docs/main/administration-guide/configure/calls-kubernetes.mdx
This guide provides detailed information for deploying Mattermost Calls on Kubernetes environments.
Mattermost Calls has been designed to integrate with Kubernetes for improved scalability and control over the deployment. Using the RTCD service is the only supported deployment model.
This diagram shows how the RTCD standalone service can be deployed in a Kubernetes cluster. In this architecture:
If Mattermost isn't already deployed in your Kubernetes cluster and you want to use this deployment type, visit the Kubernetes operator guide.
The recommended way to deploy Calls-related components in a Kubernetes environment is to use the officially provided Helm charts:
The RTCD Helm chart deploys the RTCD service needed for call media handling:
helm repo add mattermost https://helm.mattermost.com
helm repo update
helm install mattermost-rtcd mattermost/mattermost-rtcd \
--set service.annotations."service\\.beta\\.kubernetes\\.io/aws-load-balancer-backend-protocol"=udp
For complete configuration options, see the RTCD Helm chart documentation.
If you need call recording and transcription capabilities, deploy the calls-offloader service:
helm install mattermost-calls-offloader mattermost/mattermost-calls-offloader \
--set ingress.enabled=true \
--set ingress.host=calls-offloader.example.com
For complete configuration options, see the Calls-Offloader Helm chart documentation.
For Kubernetes deployments, you need to ensure specific connectivity paths:
Resource requirements for RTCD pods depend heavily on the expected call volume, participant count, and whether screen sharing is used.
We strongly recommend reviewing the Performance Baselines to determine the appropriate CPU, memory, and network requests and limits for your specific deployment needs rather than relying on generic defaults.
Horizontal scaling of RTCD pods is possible, but remember:
Due to the inherent complexities of hosting a WebRTC service, some limitations apply when deploying Calls in a Kubernetes environment.
One key requirement is that each rtcd process must live in a dedicated Kubernetes node. This is necessary to forward the data correctly while allowing for horizontal scaling. Data should generally direct directly to the pod running the rtcd process, as routing this traffic through a standard ingress is not recommended for RTCD deployments.
The general recommendation is to expose one external IP address per rtcd instance (Kubernetes node). This makes it simpler to scale as the application is able to detect its own external address (through STUN) and advertise it to clients to achieve connectivity with minimal configuration.
For detailed information on metrics collection and monitoring, see the Calls Metrics and Monitoring guide.
For Kubernetes-specific troubleshooting:
kubectl logs -f deployment/mattermost-rtcdkubectl port-forward service/mattermost-rtcd 8045:8045For detailed logging guidance, see the Calls Logging guide.