Skip to content

Latest commit

 

History

History
53 lines (47 loc) · 2.02 KB

installation-macos.md

File metadata and controls

53 lines (47 loc) · 2.02 KB
Raw

Konveyor local installation guide for MacOS using Minikube & Podman

Prerequisites:

Installation:

  1. Initialize podman machine using the below config
podman machine init --cpus 2 --memory 10240 --disk-size 20
podman machine set --rootful
podman machine start
  1. Create a Minikube cluster with podman as the driver option minikube start --memory=9g --driver podman
  2. Install ingress addon minikube addons enable ingress
  3. Install OLM to manage Konveyor operator curl -sL https://github.com/operator-framework/operator-lifecycle-manager/releases/download/v0.21.2/install.sh | bash -s v0.21.2
  4. Install Konveyor operator kubectl create -f https://operatorhub.io/install/konveyor-operator.yaml
  5. Verify if the Konveyor operator pod is running or not kubectl get pods -n my-konveyor-operator
  6. Once the operator pod is running, create a Tackle instance using the following
cat << EOF | kubectl apply -f -
kind: Tackle
apiVersion: tackle.konveyor.io/v1alpha1
metadata:
  name: tackle
  namespace: my-konveyor-operator
spec:
  feature_auth_required: false
EOF
  1. Wait until Tackle pods are in running state
$ kubectl get pods -n my-konveyor-operator
NAME                                           READY   STATUS      RESTARTS   AGE
tackle-hub-7f7cc9d574-b5kkl                    1/1     Running     0          109m
tackle-operator-56c574d689-jmvs7               1/1     Running     0          111m
tackle-pathfinder-7688f4ddc5-wmv9v             1/1     Running     0          109m
tackle-pathfinder-postgresql-fbd985767-glx8k   1/1     Running     0          109m
tackle-ui-5bdb565bcd-g6gsr                     1/1     Running     0          109m
task-1-x6fmv                                 0/1     Completed   0          4m6s
  1. Once they are running, access the Tackle UI, kubectl port-forward service/tackle-ui 8080:8080 -n my-konveyor-operator

Note: add --address param if using aws ec2 instances