In this chapter, you learned about the challenges around logging and monitoring when dealing with Internet-scale microservices.

We explored the various solutions for centralized logging. You also learned about how to implement a custom centralized logging using Elasticsearch, Logstash, and Kibana (ELK). In order to understand distributed tracing, we upgraded BrownField microservices using Spring Cloud Sleuth.

In the second half of this chapter, we went deeper into the capabilities required for microservices monitoring solutions and different approaches to monitoring. Subsequently, we examined a number of tools available for microservices monitoring.

The BrownField microservices are further enhanced with Spring Cloud Hystrix and Turbine to monitor latencies and failures in inter-service communications. The examples also demonstrated how to use the circuit breaker pattern to fall back to another service in case of failures.

Finally, we also touched upon the importance of data lakes and how to integrate a data lake architecture in a microservice context.

Microservice management is another important challenge we need to tackle when dealing with large-scale microservice deployments. The next chapter will explore how containers can help in simplifying microservice management.