Table of contents

Running Checkly on Kubernetes

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We advise running any production-grade Checkly Agent deployments on a container orchestrator like Kubernetes. To help you get started, we created the checkly-k8s repo which contains a Helm chart and a few example Kubernetes manifests.

Prerequisites

You’ve created a Private Location and have an API key.
A running Kubernetes cluster
Helm if you are using Helm charts.

Now, clone the repo with the examples:

git clone https://github.com/checkly/checkly-k8s.git
cd checkly-k8

Helm chart

Find the Helm chart in the /helm-chart directory. The Helm chart does two basic things:

Creates a secret for the API key.
Spins up two pods running the Checkly Agent

Assuming you have Helm set up to point at your K8S cluster, run it with the following command, making sure you replace the apikey="pl_..." with your Checkly Private Location API key.

helm install checkly-agent --set apiKey="pl_..."  ./helm-chart

Kubernetes manifests

If you are not using Helm, you can also use K8S manifest files to create your preferred cluster setup for the Checkly Agent. Here is a rundown of the manifest files you can find in the repo:

agentSecret.yaml

Creates a secret containing the API key your agents use to connect to the private location. The pod and deployment manifests are configured to use this secret.

agentPod.yaml

Creates a single pod running the Checkly agent. Connects to the Private Location using the API key specified in agentSecret.yaml. Uses the latest image.

This is a quick way to test the Checkly Agent on your cluster. Be aware, if the container exits, it will not automatically restarted.

agentDeployment.yaml

Create a deployment of Checkly agent pods (default: 2). Connects to the private location using the API key specified in agentSecret.yaml). Uses the latest image. Rolling updates are enabled.

checklyNamespace.yaml

Optional but recommended - Creates a namespace for the Checkly agent resources. Make sure to have NetworkPolicies in place to your other namespaces.

Checkly Agent Configuration Scaling and Redundancy on Private Locations

Last updated on November 21, 2024. You can contribute to this documentation by editing this page on Github