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Kubernetes tests - Logging - Elastisearch, Fluentd and Kibana

Pre-requisites

  • cpu: 4
  • memory: 8192

Instructions

  1. Deploy

    kubectl apply -f .

  2. Check connection Fluentd-Elastisearch

    kubectl get pods -n kube-system
kubectl logs fluentd-* -n kube-system -f

    You should see that Fluentd connect to Elasticsearch within the logs:

    Connection opened to Elasticsearch cluster => {:host=>"elasticsearch.logging", :port=>9200, :scheme=>"http", :path=>""}

  3. Configure Kibana

    open http://$(minikube ip):$(kubectl get svc -n logging | grep -i kibana | awk '{print $5}' | cut -d ',' -f 1 | sed 's,[0-9]*:,,' | sed 's,/TCP,,')
    1. Left menu: "Management"
    2. Kibana group: "Index Patterns"
    3. Button: "Create index pattern"
    4. Index creation form 1: Index pattern: logstash*
    5. Button: "Next step"
    6. Index creation form 2: Time Filter field name: @timestamp
    7. Button: "Create index pattern"
    8. Leave open the window

  4. Spin up application

    docker build -t fluentd-node-sample:latest -f sample-app/Dockerfile sample-app
kubectl apply -f kubernetes/node-deployment.yaml -n default

  5. Back to Kibana Left menu: "Discover" to see logs

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