Identifying anti-patterns in real-world scenarios
Understanding the signs, causes, and implications of these real-world instances is pivotal in proactively addressing, mitigating, and preventing these anti-patterns in Kubernetes infrastructures. This section aims to provide valuable insights into recognizing and effectively managing these anti-patterns for enhanced system performance, scalability, and reliability.
Monitoring and metrics for resource overutilization
The primary objective of monitoring and metrics for resource overutilization is to track and analyze resource usage. This involves monitoring key metrics such as CPU utilization, memory usage, and network throughput to identify potential overutilization issues within the Kubernetes cluster.
Implementing effective monitoring tools enables continuous tracking of resource metrics. Prometheus, Grafana, and Kubernetes-native tools such as kube-state-metrics are commonly used to collect and visualize resource utilization...
