In the blog post titled "How to Time Series, Annotations, and Anomalies with Kibana," authors Alex Francoeur and Chris Cowan discuss the process of adding annotations to time series visualizations using Kibana, specifically focusing on anomalies detected through machine learning jobs. They recommend watching the first two video blogs for background context and guide viewers through using Kibana with the X-Pack machine learning feature and Filebeat Nginx module logs. The post highlights the steps to configure a multi-metric machine learning job, create an index pattern for anomalies, and customize elements such as legends and charts. It also encourages community engagement by inviting users to suggest new features for Kibana's Time Series Visual Builder.