Kubernetes monitoring ecosystem¶
The Kubernetes monitoring ecosystem encompasses the tools and architectures used to observe the performance and health of containerized applications and the cluster itself^[400-devops-06-kubernetes-k8s-paas-readme.md].
Core Components¶
The ecosystem primarily relies on Prometheus as the core monitoring system, often working in conjunction with Metrics Server^[400-devops-06-kubernetes-k8s-paas-readme.md]. While Metrics Server provides basic resource usage data (like CPU and memory) for autoscaling decisions, Prometheus offers a more robust, time-series database solution for in-depth querying and alerting^[400-devops-06-kubernetes-k8s-paas-readme.md].
Integration with Kubernetes¶
Monitoring in Kubernetes is typically facilitated by the Resource Model and Resource Management capabilities^[400-devops-06-kubernetes-k8s-paas-readme.md]. This integration allows the monitoring stack to track resource allocation and usage, ensuring that the scheduler can make informed decisions about Pod placement based on the current load and defined quotas^[400-devops-06-kubernetes-k8s-paas-readme.md].
Related Ecosystems¶
Monitoring is closely related to logging, which handles the collection and management of text logs from containers^[400-devops-06-kubernetes-k8s-paas-readme.md]. Together, these observability pillars form the necessary infrastructure for maintaining complex containerized platforms^[400-devops-06-kubernetes-k8s-paas-readme.md].
Related Concepts¶
- Prometheus
- [[Kubernetes architecture]]
- Kubernetes scheduler
Sources¶
- 400-devops-06-kubernetes-k8s-paas-readme.md