We want to use AWS predictive scaling to forecast the load and CPU so this will certainly help us move away from manually launching instances based on load. We created new scaling plan by choosing EC2 Autoscaling group and enabling predictive scaling(forecast only for now). But we noticed that the CPU graph on Grafana is different from AWS Average CPU utilization. Grafana is getting alerts from elasticsearch which gets logs directly from services running in ec2. I am not sure why they don't show the same percentage of CPU Utilization and am wondering why AWS CPU Utilization is lower than the CPU shows on Grafana? If so can autoscaling scales the instances correctly?
AWS Autoscaling group Average CPU utilization
Grafana Averge CPU graph
AWS has its own method of computing CPU Util which is based on "EC2 compute units" so it is possible that value will differ when compared to another way of calculating the same metrics.
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I have an Aurora Postgres instance that I am analyzing some performance metrics. Something caught my eye and I cannot make sense of the data.
If I go to the Monitoring tab of that Aurora instance, I see that the CPU Utilization (powered by Cloudwatch) is 20-30%. If I change the Monitoring to use "Enhanced Monitoring", the "CPU Total" shows the CPU always on 99+%.
Why do those numbers don't match?
PS: I do have another instance that those 2 metrics have a very similar value
In AWS console CloudWatch > Container Insights > Performance Monitoring. I selected EKS Pods. There are 2 charts: Node CPU Utilization and Pod CPU Utilization.
I have several images deployed.
During my load testing, Node CPU Utilization shows Image A at spiking up to 98%. However, Pod CPU Utilization shows Image A below 0.1%.
Anybody understands what does these 2 metrics mean? Does it mean I should increase the number of nodes instead of number of pods?
Example of the dashboard:
I have a Kubernetes cluster deployed in AWS. The pods are set to auto-scale based on memory, CPU total average usage, and based on request latency of the services.
Scaling works as expected. I am wondering if there is a Kubernetes event that fires when scaling that indicates which metric was used for the scaling? Whether the scaling happened due to memory usage or CPU usage etc.
I've set up an instance group with autoscaling based on CPU utilisation
I want to set up autoscaling based on RAM utilisation.
I want to set up an instance group with load balancing based on CPU and RAM usage.
Thanks in advance.
I think (because I didn't test) you can achieve that by using a Stackdriver metric. For that, you need to install the Cloud Monitoring agent on your servers.
Then you can set up an instance group with a CPU utilisation and add a new metric, and select the memory usage metric
I need to create a AWS Lambda function in JAVA to print the EC2 instance's CPU Utilisation. How to get the CPU utilization of EC2 instance using AWS JAVA SDK.
Amazon CloudWatch maintains metrics about every Amazon EC2 instance, including CPU Utilization.
By default, metrics are collected at 5-minute intervals at no charge. You can enable detailed monitoring for an instance, which will collect metrics at 1-minute intervals. Additional charges apply.
You can obtain the metrics via a call to Amazon CloudWatch. Use the getMetricData() function.
Note that you actually request a calculated value over a period of time, such as "Average CPU for the previous 5 minutes".