Change CPUs to Graviton3

.github/workflows/README.md

@@ -14,7 +14,7 @@
 2. Click on Run workflow button
 3. Fill in the form and click on Run workflow button
    1. Name of the cluster - the name of the cluster that will be later used for other workflows. Default value is `gh-${{ github.repository_owner }}`, this results in `gh-<owner of fork>`.
-   2. Instance type for compute nodes - see [AWS EC2 instance types](https://aws.amazon.com/ec2/instance-types/). Default value is `m6g.2xlarge`.
+   2. Instance type for compute nodes - see [AWS EC2 instance types](https://aws.amazon.com/ec2/instance-types/). Default value is `m7g.2xlarge`.
    3. Deploy to multiple availability zones in the region - if checked, the cluster will be deployed to multiple availability zones in the region. Default value is `false`.
    4. Number of worker nodes to provision - number of compute nodes in the cluster. Default value is `2`.
 4. Wait for the workflow to finish.

.github/workflows/rosa-cluster-create.yml

@@ -11,7 +11,7 @@ on:
         type: string
       computeMachineType:
         description: 'Instance type for the compute nodes'
-        default: 'm6g.2xlarge'
+        default: 'm7g.2xlarge'
         type: string
       availabilityZones:
         description: 'Availability zones to deploy to'
@@ -35,7 +35,7 @@ on:
         default: 10.0.0.0/24
       computeMachineType:
         description: 'Instance type for the compute nodes'
-        default: 'm6g.2xlarge'
+        default: 'm7g.2xlarge'
         type: string
       availabilityZones:
         description: 'Availability zones to deploy to'

doc/benchmark/modules/ROOT/pages/report/rosa-benchmark-key-results.adoc

@@ -14,7 +14,7 @@ Collecting the CPU usage for refreshing a token is currently performed manually
 This setup is run https://github.com/keycloak/keycloak-benchmark/blob/main/.github/workflows/rosa-cluster-auto-provision-on-schedule.yml[daily on a GitHub action schedule]:
 
 * OpenShift 4.15.x deployed on AWS via ROSA with two AWS availability zones in AWS one region.
-* Machinepool with `m6g.2xlarge` instances.
+* Machinepool with `m7g.2xlarge` instances.
 * Keycloak 25 release candidate build deployed with Operator and 3 pods in each site as an active/passive setup, and Infinispan connecting the two sites.
 * Default user password hashing with Argon2 and 5 hash iterations and minimum memory size 7 MiB https://cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html#argon2id[as recommended by OWASP].
 * Database seeded with 100,000 users and 100,000 clients.

doc/kubernetes/modules/ROOT/pages/prerequisite/prerequisite-rosa.adoc

@@ -36,7 +36,7 @@ After the installation process is finished, it creates a new admin user.
 CLUSTER_NAME=rosa-kcb
 VERSION=4.13.8
 REGION=eu-central-1
-COMPUTE_MACHINE_TYPE=m6g.2xlarge
+COMPUTE_MACHINE_TYPE=m7g.2xlarge
 MULTI_AZ=false
 REPLICAS=3
 ----
@@ -85,7 +85,7 @@ The above installation script creates an admin user automatically but in case th
 == Scaling the cluster's nodes on demand
 
 The standard setup of nodes might be too small for running a load test, at the same time using a different instance type and rebuilding the cluster takes a lot of time (about 45 minutes).
-To scale the cluster on demand, the standard setup has a machine pool named `scaling` with instances of type `m6g.2xlarge` which is auto-scaled based on the current demand from 4 to 15 instances.
+To scale the cluster on demand, the standard setup has a machine pool named `scaling` with instances of type `m7g.2xlarge` which is auto-scaled based on the current demand from 4 to 15 instances.
 However, auto-scaling of worker nodes is quite time-consuming as nodes are scaled one by one.
 
 To use different instance types, use `rosa create machinepool` to create additional machine pools

provision/aws/rds/aurora_common.sh

@@ -5,7 +5,7 @@ export AURORA_CLUSTER=${AURORA_CLUSTER:-"keycloak"}
 export AURORA_ENGINE=${AURORA_ENGINE:-"aurora-postgresql"}
 export AURORA_ENGINE_VERSION=${AURORA_ENGINE_VERSION:-"16.1"}
 export AURORA_INSTANCES=${AURORA_INSTANCES:-"1"}
-export AURORA_INSTANCE_CLASS=${AURORA_INSTANCE_CLASS:-"db.r6g.xlarge"}
+export AURORA_INSTANCE_CLASS=${AURORA_INSTANCE_CLASS:-"db.r7g.xlarge"}
 export AURORA_PASSWORD=${AURORA_PASSWORD:-"secret99"}
 export AURORA_REGION=${AURORA_REGION}
 export AURORA_SECURITY_GROUP_NAME=${AURORA_SECURITY_GROUP_NAME:-"${AURORA_CLUSTER}-security-group"}

provision/aws/rosa_create_cluster.sh

@@ -63,7 +63,7 @@ fi
 
 SCALING_MACHINE_POOL=$(rosa list machinepools -c "${CLUSTER_NAME}" -o json | jq -r '.[] | select(.id == "scaling") | .id')
 if [[ "${SCALING_MACHINE_POOL}" != "scaling" ]]; then
-    rosa create machinepool -c "${CLUSTER_NAME}" --instance-type "${COMPUTE_MACHINE_TYPE:-m6g.2xlarge}" --max-replicas 15 --min-replicas 1 --name scaling --enable-autoscaling --autorepair
+    rosa create machinepool -c "${CLUSTER_NAME}" --instance-type "${COMPUTE_MACHINE_TYPE:-m7g.2xlarge}" --max-replicas 15 --min-replicas 1 --name scaling --enable-autoscaling --autorepair
 fi
 
 cd ${SCRIPT_DIR}

provision/opentofu/modules/rosa/hcp/variables.tf

@@ -61,7 +61,7 @@ variable "openshift_version" {
 
 variable "instance_type" {
   type     = string
-  default  = "m6g.2xlarge"
+  default  = "m7g.2xlarge"
   nullable = false
 }