feat: Update serverless clusters running EKS Farage to maximize resource utilization on CoreDNS

examples/analytics/emr-on-eks-fargate/main.tf

@@ -53,6 +53,26 @@ module "eks" {
     coredns = {
       configuration_values = jsonencode({
         computeType = "Fargate"
+        # Ensure that the we fully utilize the minimum amount of resources that are supplied by
+        # Fargate https://docs.aws.amazon.com/eks/latest/userguide/fargate-pod-configuration.html
+        # Fargate adds 256 MB to each pod's memory reservation for the required Kubernetes
+        # components (kubelet, kube-proxy, and containerd). Fargate rounds up to the following
+        # compute configuration that most closely matches the sum of vCPU and memory requests in
+        # order to ensure pods always have the resources that they need to run.
+        resources = {
+          limits = {
+            cpu = "0.25"
+            # We are targetting the smallest Task size of 512Mb, so we subtract 256Mb from the
+            # request/limit to ensure we can fit within that task
+            memory = "256M"
+          }
+          requests = {
+            cpu = "0.25"
+            # We are targetting the smallest Task size of 512Mb, so we subtract 256Mb from the
+            # request/limit to ensure we can fit within that task
+            memory = "256M"
+          }
+        }
       })
     }
     kube-proxy = {}

examples/fargate-serverless/README.md

@@ -45,7 +45,7 @@ aws eks --region <REGION> update-kubeconfig --name <CLUSTER_NAME>
 kubectl get pods -A
 
 # Output should look like below
-ame-2048      deployment-2048-7ff458c9f-mb5xs                 1/1     Running   0          5h23m
+game-2048      deployment-2048-7ff458c9f-mb5xs                 1/1     Running   0          5h23m
 game-2048     deployment-2048-7ff458c9f-qc99d                 1/1     Running   0          4h23m
 game-2048     deployment-2048-7ff458c9f-rm26f                 1/1     Running   0          4h23m
 game-2048     deployment-2048-7ff458c9f-vzjhm                 1/1     Running   0          4h23m

examples/fargate-serverless/main.tf

@@ -52,6 +52,26 @@ module "eks" {
     coredns = {
       configuration_values = jsonencode({
         computeType = "Fargate"
+        # Ensure that the we fully utilize the minimum amount of resources that are supplied by
+        # Fargate https://docs.aws.amazon.com/eks/latest/userguide/fargate-pod-configuration.html
+        # Fargate adds 256 MB to each pod's memory reservation for the required Kubernetes
+        # components (kubelet, kube-proxy, and containerd). Fargate rounds up to the following
+        # compute configuration that most closely matches the sum of vCPU and memory requests in
+        # order to ensure pods always have the resources that they need to run.
+        resources = {
+          limits = {
+            cpu = "0.25"
+            # We are targetting the smallest Task size of 512Mb, so we subtract 256Mb from the
+            # request/limit to ensure we can fit within that task
+            memory = "256M"
+          }
+          requests = {
+            cpu = "0.25"
+            # We are targetting the smallest Task size of 512Mb, so we subtract 256Mb from the
+            # request/limit to ensure we can fit within that task
+            memory = "256M"
+          }
+        }
       })
     }
     kube-proxy = {}

examples/karpenter/main.tf

@@ -71,6 +71,26 @@ module "eks" {
     coredns = {
       configuration_values = jsonencode({
         computeType = "Fargate"
+        # Ensure that the we fully utilize the minimum amount of resources that are supplied by
+        # Fargate https://docs.aws.amazon.com/eks/latest/userguide/fargate-pod-configuration.html
+        # Fargate adds 256 MB to each pod's memory reservation for the required Kubernetes
+        # components (kubelet, kube-proxy, and containerd). Fargate rounds up to the following
+        # compute configuration that most closely matches the sum of vCPU and memory requests in
+        # order to ensure pods always have the resources that they need to run.
+        resources = {
+          limits = {
+            cpu = "0.25"
+            # We are targetting the smallest Task size of 512Mb, so we subtract 256Mb from the
+            # request/limit to ensure we can fit within that task
+            memory = "256M"
+          }
+          requests = {
+            cpu = "0.25"
+            # We are targetting the smallest Task size of 512Mb, so we subtract 256Mb from the
+            # request/limit to ensure we can fit within that task
+            memory = "256M"
+          }
+        }
       })
     }
     kube-proxy = {}