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Update EKS Autoscaling Limitation (#695)

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Cluster-autoscaler is designed for this purpose.
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dkeightley 2019-04-07 19:14:18 +10:00 • committed by Maish
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@ -1498,8 +1498,8 @@ EKS
### EKS Gotchas and Limitations ### EKS Gotchas and Limitations
- Pods and Service configurations can rapidly consume IP addresses inside a VPC. Proper care and maintenance should be applied to ensure IP exhaustion does not occur - Pods and Service configurations can rapidly consume IP addresses inside a VPC. Proper care and maintenance should be applied to ensure IP exhaustion does not occur
- There is currently no integrated monitoring in Cloudwatch for EKS pods or services, you will need to deploy a monitoring system that supports kubernetes such as Prometheus. - There is currently no integrated monitoring in Cloudwatch for EKS pods or services, you will need to deploy a monitoring system that supports kubernetes such as Prometheus.
- Autoscaling based off CPU/Memory of a node is limited as you will not be aware of pending services/pods that cannot start. As this is not queryable via EKS API's, you would need to write this in Lambda with kubectl, this may be a security concern for some organizations. - Autoscaling based off CPU/Memory of a node is limited as you will not be aware of pending Services/Pods that cannot start. Using [cluster-autoscaler](https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler) can be useful for scaling based on Node resource usage and unschedulable Pods.
- Prometheus (https://prometheus.io/) is a very popular monitoring solution for K8s, metrics and alerts can be used to send events to Lambda, SQS or other solutions to take autoscaling actions. - [Prometheus](https://prometheus.io/) is a very popular monitoring solution for K8s, metrics and alerts can be used to send events to Lambda, SQS or other solutions to take autoscaling actions.
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