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+Traditionally, PiCluster had the ability to store its log output in Elasticsearch. Starting in PiCluster 2.3, node metrics such as disk, cpu, and memory utilization is stored also. With this ability, users can easily view their host metrics over time.
+
+#### Requirements
+* PiCluster
+* Elasticsearch 6+
+* Kibana 6+
+
+If you want to quickly spin up an Elasticsearch cluster with Kibana in Docker, check out my elasticsearch-demo in my Git page. 
+
+#### PiCluster Configuration
+
+
+PiCluster needs to be configured for Elasticsearch so it knows where to send data. All you need to do is add the following config option in ```config.json``` that points to your Elasticsearch endpoint and restart the PiCluster server process.
+
+```
+"elasticsearch": "http://my-es-endpoint:9200"
+```
+
+#### Kibana Configuration
+Starting in PiCluster 2.3, there are pre-set graphs available for viewing host metrics (cpu, memory, and disk).
+
+##### Creating the Index Pattern
+* Click on ```Management``` -> ```Index Patterns```.
+* Click ```Create Index```.
+* Under ```Index Pattern```, type ```picluster-monitoring```
+* Click ```Next Step```
+* Under ```Time Filter field name```, choose ```date```.
+* Click ```Create```.
+Repeat steps 1-6 for the ```picluster-logging``` Index Pattern.
+
+#### Importing the Graphs
+To import the PiCluster Monitoring graphs in Kibana:
+
+Click on ```Management``` -> ```Saved Objects```.
+Click ```import```.
+Navigate to the PiCluster Git directory and choose ```kibana-graphs.json```
+Click open.
+Repeat steps 1-4 for ```kibana-dashboard.json```