# efk-stack

**Repository Path**: owen-zhang/efk-stack

## Basic Information

- **Project Name**: efk-stack
- **Description**: ElasticSearch Cluster (v5.2.2), Fluentd (v0.12) & Kibana (v5.2.2) deployment files for Kubernetes
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-02-02
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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.

```