Your storage environment is critical for your organization. Basically, it’s the brains of the operation. All-flash arrays have been making an impact on the market as they offer a new way to optimize critical workloads.
Many times databases, heavy data sets, or complex applications take up a lot of IO when it comes to storage requirements. Trends indicate that there will only be more users, data and applications to manage moving forward. One of those critical systems revolves around an Oracle infrastructure. So how can you optimize your data base storage capabilities? What can you do to have optimal performance around your Oracle infrastructure?
In this Performance Benchmark whitepaper from Hitachi, we look at performance results around an Oracle instance sitting on a HUS VM All Flash array.
There are eight key aspects to the results and understanding the benchmarks. They include:
- System Configuration
- Introduction to Storage Performance Tests
- Storage Benchmark Results – Sequential IO
- Storage Benchmark Results – Random IO
- Introduction to Database Performance Tests
- Database Benchmark Results – Database Load
- Database Benchmark Results – OLTP Transactions
- Reviewing Storage and Database Benchmark Results
So, why measure storage performance? Storage performance is essential not only for overall Oracle database performance, but for system management tasks like backup, recovery and archiving.
Download this whitepaper today to learn the power of the Hitachi HUS VM All Flash array. This type of storage model pulls together the best of all storage worlds including:
- Seamless integration in existing SAN infrastructures
- Proven scalability and performance for all workloads
- Extremely high IO throughput with microseconds service time
- Highly efficient DRAM storage cache in addition to flash technology
- Rich and mature storage management software portfolio (cloning, snapshots, replication, dynamic provision, dynamic tiering etc.)
The idea is to close the gap around IO. The HUS VM All Flash Array reduces the IO gap and allows Oracle platforms to fully utilize CPU capacity without waiting for IO operations. Ultimately, this helps by increasing server CPU utilization, improves return on assets for customers, and lowers CAPEX for server platforms.