Monitoring your cluster using Loki
Overview¶
This user journey guides you to set up a monitoring facility for the Accuknox control plane cluster and its workloads.
Step 1: Create a NodePool¶
- Create a node pool on GKE / EKS / AKS (or) on-premises worker nodes with below Requirements
| NodePool Name | Logging |
|---|---|
| No of Nodes | 3 |
| Machine Type | E2 / ec2 / vm (vmware / Cloud based VM) |
| Image Type | Any Linux based OS with Container support ( EG: GCP COS-Containerd) |
| CPU Per Node | 6 |
| Memory Per Node | 16 |
| Disk Size Per Node | 50 |
| Total CPU | 18 |
| Total Memory | 48 |
| Total Disk Size | 150 |
| Taints & Lables | logging:true |
| Node Pool Name | logging |
Step 2: Install Loki¶
Install Helm:
-
Helm binary is required to proceed further. To install Click here
-
Add accuknox repository to install Loki helm package:
helm repo add accuknox-onprem-logging https://USERNAME:[email protected]/repository/accuknox-onprem-logging
helm repo update
helm search repo accuknox-onprem-logging
helm pull accuknox-onprem-logging/loki-stack --untar
kubectl create namespace accuknox-loki-logging
kubectl config set-context --current --namespace=accuknox-loki-logging
helm install loki loki-stack/
kubectl get pods -n accuknox-loki-logging
Step 3: Grafana Login¶
Note:
Username: admin
Password: prom-operator
To Change Password:
- Scroll Down Below → Click on Admin Icon → Change Password
Add Endpoint in Grafana Data source:
- Click on Configuration Icon → Data source → Add data source → Select loki
-
Update loki FQDN on loki data source UI
-
Click on save and test.
- Click on explore section → Select the namespace and click → show logs
