Kubernetes Monitoring With KloudMate
Monitoring metrics and logs within a Kubernetes cluster is extremely important to ensure everything is running well, resources are being used efficiently, and the overall health of the cluster is maintained.
By monitoring different parts of the system and the numbers that represent their performance, you can learn useful things, fix problems, make sure that resources such as memory and CPU are being used wisely, and ensure your Kubernetes setup is working nicely.
In this guide, we're going to look at the main things that Kubernetes keeps an eye on, the critical numbers that tell us how they are doing, who is allowed to see these stats, and how to set up a tool called OpenTelemetry Collector to collect these numbers and send them to a particular place called Prometheus or Cortex, which helps us to make sense of it all.
Kubernetes Components to Monitor:
The OpenTelemetry Collector offers a variety of tools to help with monitoring Kubernetes. Some of the most important components for collecting Kubernetes data.
- kubeletstats receivers
- k8sobjects receiver
- hostmetrics receiver
- kubernetes cluster receiver
- filelog receiver
- Prometheus receiver
These components are crucial components to monitoring the Kubernetes cluster.
Following are the steps to integrate OpenTelemetry with your cluster:
Step 1: Install certificate manager.
Step 2: Install open telemetry operator.
Step 3: Enable kubestate-metrics and node exporter by which Prometheus receiver can scrape the available k8s resources and node-level metrics.
Step 4: Enable Kubernetes audit log for better log response. Click here to enable the audit log.
Step 5: The below configuration will create the required configuration and send Kubernetes telemetry data to KloudMate.
This configuration provided for the OpenTelemetry collector collects metrics and logs from all the mentioned components and then transmits these metrics to the KloudMate backend.
By using OpenTelemetry Collector alongside appropriate RBAC authorization, you can effectively gather and send out metrics. This process provides valuable information about resource usage, performance, and the overall well-being of the cluster.