In this chapter, we introduced logging and tracing with Fluentd and Jaeger. We showed how to deploy it and use it, capturing and aggregating data from your code when it runs at scale. We walked through how to use an Elasticsearch query to find data. We also looked at how to view Jaeger traces and how to add tracing to your code.
In the next chapter, we will look at ways of using Kubernetes to support and run integration testing, as well as using it with continuous integration.
