Kubernetes monitoring and logging ecosystem¶
The Kubernetes monitoring and logging ecosystem encompasses the tools and architectures used to observe the health, performance, and activity of containerized workloads.^[400-devops__06-Kubernetes__k8s-paas__原理及源码解析__README.md] This ecosystem typically integrates Metrics collection with centralized log aggregation to provide a comprehensive view of the cluster's state.
Core Components¶
Monitoring¶
Prometheus serves as a core monitoring engine within the ecosystem, responsible for gathering and storing time-series data^[400-devops__06-Kubernetes__k8s-paas__原理及源码解析__README.md]. To supply Prometheus with specific resource Metrics, the Metrics Server is deployed as the cluster-scale aggregator^[400-devops__06-Kubernetes__k8s-paas__原理及源码解析__README.md]. Together, these tools establish a pipeline where the Metrics Server collects raw usage data from the kubelet and the API server, making it accessible to Prometheus or the Horizontal Pod Autoscaler for performance analysis^[400-devops__06-Kubernetes__k8s-paas__原理及源码解析__README.md].
Logging¶
Log collection and management focuses on gathering the vast amounts of stdout/stderr output generated by containers^[400-devops__06-Kubernetes__k8s-paas__原理及源码解析__README.md]. In this ecosystem, logging agents are deployed to track, collect, and manage these logs centrally, ensuring that transient data from individual pods is preserved and accessible for debugging and auditing^[400-devops__06-Kubernetes__k8s-paas__原理及源码解析__README.md].
Sources¶
- 400-devops__06-Kubernetes__k8s-paas__原理及源码解析__README.md