In this chapter, we have explored the ELK stack overview and installation. In the ELK stack, Elasticsearch is used for storing the logs and service queries from Kibana. Logstash is an agent that runs on each server that you wish to collect logs from. Logstash reads the logs, filters/transforms them, and provides them to Elasticsearch. Kibana reads/queries the data from Elasticsearch and presents it in tabular or graphical visualizations.
We also understand the utility of having the correlation ID while debugging issues. At the end of this chapter, we also discovered the shortcomings of a few microservice designs. It was a challenging task to cover all of the topics relating to microservices in this book, so I tried to include as much relevant information as possible with precise sections with references, which allow you to explore more. Now, I would like to let you start...
