After completing this guide, you will have the necessary Workspace configuration for Kelda to boot your services in the development environment. Once you have this foundation, you will be able to write the Sync configuration to deploy local versions of services.
The Workspace configuration has two parts:
- The Kubernetes YAML (e.g. Deployments and Services) that deploy your application.
workspace.yamlfile that describes what tunnels should be created in the development environment.
When Kelda boots, it initializes the development environment by:
- Reading all the Kubernetes YAML for the development environment from the Workspace directory.
- Assigning each Pod in the YAML a name that can be referenced in the rest of your configuration files.
- Creating tunnels between the local machine and remote cluster according to the tunnels in the
workspace.yaml file is from the Node Todo example application.
For more explanation on the
workspace.yaml format see the docs here.
# The version of the configuration format. This doesn't need to be changed. version: "v1alpha1" # Requests to localhost:8080 will get forwarded to port 8080 in the # web-server service. # The "web-server" service refers to the pod in the "web-server-dep.yaml" # file in the Example Directory Structure. tunnels: - serviceName: "web-server" remotePort: 8080 localPort: 8080
Example Directory Structure
The Node Todo example application has the following directory structure. Note how there’s a
workspace.yaml file, along with Kubernetes files for the mongodb and web-server microservices.
├── workspace.yaml ├── mongodb-secret.yaml ├── mongodb-statefulset.yaml ├── mongodb-svc.yaml ├── web-server-dep.yaml └── web-server-svc.yaml
If necessary, you can group your YAML in more advanced ways.
- Create the basic directory structure for your workspace configuration.
mkdir kelda-workspace echo 'version: "v1alpha1"' > kelda-workspace/workspace.yaml
- Gather your Kubernetes YAML used for deploying the services.
- If you have production Kubernetes YAML, then you’re good to go.
- If you’re using Helm, place the Helm chart in the workspace directory according to these instructions.
- If you’re using a different templating tool, you can setup Kelda to deploy the output of a script.
- If you’re using Docker Compose, use
komposeto convert your
docker-compose.ymlinto Kubernetes YAML.
Special handling for Docker Compose volumes
Edit the Docker Compose file so that it doesn’t have Docker-specific volume configuration since this is handled differently in Kubernetes.
Copy your Kubernetes YAML into the
kelda-workspacedirectory you made in step 1.
Modify your Kubernetes YAML to be suitable for the development environment.
Although any Kubernetes YAML can be used with Kelda, production deployments often need to be tweaked to be suitable for development environments. See this guide for some common changes.
If your Kubernetes YAML references private Docker images, grant Kelda access to pull them by following the instructions here.
Point your user configuration at your new workspace.
kelda-workspace directory that you created in step 1, run
and answer the questions. This will update your
~/.kelda.yaml file so that the
workspace field points at your newly created Workspace configuration.
- Test your Kubernetes YAML by deploying it with Kelda.
The following command will deploy all the services in the
workspace.yaml file. We’re using the
--no-sync flag because we haven’t written any Sync configuration yet to tell Kelda what files to sync.
kelda dev --no-sync
If all goes well, your services should enter the Ready state. If not, follow the next step to fix your Kubernetes YAML.
- Modify your Kubernetes YAML until your application behaves as expected.
To debug Kubernetes issues, access the cluster directly with
kubectl --namespace <namespace in ~/.kelda.yaml>
You will need to re-run
kelda dev in order to deploy modifications to your YAML.
- Add tunnels to your
workspace.yamlfile. These can be used to test your application.
tunnels: - serviceName: <name from 'kelda dev' output> remotePort: <port in container> localPort: <port on localhost>
You will need to re-run
kelda dev in order to deploy modifications to your