Day 22 - How to Manage Hundreds of Kubernetes Clusters — Using KOPS
🎯 1. What Is the Problem?
In real-world production environments, DevOps engineers must:
Create
Upgrade
Configure
Delete
Kubernetes clusters — across multiple environments (dev, staging, prod).
Managing these life cycles manually (especially at scale) is complex.
Hence, automation tools like KOPS are used.
🧩 2. Why Not Minikube, Kind, K3s, or MicroK8s?
These are lightweight, single-node setups meant for learning and development only.
They lack:
High availability
Multi-node support
Production-grade fault tolerance
Scalability and security controls
📌 In short:
Minikube / K3s / Kind = Local dev use only
KOPS / EKS / OpenShift / Rancher = Production-ready systems
🏗️ 3. Kubernetes in Production (Distributions)
Just like Linux has distributions (Ubuntu, Red Hat, Amazon Linux),
Kubernetes also has multiple distributions.
| Type | Example | Managed by | Support |
| Open Source (DIY) | Kubernetes (k8s) | Community | Limited |
| Enterprise / Managed | EKS (AWS), AKS (Azure), GKE (Google), OpenShift (Red Hat), Tanzu (VMware), Rancher (SUSE) | Vendors | 24×7 Vendor support |
💡 Why use distributions?
Provide enterprise support
Manage security patches
Simplify setup and upgrades
Offer ready-to-use integrations
🧠 4. Common Production Scenarios
Organizations may have:
Hundreds of Kubernetes clusters
Or one large cluster with thousands of nodes
Managed solutions (EKS, GKE, AKS) cost a lot when scaled.
Hence, many companies use open-source Kubernetes with tools like KOPS to manage lifecycle operations.
⚖️ 5. Kubernetes vs EKS
| Aspect | Kubernetes (Self-managed) | EKS (Managed by AWS) |
| Installation | You install it manually (e.g., KOPS, Kubeadm) | AWS handles installation |
| Maintenance | You manage upgrades, HA, scaling | AWS manages control plane |
| Cost | Cheaper, but you manage | More expensive, managed |
| Support | Community / self-managed | AWS support |
| Flexibility | Full control | Limited (AWS integrated only) |
🟩 Key Point:
EKS = Kubernetes + AWS management + Paid support
KOPS = Kubernetes + Full control + Open source management
⚙️ 6. What Is KOPS?
KOPS = Kubernetes Operations Tool
A CLI tool that automates the creation, management, and lifecycle of Kubernetes clusters on AWS and other clouds.
✳️ KOPS manages:
Cluster creation
Configuration changes
Upgrades
Node scaling
Cluster deletion
KOPS stores all cluster configuration in an S3 bucket, which acts as the cluster state store.
🧰 7. Why KOPS Is Popular
| Feature | Description |
| Lifecycle Management | Handles create, update, delete easily |
| Automation | Minimal manual configuration |
| Multi-cluster support | Manage 100s of clusters centrally |
| Cloud integration | AWS, GCP, DigitalOcean supported |
| Open-source | No licensing fees |
| Infrastructure as Code | Configurations stored in YAML, reusable |
🪜 8. Pre-requisites Before Using KOPS
Before creating a cluster with KOPS, ensure you have:
🔧 Software Requirements:
Python 3
AWS CLI
kubectl
KOPS
☁️ AWS Requirements:
AWS account access
IAM user (Admin or with following policies):
AmazonEC2FullAccessAmazonS3FullAccessIAMFullAccessAmazonVPCFullAccess
AWS CLI configured via:
aws configure
📦 9. Step-by-Step Setup with KOPS
Step 1️⃣: Create an S3 Bucket for Cluster State
KOPS stores cluster metadata in S3.
aws s3 mb s3://kops-state-store-1
Step 2️⃣: Export the S3 Bucket Path
export KOPS_STATE_STORE=s3://kops-state-store-1
Step 3️⃣: Create the Kubernetes Cluster Definition
kops create cluster \
--name=k8s.local \
--zones=us-east-1a \
--node-count=2 \
--node-size=t2.micro \
--master-size=t2.micro \
--state=s3://kops-state-store-1
Step 4️⃣: Build (Launch) the Cluster
kops update cluster k8s.local --yes
⏱️ This process takes several minutes — KOPS provisions EC2 instances, networking, security groups, IAM roles, etc.
🧩 10. Domain Considerations
KOPS requires a domain name (for the cluster API endpoint).
You can use:
| Environment | Example Domain |
| Local / Demo | k8s.local |
| Production | prod.example.com or company.com |
If using a real domain:
Purchase it (e.g., GoDaddy)
Configure DNS in AWS Route 53
Create a hosted zone:
aws route53 create-hosted-zone --name dev.example.com
💰 11. Cost Caution
⚠️ KOPS uses AWS resources:
EC2 instances
EBS volumes
S3 buckets
Route 53 entries
🧾 These all incur AWS billing, even in free-tier accounts.
Tip:
If you only want to learn, stop after the “create cluster” step — do not run the final “update cluster” command.
🧱 12. KOPS in the Real World
Used by DevOps teams for multi-environment orchestration.
Commonly manages:
Dev, QA, Staging, and Production clusters
Clusters across multiple AWS accounts or regions
Supports upgrades via:
kops upgrade cluster kops rolling-update clusterSupports deletion via:
kops delete cluster --name=<cluster-name> --yes
🧭 13. Comparison: Other Installation Tools
| Tool | Purpose |
| Kubeadm | Manual cluster setup, great for learning |
| KOPS | Automated production setup & management |
| OpenShift (Ansible) | Enterprise-grade Red Hat distro |
| Rancher | UI-based multi-cluster management |
| Tanzu | VMware enterprise platform |
🧩 14. Interview Tip
When asked about Kubernetes setup in production, say:
“In our organization, we manage multiple Kubernetes clusters using KOPS on AWS.
KOPS handles the full lifecycle — creation, configuration, upgrades, and deletion.
For staging and testing, we use.k8s.localdomains, and for production we use Route 53 hosted domains likeprod.company.com.”
🧠 15. In Summary
| Feature | Description |
| KOPS Full Form | Kubernetes Operations |
| Purpose | Automates lifecycle management of Kubernetes clusters |
| Primary Use | Managing 100s of clusters in production |
| Where Used | AWS (mainly), GCP, DigitalOcean |
| Alternatives | Kubeadm, Rancher, OpenShift, Tanzu |
| State Storage | S3 bucket |
| Domain Management | Route 53 or local DNS |
| Key Advantage | Simple automation for complex cluster management |
✅ Final One-Liner Summary:
KOPS is a powerful open-source tool used by DevOps engineers to create, manage, and scale hundreds of production-grade Kubernetes clusters — providing automation, versioning, and reliability without managed-service costs.