🐣 Crawl: Deploying Kubernetes on DigitalOcean
As a Solutions Architect working with complex network automation platforms, I’ve always loved pushing the edge of what’s possible. But this series isn’t about enterprise polish or vendor demos — it’s about getting my hands dirty, testing real-world concepts, and sharing every step (and misstep) along the way.
In this first post, we’ll start at the “Crawl” stage: launching a managed Kubernetes cluster on DigitalOcean as the foundation for our lab. No custom controllers, no CNI tricks — just raw infrastructure and curiosity.
Let’s build this from the ground up. 🐣
🚀 Why DigitalOcean?
- ✅ Managed K8s: Control plane is handled for you.
- 💸 Affordable: Great for labs and hobby projects.
- 🔗 GitHub Integration: Plays well with CI/CD.
- 🧠 Simple UX: Clean dashboard, intuitive workflow.
🛠️ Step-by-Step Deployment
1. Create Your Cluster
- Log in to your DigitalOcean dashboard
- Navigate to Kubernetes > Create Cluster
- Choose:
- Latest stable version
- Node pool (3x nodes, e.g., 2 vCPUs + 4GB RAM)
- Region (I used NYC3)
- Enable auto-upgrades (optional but recommended)
2. Install and Configure doctl
brew install doctl
Authenticate your DigitalOcean account
doctl auth init
3. Get Your Kubeconfig
kubectl
installation, please refer to the official kubernetes docsTo authenticate kubectl
with your new cluster, run:
doctl kubernetes cluster kubeconfig save <your-cluster-name>
4. Verify Access to the Cluster
Now test your connection to the cluster:
kubectl get nodes
Here is an example from my lab.
> kubectl get nodes
NAME STATUS ROLES AGE VERSION
pool-42jzkx9cx-6s71k Ready <none> 3m34s v1.32.2
kubectl config get-contexts
to see your active cluster.🧠 What I Learned in the Crawl Phase
Kubeconfig access is step zero for everything that follows.
Managed K8s saves time — don’t overcomplicate the start.
doctl makes cluster management smooth and scriptable.
This is your launchpad — don’t stress about perfection yet.
Next up: Walk — turning this blank canvas into a network topology playground with Containerlab running natively in Kubernetes. Stay tuned 👣