https://www.linux-toys.com/archives/1494
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PiCluster is
a simple way to manage Docker containers on multiple hosts. It will
work on x86 or ARM CPU architectures that can run Docker and Node.js.
PiCluster 2.3 will be out soon and I wanted to share the exciting new
Elasticsearch integration currently in the dev branch.
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.
2. Change the index to
Feel like trying it out? Check out our dev branch to start playing with it now or wait for it to hit our main branch! To learn more about how PiCluster works, Check out our Wiki page.
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Requirements
- PiCluster
- Elasticsearch 6+
- Kibana 6+
Requirements
If you want to quickly spin up an Elasticsearch cluster with Kibana in Docker, check this out.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 inconfig.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
, typepicluster-monitoring
- Click
Next Step
- Under
Time Filter field name
, choosedate
. - 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
- Click on Management ->
Viewing the Dashboard
Click on Dashboard
Choose PiCluster Monitoring
Viewing the Graphs
- Click on
Visualize
. - Choose CPU, Disk, or Memory.
Viewing the PiCluster Logs
1. Click onDiscover
.2. Change the index to
picluster-logging
Feel like trying it out? Check out our dev branch to start playing with it now or wait for it to hit our main branch! To learn more about how PiCluster works, Check out our Wiki page.
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