Certain applications feature a natural affinity with the IBM FlashSystem 900. These  applications include applications that feature a low tolerance to latency, are I/O per second  (IOPS) intense (or bound), and must scale in size and performance. These types of  applications are key candidates for the IBM FlashSystem 900 because of their sometimes  unique requirements for storage needs.  A set of applications are available that especially benefit from the FlashSystem solutions. The  following applications are ideal candidates for IBM FlashSystem storage: In this chapter, we briefly describe how the IBM FlashSystem 900 can provide value for the  special challenges of these applications.  OLTP applications often rely on a database that must serve the application quickly. In OTLP,  parallelism allows the application to run as many transactions as possible at the same time.  From a storage perspective, too many parallel I/O requests can be challenging because the  parallelism limitation of traditional storage is directly related to its number of disks.  Because the IBM FlashSystem 900 is not limited by mechanical disk, an application’s reach to  a new level of parallelism is no longer limited. Applications also can run up to 10x or 20x more  transactions in up to one-third of the time, on average. The IBM FlashSystem 900 allows databases to run more operations, on average up to more  than 10x because of the extreme performance. More transactions can occur in less time  because of IBM MicroLatency benefits. Data can be collected and analyzed to see the IBM FlashSystem 900benefits. For IBM DB2,  performance can be measured by extracting a DB2 MONREPORT. In an Oracle database,  you can use an Automatic Workload Repository (AWR) report. OLAP applications are important for the business environment because OLAP is a key player  in various business intelligence (BI) tools. In many industries, OLAP is increasingly taking a  more important role.  Because the business environment is more complex, decisions increasingly rely on results  from BI tools. BI provides the decision maker the opportunity to have a broader vision of the  market. Response time makes a significant difference. In OLAP, it is even more evident. A  decision that is made faster can help position you better in the market. A delayed response  might cause a significant negative effect to your business.  OLAP applications use a mathematics model to predict and calculate behavior, which  requires accessing a large amount of data ( big data ) is necessary. It is in this process where  FlashSystem is a “game changer” for organizations.  398  Implementing IBM FlashSystem 900 Model AE3 Online analytical processing Online transaction processing GLYPH<SM590000> Online transaction processing (OLTP) GLYPH<SM590000> Online analytical processing (OLAP) GLYPH<SM590000> Virtual desktop infrastructure (VDI) GLYPH<SM590000> Cloud-scale infrastructure GLYPH<SM590000> Computational applications 11.1 Use cases introduction