Kibana, part of the Elastic Stack, offers powerful tools for time series analysis, notably through the Time Series Visual Builder (TSVB), which is used to visualize observability data such as CPU or memory utilization and network transfer. The blog post by Chris Cowan explains the process of visualizing various rates using TSVB, focusing on positive rates, rate of change, and event rates. It details how to convert counters to positive rates by evenly distributing data across time intervals and handling resets with positive-only aggregation to avoid negative dips. For the rate of change, it emphasizes calculating the percentage change for gauges or counters to understand rising or falling trends, using derivatives and bucket scripts. Event rates are discussed in terms of the frequency of events within set time intervals, with steps on converting counts to per-second rates. The post also touches on the importance of understanding the shape of metrics, whether they are gauges, counters, or document counts, to select the appropriate visualization approach. Practical examples and visualizations are provided, which can be replicated using Kibana's TSVB, with additional resources available for those interested in trying these techniques on their data.