At the start of this chapter, we described how to get the status of running containers quickly by means of built-in functions such as kubectl. Then we expanded the discussion to concepts and principles of monitoring, including why it is necessary to do monitoring, what to monitor, and how to monitor. Afterwards, we built a monitoring system with Prometheus as the core, and set up exporters to collecting metrics from Kubernetes. The fundamentals of Prometheus were also introduced so that we can leverage metrics to gain more understanding of our cluster as well as the applications running inside. On the logging part, we mentioned common patterns of logging and how to deal with them in Kubernetes, and deployed an EFK stack to converge logs. The system we built in this chapter facilitates the reliability of our service. Next, we are advancing to set up a pipeline to deliver...
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