Amazon Elastic Cloud Compute (Amazon EC2) instances with locally attached NVMe storage can provide the performance needed for workloads demanding ultra-low latency and high I/O throughput. High-performance workloads, from high-frequency trading applications and in-memory databases to real-time analytics engines and AI/ML inference, need comprehensive performance tracking. Operating system tools like iostat and sar provide valuable system-level insights, and Amazon CloudWatch offers important disk IOPs and throughput measurements, but high-performance workloads can benefit from even more detailed visibility into instance store performance.
For latency-sensitive applications where every millisecond counts, enhanced performance monitoring tools provide deep visibility into storage systems, so your teams can track and analyze behavior at a 1 second granularity. This detailed insight can help your organization detect bottlenecks quickly, fine-tune application…
