Prerequisites: You need a functioning Qovery cluster before starting this tutorial.
This tutorial takes approximately 3 minutes to complete.
Step 1. Add the Kubecost Helm Repository
Add the Kubecost Helm repository in Qovery:- Go to your Organization settings
- Select Helm Repositories
- Click Add Repository
- Enter the repository details:
- Name: Kubecost
- Repository URL:
https://kubecost.github.io/cost-analyzer/
- Click Create
Step 2. Deploy the Kubecost Helm Chart
Create a new Helm service in your environment:- Navigate to your Environment
- Click Create → Helm
-
Configure the Helm service:
- Service name: kubecost
- Source: Kubecost (the repository you just added)
- Chart name:
cost-analyzer - Chart version:
1.108.0 - Allow cluster-wide resources: Enable
-
(Optional) If you have a Kubecost token:
- Create an environment variable named
KUBECOST_TOKEN - Set it as Secret
- Enter your token value
- Create an environment variable named
-
If using a token, add this in the Values override section:
- Click Create and wait for the deployment to complete
Step 3. Expose Kubecost
To access the Kubecost interface, you need to expose it publicly:- Once deployed, check the Deployment logs to find the service name

helm-z325f0565-kubecost-cost-analyzer
- Go to your Helm service Settings → Port
- Click Add Port

-
Configure the port:
- Service name: The service name from step 1 (e.g.,
helm-z325f0565-kubecost-cost-analyzer) - Service port:
9090 - Protocol:
HTTP - Publicly exposed: Enable
- Service name: The service name from step 1 (e.g.,
- Click Create
- After redeployment, you’ll see a public link to access Kubecost

Conclusion
You’ve successfully deployed Kubecost on your Qovery cluster. You can now access the Kubecost dashboard to monitor your Kubernetes costs and get optimization recommendations. To learn more about using Kubecost, check out their Getting Started guide.Next Steps
Kubecost Documentation
Learn more about Kubecost features
Optimize
Optimization strategies with Qovery
Qovery Observe
Built-in observability
Datadog
Advanced monitoring with Datadog