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 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 implementing the concepts we have learned in this chapter to your workplace or in your personal projects. This will not only give you hands-on experience, but may also allow you to master microservices. In addition, you will also be able to participate in local meetups and conferences.