A Walk in the Clouds
Push a button and get everything in the cloud? 
Recently I joined Coursera’s GCP courses for helping the migration of some services to the GCP cloud. Because of past experience I had some concept of AWS, however GCP world is still pretty new for me. Thus I create a note here for myself to learn AWS, Azure and GCP.
| AWS | Azure | GCP | |
|---|---|---|---|
| IAAS | ————— | ————– | ————– |
| Server | EC2 | Azure Virtual Machine | Compute Engine |
| OS images | AWS Marketplace | Azure Marketplace | Marketplace |
| Object storage | S3 | Blob Storage | Cloud Storage |
| Relational Database | RDS | Azure Database | Cloud SQL/spanner |
| DNS | Route 53 | Azure DNS | Cloud DNS |
| Serverless | Lambda | Azure Functions | Cloud Functions |
| NoSQL database | Document DB, Dynamo DB, Simpler DB | Table Storage, CosmosDB | Cloud Bigtable, DataStore |
| Queue | MSK | Kafka on HDInsight | Apache Kafka, Google pub/sub |
| permission | IAM (by account) |
Azure Active Directory (by organization) |
Cloud IAM (by project) |
| monitoring | Cloudwatch | Azure Monitor | Stackdriver |
| PAAS | ————— | ————– | ————– |
| platform | Elastic Beanstalk | App Services | App Engine |
| Container Orchestration | EKS | AKS | GKE |
| Multi Cloud | EKS Anywhere | Azure Migrate | Anthos |
The major goal of my GCP course study is Kubernetes, K8. The concept of k8 can be simplified by the following drawing:
However, deploying K8 requires some hosts. If you’d like to play your own K8 for free, other than signing up free trial AWS, one way is to enable K8 in docker desktop and install Dashboard. Or you can setup K3s (a lightweight K8 replacement, armv7 binaries available) dashboard on Raspberry Pi. Here are steps based on Anthony’s step on Debian 10:
$ sudo apt upgrade -y
$ sudo apt install -y docker.io
$ sudo docker info
$ sudo sed -i \
'$ s/$/ cgroup_enable=cpuset cgroup_enable=memory cgroup_memory=1 swapaccount=1/' \
/boot/cmdline.txt
$ sudo reboot
$ curl -sfL https://get.k3s.io | sh -
# Create a namespace and and switch to it
$ kubectl create namespace kubernetes-dashboard
$ kubens kubernetes-dashboard
# Deploy from the official source
$ kubectl apply -f https://raw.githubusercontent.com/kubernetes/dashboard/v2.2.0/aio/deploy/recommended.yaml
$ kubectl patch deployment kubernetes-dashboard -n kubernetes-dashboard --type 'json' -p '[{"op": "add", "path": "/spec/template/spec/containers/0/args/-", "value": "--enable-skip-login"}]'
$ kubectl proxy
K3s dashboard, http://localhost:8001/api/v1/namespaces/kubernetes-dashboard/services/https:kubernetes-dashboard:/proxy/#/overview?namespace=_all, on my local Raspberry Pi 3B+ is very slow, but it’s surely fun!