This repository contains Kubernetes configurations for deploying Elasticsearch and Kibana. The setup includes a StatefulSet for Elasticsearch and a Deployment for Kibana.

apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: es-cluster
  namespace: qa-log-analyzer
spec:
  # ... (Elasticsearch configuration details)
---
apiVersion: v1
kind: Service
metadata:
  name: elasticsearch
  namespace: qa-log-analyzer
  labels:
    app: elasticsearch
  # ... (Service configuration details)
---
# ... (VolumeClaimTemplates for Elasticsearch)

apiVersion: v1
kind: ConfigMap
metadata:
  name: kibana-config
  namespace: qa-log-analyzer
data:
  kibana.yml: |-
    # ... (Kibana configuration details)
---
apiVersion: v1
kind: Service
metadata:
  name: kibana
  namespace: qa-log-analyzer
  labels:
    app: kibana
  # ... (Service configuration details)
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: kibana
  namespace: qa-log-analyzer
  labels:
    app: kibana
spec:
  # ... (Kibana deployment details)

• StatefulSet: Defines a single replica Elasticsearch cluster.
• Service: Exposes Elasticsearch with a LoadBalancer for external access.
• VolumeClaimTemplates: Specifies the storage configuration for Elasticsearch.

• ConfigMap: Provides Kibana configuration settings.
• Service: Exposes Kibana with a LoadBalancer for external access.
• Deployment: Configures a single replica deployment for Kibana.

1. Apply Elasticsearch configuration:

kubectl apply -f elastic.yaml

2. Apply Kibana configuration:

kubectl apply -f kibana.yaml

3. Monitor the deployment:

kubectl get pods -n qa-log-analyzer

4. Access Kibana via the LoadBalancer IP.

Note: Ensure Kubernetes cluster settings and network configurations align with the provided YAML files.

For more details, refer to the official Elasticsearch and Kibana documentation.

Feel free to contribute and open issues for any improvements or questions!