Rapid iterative development with Tilt
Overview
This document describes how to use kind and Tilt for a simplified workflow that offers easy deployments and rapid iterative builds.
Prerequisites
- Container Runtime Interface
- kind v0.9 or newer (other clusters can be
used if
preload_images_for_kind
is set to false) - kustomize
- Tilt v0.30.8 or newer
- envsubst or similar to handle clusterctl var replacement
- Clone the Cluster API repository locally
- Clone the cluster-api-provider-ibmcloud repository you want to deploy locally as well
If the user prefers to have Podman as the CRI, then follow the steps listed below:
- Emulate Docker CLI with Podman: Instructions can be found here
- On
Mac OS
migrate from Docker to Podman: Instructions can be found here.
1. Create Podman machine
$ podman machine init
$ podman machine start
2. Configure podman to use local registry
$ podman machine ssh
$ sudo vi /etc/containers/registries.conf
## at the end of the file add below content
[[registry]]
location = "localhost:5001"
insecure = true
3. Restart Podman machine
podman machine stop
podman machine start
Create a kind cluster
First, make sure you have a kind cluster and that your KUBECONFIG
is set up correctly.
Note: Execute the following from the
cluster-api-provider-ibmcloud
respository.
make kind-cluster
This local cluster will host the cluster-api controllers, which makes it the management cluster. The management cluster can be used to create and manage workload clusters on IBM Cloud.
Create a tilt-settings.yaml file
Next, create a tilt-settings.yaml
file and place it in your local copy of cluster-api
. Here is an example:
Example tilt-settings.yaml
for CAPI-IBM clusters:
Make sure to set a valid API key for the field IBMCLOUD_API_KEY
.
default_registry: "gcr.io/you-project-name-here"
provider_repos:
- ../cluster-api-provider-ibmcloud
enable_providers:
- ibmcloud
- kubeadm-bootstrap
- kubeadm-control-plane
kustomize_substitutions:
IBMCLOUD_API_KEY: "XXXXXXXXXXXXXXXXXX"
Add following extra_args to log PowerVS REST API Requests/Responses
extra_args:
ibmcloud:
- '-v=5'
Different flavors of deploying workload clusters using CAPIBM.
Note: Currently, both ClusterClass and ClusterResourceset are experimental features.
1. Configuration to deploy workload cluster with external cloud controller manager
To deploy workload cluster with cloud controller manager, set PROVIDER_ID_FORMAT
to v2
and enable cluster resourceset feature gate by setting EXP_CLUSTER_RESOURCE_SET
to `true under kustomize_substitutions.
default_registry: "gcr.io/you-project-name-here"
provider_repos:
- ../cluster-api-provider-ibmcloud
enable_providers:
- ibmcloud
- kubeadm-bootstrap
- kubeadm-control-plane
kustomize_substitutions:
IBMCLOUD_API_KEY: "XXXXXXXXXXXXXXXXXX"
PROVIDER_ID_FORMAT: "v2"
EXP_CLUSTER_RESOURCE_SET: "true"
2. Configuration to deploy workload cluster from ClusterClass template
To deploy workload cluster with clusterclass-template, set the PROVIDER_ID_FORMAT
to v2
and enable the feature gates EXP_CLUSTER_RESOURCE_SET
and CLUSTER_TOPOLOGY
to true
under kustomize_substitutions.
default_registry: "gcr.io/you-project-name-here"
provider_repos:
- ../cluster-api-provider-ibmcloud
enable_providers:
- ibmcloud
- kubeadm-bootstrap
- kubeadm-control-plane
kustomize_substitutions:
IBMCLOUD_API_KEY: "XXXXXXXXXXXXXXXXXX"
PROVIDER_ID_FORMAT: "v2"
EXP_CLUSTER_RESOURCE_SET: "true"
CLUSTER_TOPOLOGY: "true"
3. Configuration to deploy workload cluster with Custom Service Endpoint
To deploy workload cluster with Custom Service Endpoint, Set SERVICE_ENDPOINT
environmental variable in semi-colon separated format: ${ServiceRegion}:${ServiceID1}=${URL1},${ServiceID2}=${URL2...}
default_registry: "gcr.io/you-project-name-here"
provider_repos:
- ../cluster-api-provider-ibmcloud
enable_providers:
- ibmcloud
- kubeadm-bootstrap
- kubeadm-control-plane
kustomize_substitutions:
IBMCLOUD_API_KEY: "XXXXXXXXXXXXXXXXXX"
SERVICE_ENDPOINT: "us-south:vpc=https://us-south-stage01.iaasdev.cloud.ibm.com,powervs=https://dal.power-iaas.test.cloud.ibm.com,rc=https://resource-controller.test.cloud.ibm.com"
IBMCLOUD_AUTH_URL: "https://iam.test.cloud.ibm.com"
4. Configuration to use observability tools
- cluster-api provides support for deploying observability tools, More information about it is available in cluster-api book.
default_registry: "gcr.io/you-project-name-here"
deploy_observability:
- promtail
- loki
- grafana
- prometheus
provider_repos:
- ../cluster-api-provider-ibmcloud
enable_providers:
- ibmcloud
- kubeadm-bootstrap
- kubeadm-control-plane
kustomize_substitutions:
IBMCLOUD_API_KEY: "XXXXXXXXXXXXXXXXXX"
PROVIDER_ID_FORMAT: "v2"
EXP_CLUSTER_RESOURCE_SET: "true"
extra_args:
core:
- "--logging-format=json"
- "--v=5"
kubeadm-bootstrap:
- "--v=5"
- "--logging-format=json"
kubeadm-control-plane:
- "--v=5"
- "--logging-format=json"
ibmcloud:
- "--v=5"
- "--logging-format=json"
NOTE: For information about all the fields that can be used in the tilt-settings.yaml
file, check them here.
Run Tilt
To launch your development environment, run:
tilt up
Kind cluster becomes a management cluster after this point, check the pods running on the kind cluster by running kubectl get pods -A
.
Create workload clusters
To provision your workload cluster, check the Creating a cluster
section for VPC and PowerVS.
After deploying it, check the tilt logs and wait for the clusters to be created.
Clean up
Before deleting the kind cluster, make sure you delete all the workload clusters.
kubectl delete cluster <clustername>
tilt up (ctrl-c)
kind delete cluster