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Performance

Optimizing Business-critical Workloads

The proliferation of mobile applications, social networking, business applications and analytics — combined with exponential data growth — is driving the need for faster processing with high I/O performance and reduced response times. For all of its benefits, a storage solution that applies a common disk medium across multiple, diverse applications cannot deliver appropriate response times, sometimes sacrificing performance for economy. While flash storage is the leading technology for turbocharging I/O-intensive applications by delivering low latencies and ultra-fast response times, it’s less cost-efficient for cold data.
 

Flash Optimization of Business-critical Workloads

With increasing data growth and pressure on data centers to efficiently handle diverse types of application workloads, a traditional “one size fits all” strategy for storage design no longer works. Understanding how flash technologies can meet your workload requirements can offer insight for designing a scale-out or scale-up, workload-driven storage architecture.
 

Business-critical Workload Requirements

Organizations rely heavily on business-critical, IOPS-hungry workloads to run key operations and stay profitable, while budgets and resources call for a cost-efficient, self-managing storage solution. Your storage solution can meet I/O workload demands and performance by:
  • Efficiently spanning both hot and cold data, optimizing for performance and value based on specific workload requirements
  • Monitoring I/O workloads to match the right media with the right workload
  • Automatically and continually migrating data at a sub-volume level to arrays with the most appropriate performance profile.