Summary
In this chapter, we covered the topics of monitoring, observability, and troubleshooting. We started with a review of the various aspects of monitoring: logs, metrics, error reporting, and distributed tracing. Then, we discussed how to incorporate monitoring capabilities into your Kubernetes cluster. We looked at several CNCF projects, like Fluentd for log aggregation, Prometheus for metrics collection and alert management, Grafana for visualization, and Jaeger for distributed tracing. Then, we explored troubleshooting large distributed systems. We realized how difficult it can be and why we need so many different tools to conquer the issues.
In the next chapter, we will take it to the next level and dive into service meshes. I’m super excited about service meshes because they take much of the complexity related to cloud-native microservice-based applications and externalize them outside of the microservices. That has a lot of real-world value.
