Labeling Cloud (AWS) Worker Nodes

Labeling is a means for identifying application processing and qualifying the application as a candidate to run on a specific node. For example, labeling a node with the label kafka=yes specifies that a Kafka instance will run on that node.

Product Labels
Labeling Worker Nodes
For more information about labeling, see Understanding Labels and Pods

Product Labels

The following table shows the required labels for ArcSight products.

Product	Required Labels
ArcSight ESM Command Center	`fusion=yes`
ArcSight Layered Analytics	`fusion=yes`
ArcSight Recon	`fusion=yes`
Fusion	`fusion=yes`
Intelligence	`fusion=yes` `intelligence=yes` `intelligence-namenode=yes` `intelligence-datanode=yes` `intelligence-spark=yes`
Transformation Hub	`kafka=yes` `zk=yes` `th-processing=yes` `th-platform=yes`

Labeling Worker Nodes

To label AWS worker nodes:

You can skip this step if you have added all the required nodes to your launch configuration from which you have deployed your nodes.

Connect to the bastion.
Retrieve the list of nodes by running the command:
```
# kubectl get nodes -o name | cut -d '/' -f 2
```

Run the following command once for each node:

# kubectl label\
--overwrite=true node <node name> zk=yes kafka=yes th-platform=yes th-processing=yes fusion=yes

For example:

# kubectl label \
--overwrite=true node ip-10-0-10-83.eu-central-1.compute.internal \
zk=yes kafka=yes th-platform=yes th-processing=yes \
node/ip-10-0-10-83.eu-central-1.compute.internal labeled

Verify the labels by running the command:
```
# kubectl get nodes --show-labels
```

Next Step: Upload Product Images to the ECR