adding details and template for GKE

Author: charlyF

02-path-working-with-clusters/201-cluster-monitoring/readme.adoc

@@ -109,12 +109,13 @@ As this manifest is a DaemonSet, this deploys a Datadog Agent on all your nodes.
 Referring to the https://kubernetes.io/blog/2017/01/running-mongodb-on-kubernetes-with-statefulsets/[Kubernetes Blog] on deploying a MongoDB StatefulSet on Kubernetes:
 To set up the MongoDB replica set, you need three things: A StorageClass, a Headless Service, and a StatefulSet.
 We start by creating a StorageClass to tell Kubernetes what kind of storage to use for the database nodes.
-In this case, we rely on EBS GP2s to store our data.
+In this case, we rely on EBS GP2s to store our data (or pd-standard if you are running this in GKE).
 
 ```
 $ kubectl apply -f templates/mongodb/storageclass.yaml
 storageclass.storage.k8s.io "fast" created
 ```
+(use templates/mongodb/storageclass-gcp.yaml if you are on GKE).
 
 Once the storage is ready, we can spin up our MongoDB with 3 replicas.
 
@@ -125,7 +126,7 @@ statefulset.apps "mongo" created
 ```
 
 Note that this creates a service which operates as a headless loadbalancer in front of the DBs.
-This also generates Persistent Volume Claims, these should appear as EBS volumes in your AWS account.
+This also generates Persistent Volume Claims, these should appear as EBS volumes in your AWS account (or pd-standard if you are running this in GKE).
 
 Finally, for the sake of monitoring, we are going to create a user in the Primary Database, which will be used by the Datadog Agent to collect data.
 
@@ -174,7 +175,7 @@ This web app is an interface to spin up scenarios, where different parts of the
 Now is time to see the result of your labor.
 
 Apply the NGINX manifest, this creates a webserver in front of the application as well as a service.
-The service, as opposed to the above services is configured to be a LoadBalancer. Therefore, it spins up an AWS ELB and makes a public DNS that is exposed to the world.
+The service, as opposed to the above services is configured to be a LoadBalancer. Therefore, it spins up an AWS ELB (or a Load Balancer on GCP) and makes a public DNS that is exposed to the world.
 
 ```
 $ kubectl apply -f templates/nginx/nginx.yaml
@@ -388,7 +389,7 @@ If you want to remove all the installed components:
     kubectl get pvc
     kubectl delete pvc-*
 
-Make sure you remove the ELB and the EBSs created.
+Make sure you remove the ELB/Load Balancer and the EBSs/pd-standard created.
 
 You are now ready to continue on with the workshop!
 

02-path-working-with-clusters/201-cluster-monitoring/templates/datadog/agent.yaml

@@ -30,10 +30,6 @@ spec:
             value: "true"
           - name: DD_PROCESS_AGENT_ENABLED
             value: "true"
-          - name: DD_LOGS_ENABLED
-            value: "true"
-          - name: DD_LOGS_CONFIG_CONTAINER_COLLECT_ALL
-            value: "true"
           - name: HOST_PROC
             value: /host/proc
           - name: HOST_SYS
@@ -47,11 +43,6 @@ spec:
           - name: cgroups
             mountPath: /host/sys/fs/cgroup
             readOnly: true
-          - name: passwd
-            mountPath: /etc/passwd
-            readOnly: true
-          - name: pointerdir
-            mountPath: /opt/datadog-agent/run
       volumes:
         - hostPath:
             path: /run/docker.sock
@@ -62,12 +53,6 @@ spec:
         - hostPath:
             path: /sys/fs/cgroup
           name: cgroups
-        - hostPath:
-            path: /etc/passwd
-          name: passwd
-        - hostPath:
-            path: /opt/datadog-agent/run
-          name: pointerdir
 ---
 apiVersion: v1
 kind: Service

02-path-working-with-clusters/201-cluster-monitoring/templates/mongodb/storageclass-gcp.yaml

@@ -0,0 +1,9 @@
+kind: StorageClass
+apiVersion: storage.k8s.io/v1
+metadata:
+  name: fast
+provisioner: kubernetes.io/gce-pd
+parameters:
+  type: pd-standard
+  zones: us-central1-a
+  replication-type: none