Tag: Metrics

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.

This post is contributed by Kwunhok Chan | Solutions Architect, AWS   In an earlier post, AWS introduced Horizontal Pod Autoscaler and Kubernetes Metrics Server support for Amazon Elastic Kubernetes Service. These tools make it easy to scale your Kubernetes workloads managed by EKS in response to built-in metrics like CPU and memory. However, one common use case for applications […]

Contributed by Trevor Sullivan, AWS Solutions Architect When you deploy containers with Amazon ECS, are you gathering all of the key metrics so that you can correctly monitor the overall health of your ECS cluster? By default, ECS writes metrics to Amazon CloudWatch in 5-minute increments. For complex or large services, this may not be sufficient to make […]