Unlocking kubelet_* Metrics from EKS and GKE

Discover how to effectively gather and scrape `kubelet_*` metrics from EKS and GKE clusters using Prometheus. Learn the necessary configurations and best practices.
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Unlocking kubelet_* Metrics from EKS and GKE: A Comprehensive Guide

In the world of container orchestration with Kubernetes, monitoring the performance and health of your clusters is paramount. One crucial component of this monitoring involves accessing kubelet_* metrics, especially within Amazon's EKS (Elastic Kubernetes Service) and Google's GKE (Google Kubernetes Engine) environments. However, many Kubernetes administrators face challenges when trying to scrape these metrics for analysis. In this guide, we will tackle the problem and provide you with a clear, step-by-step solution.

The Problem: Accessing kubelet_* Metrics

While tools like metrics-server and kube-state-metrics provide valuable insights into cluster performance, they unfortunately do not expose kubelet metrics directly to Prometheus. Many users are left wondering how to retrieve these vital statistics. The kubelet itself is the entity that exposes these metrics, but understanding how to access them effectively is where the confusion often lies.

To illustrate, a user has noted that they can execute a raw query on the node level to obtain this information. However, this approach is not practical, and the desire to avoid writing a custom exporter is evident.

The Solution: Scraping kubelet_* Metrics

To effectively gather kubelet_* metrics from your EKS or GKE clusters, you need to configure your Prometheus to scrape these metrics directly from the kubelet. Below, we have detailed the steps required to successfully set this up.

Step 1: Know the Kubelet Metrics Endpoints

Kubelet exposes several metrics endpoints that you can utilize. These include:

Default Metrics: Available on port 10250 at the path /metrics.

cAdvisor Metrics: Available at /metrics/cadvisor.

Resource Metrics: Accessible via /metrics/resource.

Probes Metrics: Found at /metrics/probes.

These endpoints provide rich insights into the performance and resource usage of your nodes.

Step 2: Create a Prometheus Configuration

To scrape these metrics, you need to configure your Prometheus instance with the correct settings. The following example configuration outlines how to set this up:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Key Components of Configuration

job_name: This is the identifier for the scrape job, allowing you to target the kubelet metrics specifically.

scheme: Specified as https to ensure secure communication with the kubelet endpoints.

tls_config and bearer_token_file: These settings are crucial for authentication and securing your metrics data.

kubernetes_sd_configs: This enables Kubernetes service discovery for nodes.

relabel_configs: Maps Kubernetes node labels to Prometheus labels, making it easier to filter and analyze metrics.

Step 4: Validate the Setup

Once you've updated your Prometheus configuration with the details above, make sure to validate your setup. Check Prometheus targets to ensure that the kubelet metrics are being scraped correctly. You should see the kubelet target appearing with up status indicating successful scraping.

Conclusion

Accessing kubelet_* metrics in EKS and GKE can be straightforward when you have the right information and setup in place. By utilizing Prometheus and configuring it to scrape from kubelet endpoints, you can unlock a treasure trove of metrics that provide vital insights into the health and performance of your Kubernetes clusters.

With these steps, you're now equipped to enhance your monitoring capabilities and take a proactive approach to cluster management. Happy monitoring!

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