efk-stack

ElasticSearch Cluster (v5.2.2), Fluentd (v0.12) & Kibana (v5.2.2) deployment files for Kubernetes

Instructions

1. Build the docker images for Elastisearch using the configurations present in docker-images directory.
2. Replace the container image (Search for: <docker-image>) in file elasticsearch.yml with the image built in Step 1.
3. Run the following commands in the same order.

# Create the EFK Namespace
kubectl apply -f efk-namespace.yml

# Create EFK Storage Class - We have used AWS EBS provisioned volumes. Modify according to your needs.
kubectl apply -f efk-sc.yml

# Create Elasticseach Cluster - StatefulSet
kubectl apply -f elasticsearch.yml

# Note: Wait till all the pods of the Elasticsearch cluster are up and running.
# Create Fluentd - DaemonSet
kubectl apply -f fluentd.yml

# Create Kibana - Deployment. Default username for kibana is 'elastic' and default password is 'changeme'
kubectl apply -f kibana.yml

# Note: Kibana dashboard can be accessed by proxying Cluster IP of the kibana service or by using the load balancer url created by your cloud service provider.