Getting Started with Gaming Demo
This project contains sample code to implement a gaming architecture in GKE. It uses dedicated game server agones, stackdriver and a custom match maker service to replicate a scalable architecture.
Step: 1 Understanding Agones Custom Resource Definition In Kubernetes
GameServer Fleet Fleet AutoScaler We will be using these custom resources programmatically using kubernetes API from a go client sdk. Please see details here.
Step: 2 Install Agones in GKE Cluster
Please follow this instruction to install Agones in GKE cluster
Step: 3 Deploy Monitoring Service
Monitoring service uses Custom Metrics Stackdriver Adapter. Please deploy new resource model adapter by using following command:
kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/k8s-stackdriver/master/custom-metrics-stackdriver-adapter/deploy/production/adapter_new_resource_model.yaml
Please follow instruction in the monitoring service repo to complete the deployment.
bash-4.4$ kubectl get deployments
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
custom-metric-sd 1 1 1 1 4d
bash-4.4$ kubectl logs custom-metric-sd-58f765cc4c-h282x
{"msg":"Created the agones api clientset","severity":"info","source":"main","time":"2018-11-13T16:39:38Z"}
2018/11/13 16:39:38 Finished writing time series for new resource model with Ready Replicas: 4 Allocated Replicas: 4
Step: 4 Deploy sample game server
Please follow instruction in the game server repo
You can test either by kubectl command or kubernetes api directly:
kubectl get gameservers
bash-4.4$ kubectl get gs
NAME AGE
my-game-server-fleet-22jwr-2j9z2 2d
my-game-server-fleet-22jwr-lc9xt 2d
my-game-server-fleet-22jwr-m926w 1d
my-game-server-fleet-22jwr-nm2nw 3d
From the log:
bash-4.4$ kubectl logs my-game-server-fleet-22jwr-2j9z2-8f4pj -c my-game-server-fleet
2018/11/14 21:17:30 Starting UDP server, listening on port 7654
2018/11/14 21:17:30 Creating SDK instance
2018/11/14 21:17:31 Starting Health Ping
2018/11/14 21:17:31 Marking this server as ready
2018/11/14 21:17:41 Finished writing time series for Game Server: my-game-server-fleet-22jwr-2j9z2-8f4pj Number of Current Gamers: 0.
OR.
kubectl proxy&.
http://localhost:8001/apis/stable.agones.dev/v1alpha1/namespaces/default/gameservers/.
Step: 5 Deploy Allocation Service
Please follow instruction in the allocation service repo
bash-4.4$ kubectl get deployments
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
fleet-allocator 1 1 1 1 3d
After it's running, you can test it bu accessing the URL:
http://<ingress_ip>/address
{
"status": {
"state": "Allocated",
"ports": [
{
"name": "default",
"port": 7046
}
],
"address": "35.184.39.67",
"nodeName": "gke-agones-cluster-default-pool-b73909a7-fl05"
}
}
kubectl get gs -o=custom-columns=NAME:.metadata.name,STATUS:.status.state,IP:.status.address,PORT:.status.ports
NAME STATUS IP PORT
my-game-server-fleet-22jwr-2j9z2 Allocated 35.184.39.67 [map[name:default port:7177]]
my-game-server-fleet-22jwr-lc9xt Ready 35.184.39.67 [map[name:default port:7622]]
my-game-server-fleet-22jwr-m926w Ready 35.184.39.67 [map[name:default port:7160]]
my-game-server-fleet-22jwr-nm2nw Ready 35.184.39.67 [map[name:default port:7134]]
Step: 6 Deploy Custom Scaler Service
Please follow instruction in the scaling service repo to complete the deployment.
bash-4.4$ kubectl get deployments
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
custom-fleet-scaler 1 1 1 1 4d
bash-4.4$ kubectl logs custom-fleet-scaler-7c9bc69c78-q2th2
2018/11/17 02:16:37 Created the agones api clientset
2018/11/17 02:16:37 FAS does not exist fleetautoscalers.stable.agones.dev "fleet-autoscaler-my-game-server" not found
2018/11/17 02:16:52 ***Player Count 0 *** Ready Replicas 4 Error:<nil>
2018/11/17 02:16:52 **Auto Scaling Remain Same*** Target Buffer: 4 Current Buffer: 4
Step:7 Deploy Custom Matchmaker Service
Please follow instruction in the matchmaker repo to complete the deployment.
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