Playing around with a demo for my talk "Choosing cloud native technologies for the journey to multi-cloud"

Enter at your own peril. 🙈

1. Install golang-migrate

2. Complete Step 1 and Step 2 from the official docs to set up locally on Kubernetes.

3. Setup the Cockroach SQL client.

   kubectl create -f https://raw.githubusercontent.com/cockroachdb/cockroach-operator/master/examples/client-secure-operator.yaml

4. Open a shell into the Cockroach SQL client pod

   kubectl exec -it cockroachdb-client-secure -- ./cockroach sql --certs-dir=/cockroach/cockroach-certs --host=cockroachdb-public

5. In the SQL shell, create database and user. Then, quit the shell using \q

   CREATE DATABASE payments;
   CREATE USER roach WITH PASSWORD 'payments-r-us';
   GRANT admin TO roach;

6. Set up port forwarding locally

   kubectl port-forward service/cockroachdb-public 26257

7. Run the payments app. go run main.go

8. Turn everything off with minikube stop or minikube delete.

9. Run client & server without Kubernetes

   docker-compose up

10. Run client & server with Kubernetes

    kubectl apply -f k8s
    kubectl port-forward service/totally-real-multi-cloud-payments-client-service 8080:8080
    kubectl port-forward service/nats 4222:4222
    kubectl get deployments
    kubectl get pods

1. Build the docker images

docker build -t totally-real-multi-cloud-payments-client -f ./docker/client/Dockerfile .
docker build -t totally-real-multi-cloud-payments-server -f ./docker/server/Dockerfile .

1. Tag the image

docker tag totally-real-multi-cloud-payments-client classicaddetz/totally-real-multi-cloud-payments-client:1.0.0
docker tag totally-real-multi-cloud-payments-server classicaddetz/totally-real-multi-cloud-payments-server:1.0.0

1. Login to DockerHub

docker login

1. Push the image to DockerHub

docker push classicaddetz/totally-real-multi-cloud-payments-client:1.0.0
docker push classicaddetz/totally-real-multi-cloud-payments-server:1.0.0

Dirty database version: open SQL terminal and run

drop table schema_migrations;

• Deploying a containerized Go app on Kubernetes
• Deploy a Local Cluster with Kubernetes
• Networking in Kubernetes