Deploy Grafana on Kubernetes Cluster
The Nautilus DevOps teams is planning to set up a Grafana tool to collect and analyze analytics from some applications. They are planning to deploy it on Kubernetes cluster. Below you can find more details.
-
Create a deployment named grafana-deployment-datacenter using any grafana image for Grafana app. Set other parameters as per your choice.
-
Create NodePort type service with nodePort 32000 to expose the app.
You need not to make any configuration changes inside the Grafana app once deployed, just make sure you are able to access the Grafana login page.
Steps
-
Let’s create k3s-deployment.yaml file and copy content from this YAML file
-
Create deployment and services
kubectl apply -f k3s-deployment.yaml
-
Verify results
kubectl get deployments.apps
kubectl get svc
Good to Know?
Application Deployment
- Containerized Apps: Package applications in containers
- Declarative Config: Define desired state in YAML
- Service Exposure: Make applications accessible
- Scaling: Adjust replicas based on demand
Grafana on Kubernetes
- Monitoring: Visualize metrics and logs
- Dashboards: Create custom monitoring dashboards
- Data Sources: Connect to Prometheus, InfluxDB, etc.
- Persistence: Use PVCs for dashboard and config storage
Service Exposure
- NodePort: Simple external access method
- Ingress: HTTP/HTTPS routing with domain names
- LoadBalancer: Cloud provider integration
- Port Forwarding: Development and debugging access
Production Considerations
- Persistent Storage: Use PVCs for data persistence
- Resource Limits: Set appropriate CPU/memory limits
- Security: Configure authentication and authorization
- High Availability: Multiple replicas and anti-affinity