Skip to main content
Version: 2.19

Telepresence Quickstart

Telepresence is an open source tool that enables you to set up remote development environments for Kubernetes where you can still use all of your favorite local tools like IDEs, debuggers, and profilers.

Prerequisites

  • kubectl, the Kubernetes command-line tool, or the OpenShift Container Platform command-line interface, oc.
  • A Kubernetes Deployment and Service.

Install Telepresence

Follow Install Client and Install Traffic Manager instructions to install the telepresence client on your workstation, and the traffic manager in your cluster.

Intercept Your Service

With Telepresence, you can create intercepts that intercept all traffic going to a service in your remote cluster and route it to your local environment instead.

  1. Connect to your cluster with telepresence connect and connect to the Kubernetes API server. A 401 response code is expected and indicates that the service could be reached:

    $ telepresence connect
    connected to context <your-context>

    Terminal
    $ curl -ik https://kubernetes.default
    HTTP/1.1 401 Unauthorized
    Cache-Control: no-cache, private
    Content-Type: application/json
    ...

    You now have access to your remote Kubernetes API server as if you were on the same network. You can now use any local tools to connect to any service in the cluster.

  2. Enter telepresence list and make sure the service you want to intercept is listed. For example:

    telepresence list
    ...
    example-service: ready to intercept (traffic-agent not yet installed)
    ...
  3. Get the name of the port you want to intercept on your service: kubectl get service <service name> --output yaml.

    For example:

    Terminal
    $ kubectl get service example-service --output yaml
    ...
    ports:
    - name: http
    port: 80
    protocol: TCP
    targetPort: http
    ...
  4. Intercept all traffic going to the service in your cluster:

    telepresence intercept <service-name> --port <local-port>[:<remote-port>] --env-file <path-to-env-file>`
    • For --port: specify the port the local instance of your service is running on. If the intercepted service exposes multiple ports, specify the port you want to intercept after a colon.
    • For --env-file: specify a file path for Telepresence to write the environment variables that are set in the pod. The example below shows Telepresence intercepting traffic going to service example-service. Requests now reach the service on port http in the cluster get routed to 8080 on the workstation and write the environment variables of the service to ~/example-service-intercept.env.
    $ telepresence intercept example-service --port 8080:http --env-file ~/example-service-intercept.env
    Using Deployment example-service
    intercepted
    Intercept name: example-service
    State : ACTIVE
    Workload kind : Deployment
    Destination : 127.0.0.1:8080
    Intercepting : all TCP connections
  5. Start your local environment using the environment variables retrieved in the previous step.

The following are some examples of how to pass the environment variables to your local process:

  • Docker: enter docker run and provide the path to the file using the --env-file argument. For more information about Docker run commands, see the Docker command-line reference documentation.
  • Visual Studio Code: specify the path to the environment variables file in the envFile field of your configuration.
  • JetBrains IDE (IntelliJ, WebStorm, PyCharm, GoLand, etc.): use the EnvFile plugin.
  1. Query the environment in which you intercepted a service and verify your local instance being invoked. All the traffic previously routed to your Kubernetes Service is now routed to your local environment

🎉 You've Unlocked a Faster Development Workflow for Kubernetes with Telepresence

Now, with Telepresence, you can:

  • Make changes on the fly and see them reflected when interacting with your remote Kubernetes environment, this is just like hot reloading, but it works across both local and remote environments.
  • Query services and microservice APIs that are only accessible in your remote cluster's network.
  • Set breakpoints in your IDE and re-route remote traffic to your local machine to investigate bugs with realistic user traffic and API calls.
tip

Didn't work? Make sure the port you're listening on matches the one you specified when you created your intercept.

What’s Next?