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Monitoring
Effective monitoring is essential for understanding the performance and health of your Kubernetes clusters and applications. In this setup, Prometheus and Grafana are used as the primary tools for monitoring and visualization.
Prometheus is an open-source systems monitoring and alerting toolkit designed specifically for reliability and scalability.
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Features:
- Time-series database for storing metrics.
- Powerful query language (PromQL) for analyzing metrics.
- Built-in support for Kubernetes to scrape metrics from pods, nodes, and services.
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Key Use Case: Prometheus collects metrics from Kubernetes and application endpoints, providing the raw data for performance analysis and alerting.
Grafana is an open-source analytics and interactive visualization platform.
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Features:
- Connects to Prometheus as a data source to visualize metrics in dashboards.
- Supports a wide range of other data sources for unified monitoring.
- Customizable and shareable dashboards for collaborative insights.
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Key Use Case: Grafana visualizes metrics collected by Prometheus, enabling users to create interactive dashboards for monitoring Kubernetes clusters and applications.
Grafana offers a collection of prebuilt dashboards for Kubernetes monitoring, available on its official dashboard repository. These dashboards provide:
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Node health and performance metrics.
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Pod-level monitoring (CPU, memory, and network usage).
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Cluster-wide overviews of resource utilization.
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Example Dashboards:
- Kubernetes Cluster Monitoring (Prometheus): Provides insights into CPU, memory, and pod metrics at the cluster level.
- Node Exporter Full: Focuses on node-specific metrics, such as disk I/O and memory usage.