Скачать или смотреть Monitoring and Adjusting Autoscaling Parameters

Effective monitoring is crucial in managing Kubernetes autoscaling. It helps ensure your scaling strategies are performing as expected and allows you to make informed adjustments. Tools such as Prometheus, Grafana, and Kubernetes Dashboard provide insights into resource usage, scaling events, and application performance. With these insights, you can adjust autoscaling parameters, such as target utilization or scaling thresholds, to better align with your application's needs. Monitoring also enables predictive scaling, where historical data is used to anticipate future demands and adjust resources proactively. By continuously monitoring and refining your scaling configurations, you can maintain optimal performance and cost-efficiency.