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+## ELK Stack
+
+### Elastic Search 
+> is a no sql db that stores the data from various sources
+
+### Logstash 
+> is a service that can collect the data from various sources & pushes to Elastic Search DB
+
+### beats 
+> beats are small agents, that can collet the data from various sources & push data to either Logstash or directly to Elastic Search DB
+
+### Kibana
+> Kibana is a data visualization and exploration tool used for log and time-series analytics, application monitoring, and operational intelligence use cases. It offers powerful and easy-to-use features such as histograms, line graphs, pie charts, heat maps, and built-in geospatial support.
+
+
+## Deploy Elatic Search, Kibana & Filebeat on kubernetes Cluster 
+
+>> **Note: the stack requries minimum of 2cpu/4gb ram in each worker node where they will run"
+
+```sh
+kubectl apply -f https://github.com/lerndevops/labs/raw/master/elk/elastic-search.yaml
+```
+
+```sh
+kubectl apply -f https://github.com/lerndevops/labs/raw/master/elk/kibana.yaml
+```
+
+```sh
+kubectl apply -f https://github.com/lerndevops/labs/raw/master/elk/filebeat.yaml
+```
+
+## get kibana login credentials 
+> **username**
+```sh
+kubectl get secrets --namespace=default elasticsearch-master-credentials -ojsonpath='{.data.username}' | base64 -d ; echo
+```
+
+> **password**
+```sh
+kubectl get secrets --namespace=default elasticsearch-master-credentials -ojsonpath='{.data.password}' | base64 -d ; echo
+```