From the deployment of Fluentd, we know that it immediately started to collect a significant number of log records. So, the first thing we need to do is get an understanding of what types of log records Fluentd has collected and stored in Elasticsearch.
We will use Kibana's visualization feature to divide the log records per Kubernetes namespace and then ask Kibana to show us how the log records are divided per type of container within each namespace. A pie chart is a suitable chart type for this type of analysis. Perform the following steps to create a pie chart:
- In Kibana's web UI, click on Visualize in the menu to the left.
- Click on the Create new visualization button.
- Select Pie as the visualization type.
