Optimize latency-sensitive workloads with Amazon EC2 detailed NVMe statistics
Compute Blog
This article explains how to use Amazon EC2 detailed NVMe statistics to optimize latency-sensitive workloads with locally attached instance storage.
- EC2 Nitro instances now offer 11 comprehensive per-second granularity metrics for NVMe instance storage
- Metrics include queue length, IOPS, throughput, and IO latency histograms with IO size-specific distributions
- Access statistics via nvme-cli command or CloudWatch agent for real-time visibility
- Scenario 1: Use "Performance Exceeded" metric to identify when workloads exceed instance storage limits
- Scenario 2: Use IO-size specific histograms to diagnose how large writes affect read performance
- Provides detailed troubleshooting examples and sample monitoring scripts
EC2 detailed NVMe statistics enable precise performance monitoring and bottleneck identification for high-performance applications requiring ultra-low latency storage.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.