Most production services in AWS use at least two key metrics for service health – CPU and memory utilization. The amount of CPU and memory used by the host (in this case, a MicroVM) can indicate scaling signals or inefficiencies in your application. If you’re running a production workload on AWS Lambda MicroVMs, it’s recommended to have observability in these dimensions. And the easiest way to collect these metrics is through the Amazon CloudWatch Agent.
This blog shows you how to collect CPU and memory metrics from within the MicroVM using the CloudWatch Agent.
How to collect CPU and memory metrics in your MicroVM
To observe how a workload uses CPU and memory over time, run the CloudWatch Agent inside the MicroVM. Since a MicroVM image is a full OS snapshot, you can start the agent during image creation, meaning it will already be running the moment a MicroVM launches from that image. This means zero startup latency and one-time configuration:…
https://aws.amazon.com/blogs/compute/collecting-cpu-and-memory-metrics-for-aws-lambda-microvms/
