Custom metrics in Kubernetes and cloud monitoring are essential for businesses to gain insights into application performance and usage beyond standard metrics. These data points help identify optimization opportunities and prevent availability issues. However, managing custom metrics can become costly without proper strategies. To reduce expenses, organizations should rely on robust observability systems, optimize metric collection, and ensure monitoring focuses on critical application and infrastructure components. Effective cost management of custom metrics supports performance, reliability, and financial efficiency in cloud-native environments.

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