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DevOps & Infra
kubernetes

Kubernetes

GoOpen SourceCloudSelf-hosted

The de facto standard for container orchestration at scale. Kubernetes automates deployment, scaling, and management of containerized applications. Steep learning curve but unmatched power for large systems.

License

Apache 2.0

Language

Go

99
Trust
Excellent

Why Kubernetes?

You're running many services that need automated scaling

You need self-healing, rolling deployments, and zero-downtime updates

Your cloud provider offers managed K8s (GKE, EKS, AKS)

Signal Breakdown

What drives the Trust Score

GitHub releases
18M / mo
Commits (90d)
892 commits
GitHub stars
112k ★
Stack Overflow
64k q's
Community
Very High
Weighted Trust Score99 / 100

Download Trend

Last 12 months

Tradeoffs & Caveats

Know before you commit

You're a small team — the ops overhead is significant

A single service would do (Docker + Railway/Fly.io is simpler)

You need to move fast and can't invest in cluster management

Pricing

Free tier & paid plans

Free tier

Open-source, free to self-host

Paid

Cloud: GKE ~$0.10/hr cluster mgmt

Managed K8s adds ~$70-150/mo overhead

Alternative Tools

Other options worth considering

docker
Docker93Excellent

The industry standard for containerizing applications. Docker packages your app and its dependencies into portable containers that run consistently everywhere — from a developer laptop to production Kubernetes.

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Often Used Together

Complementary tools that pair well with Kubernetes

docker

Docker

DevOps & Infra

93Excellent
View
github-actions

GitHub Actions

DevOps & Infra

50Limited
View
aws

AWS

Cloud Platforms

94Excellent
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gcp

Google Cloud Platform

Cloud Platforms

93Excellent
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terraform

Terraform

DevOps & Infra

84Strong
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Learning Resources

Docs, videos, tutorials, and courses

Kubernetes Docs

docs

GitHub repo

github

Kubernetes interactive tutorial

tutorial

Get Started

Repository and installation options

View on GitHub

github.com/kubernetes/kubernetes

brewbrew install kubectl
scriptcurl -LO https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl

Quick Start

Copy and adapt to get going fast

# Apply a manifest
kubectl apply -f deployment.yaml

# Check rollout status
kubectl rollout status deployment/my-app

# Scale a deployment
kubectl scale deployment my-app --replicas=5

# View logs
kubectl logs -l app=my-app --tail=100 -f

Code Examples

Common usage patterns

Service + Ingress

Expose a deployment via a ClusterIP service and Ingress

# service.yaml
apiVersion: v1
kind: Service
metadata:
  name: my-app
spec:
  selector:
    app: my-app
  ports:
    - port: 80
      targetPort: 3000
---
# ingress.yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: my-app
  annotations:
    nginx.ingress.kubernetes.io/rewrite-target: /
spec:
  rules:
  - host: myapp.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: my-app
            port:
              number: 80

ConfigMap & Secret

Inject config and secrets as environment variables

apiVersion: v1
kind: Secret
metadata:
  name: my-app-secrets
type: Opaque
stringData:
  DATABASE_URL: postgres://user:pass@host:5432/db
---
# Reference in Deployment
env:
- name: DATABASE_URL
  valueFrom:
    secretKeyRef:
      name: my-app-secrets
      key: DATABASE_URL

Horizontal Pod Autoscaler

Auto-scale pods based on CPU usage

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: my-app-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: my-app
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 60

Community Notes

Real experiences from developers who've used this tool