strategies that can help your storage TCO. There are a bunch of tried and true ways to save on storage. The trick is, of course, to figure out which provider's particular strengths and price-point/TCO works best for your needs.
Data compression is a long-standing technique for reducing the amount of data by removing redundancies and can notably reduce your storage needs. But you need to know your data. Data compression is obviously going to work best for data types that are not natively compressed and files that are unencrypted. Good compression rates are a matter of opinion and subject to multiple factors, but a good starting point would be a 45 to 50 percent reduction. So there are definitely savings to be had with the right data and the right compression algorithm.
Deduplication is exactly what it sounds like, a technique for reducing the size of data by removing duplicate information. This technique can be particularly effective for data that is being backed up, as backup data often contains many duplicate files.
Another strategy, not so much for reducing storage size but storage cost, involves placing data on different types of storage media based on your access frequency and the data's importance. The most expensive (theoretically the fastest) storage media is used for the most important (or most accessed) data, while less important data is stored on slower, less expensive media.
Another approach is to reduce or even avoid overprovisioning by using thin provisioning. With this technique, storage space is allocated as needed. With ideal thin provisioning, if you understand your data trends (or you have a solution that understands them for you) you don't pre-allocate capacity that ends up sitting there unused. However, if performance/latency are paramount, it's important to know that thin provisioning may come with greater latency since all the storage space needed at a given moment may not necessarily have been allocated upfront (the way it is with thick provisioning).
Virtualization, while not strictly a storage-related strategy, allows multiple virtual servers to run on a single physical server, which can help to reduce the number of physical servers needed and therefore, help to reduce storage requirements. Of course, virtualization comes with its own overhead.
Depending on your environment and requirements, there may not be a "free lunch" available when it comes to storage and apps, but some of these methods are worth considering.
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All-Flash Storage solutions provide fast and reliable storage capabilities by using solid-state drives, catering to enterprises that demand high-speed data access and improved performance.
These storage systems are designed to eliminate the latency and reliability issues often associated with traditional HDD-based storage. They deliver consistent low-latency performance and are capable of handling demanding workloads, such as high-frequency trading, big data analytics, and large-scale...
It depends on the remaining storage space and how much disk space you need to add your new application. Generally, at least you should have 20% of disk space available as of overall storage disk space utilization for smooth storage operations with seamless performance and availability. Then it is possible by using existing storage data management features like Inline deduplication, Compression, and Compaction to reclaim more disk space.
There is another storage feature that creates a writable colon of existing storage volume They are space-efficient because they share the same data blocks with their parent volume.
All of these features come under storage efficiency; so, by using the storage efficiency feature you can add new applications without having to buy more storage space depending on how much disk space you have and what you need to create new application(s).
This sounds like a marketing lead-in question to introduce you to their solution's money-saving features. Still, it's a good question for getting a sense of the strategies that can help your storage TCO. There are a bunch of tried and true ways to save on storage. The trick is, of course, to figure out which provider's particular strengths and price-point/TCO works best for your needs.
Data compression is a long-standing technique for reducing the amount of data by removing redundancies and can notably reduce your storage needs. But you need to know your data. Data compression is obviously going to work best for data types that are not natively compressed and files that are unencrypted. Good compression rates are a matter of opinion and subject to multiple factors, but a good starting point would be a 45 to 50 percent reduction. So there are definitely savings to be had with the right data and the right compression algorithm.
Deduplication is exactly what it sounds like, a technique for reducing the size of data by removing duplicate information. This technique can be particularly effective for data that is being backed up, as backup data often contains many duplicate files.
Another strategy, not so much for reducing storage size but storage cost, involves placing data on different types of storage media based on your access frequency and the data's importance. The most expensive (theoretically the fastest) storage media is used for the most important (or most accessed) data, while less important data is stored on slower, less expensive media.
Another approach is to reduce or even avoid overprovisioning by using thin provisioning. With this technique, storage space is allocated as needed. With ideal thin provisioning, if you understand your data trends (or you have a solution that understands them for you) you don't pre-allocate capacity that ends up sitting there unused. However, if performance/latency are paramount, it's important to know that thin provisioning may come with greater latency since all the storage space needed at a given moment may not necessarily have been allocated upfront (the way it is with thick provisioning).
Virtualization, while not strictly a storage-related strategy, allows multiple virtual servers to run on a single physical server, which can help to reduce the number of physical servers needed and therefore, help to reduce storage requirements. Of course, virtualization comes with its own overhead.
Depending on your environment and requirements, there may not be a "free lunch" available when it comes to storage and apps, but some of these methods are worth considering.