Use the following command to create a Docker container and run it in the background:
docker-compose up -dKibana's access port is 5601, so we can access: http://127.0.0.1:5601/
When we first entered Kibana, it was blank and nothing. Then, we need to add a Data View, which is equivalent to creating a log query view.
We click Discover -> Create a data view, and then we will see the following interface:
We fill in go-micro-fluentd in the Index pattern text box.
With the Timestamp field we can find ts from the drop-down box and select it.
Then, we can click Save data view to Kibana to create the view.
We will see a view of the log query:
In this view, what we see is only the most original log information.
We can check msg or other fields that need attention on the left, and Kibana will filter out the information we care about:
If you need to build a more complex query, you can build a query statement in the top search bar.