In this chapter, you have learned how containers can be monitored using Datadog with the help of integrations available for Docker and Kubernetes. You have also learned how to search the container information and container logs once such information is collected by Datadog. After reading this chapter and trying out the samples provided in it, you are prepared to use Datadog to monitor containers that run in both Docker and Kubernetes environments.
Log aggregation, indexing, and search is a major area in monitoring and there are major initiatives around in the industry, such as the ELK Stack, Splunk, and Sumo Logic. Datadog also offers a solution, and you will learn about that in the next chapter.