Week 10 - BSIT - 400-T320 Cloud Computing & Governance - Storage Performance
Analyzing storage performance metrics is essential for optimizing IT infrastructure and ensuring smooth application performance. Key metrics include latency, IOPS (Input/Output Operations Per Second), throughput, utilization, and queue depth. Latency measures the time taken for a storage request, where lower latency indicates faster performance. IOPS tracks the system’s ability to handle read/write operations, which is critical for high-transaction environments. Throughput, the data transfer rate, helps gauge if storage meets workload demands, while utilization reflects the storage capacity used, ideally maintained between 60-80% for optimal efficiency. Queue depth shows pending I/O requests, where a high value suggests overtaxed resources that can slow access times. Regular monitoring of these metrics enables IT teams to identify bottlenecks, adjust configurations, and make data-driven decisions that support scalability and performance. Through...