September 2019
Intermediate to advanced
668 pages
15h 59m
English
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: