CDK8s for type-safe Kubernetes manifests using Python. Use when building complex K8s applications programmatically, generating manifests from code, creating reusable infrastructure patterns, or managing multi-environment deployments.
Scanned 2/12/2026
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---
name: cdk8s-apps
description: CDK8s for type-safe Kubernetes manifests using Python. Use when building complex K8s applications programmatically, generating manifests from code, creating reusable infrastructure patterns, or managing multi-environment deployments.
---
# CDK8s Applications
Define Kubernetes applications using Python instead of YAML. cdk8s (Cloud Development Kit for Kubernetes) is a CNCF Sandbox project that provides type-safe, programmable infrastructure for Kubernetes.
## Overview
**What is cdk8s?**
- Define K8s resources using Python, TypeScript, JavaScript, Java, or Go
- Synthesizes to standard Kubernetes YAML manifests
- Works with any Kubernetes cluster (cloud-agnostic)
- Built on the same concepts as AWS CDK
- CNCF Sandbox project (GA since October 2021)
**Key Benefits:**
- **Type Safety**: Catch configuration errors at development time
- **IDE Support**: Autocomplete, inline docs, refactoring
- **Reusability**: Create custom constructs for common patterns
- **Testability**: Unit test infrastructure code
- **Reduced Boilerplate**: Intent-driven APIs vs verbose YAML
**When to Use cdk8s:**
- Complex applications with multiple microservices
- Multi-environment deployments (dev/staging/prod)
- Reusable component libraries
- Teams preferring code over YAML
- EKS deployments integrated with AWS CDK
## Quick Start
### Installation
```bash
# Install cdk8s CLI (requires Node.js 18+)
npm install -g cdk8s-cli
# Initialize Python project
cdk8s init python-app
cd my-cdk8s-app
# Install dependencies
pip install -r requirements.txt
```
### Your First Application
```python
#!/usr/bin/env python3
from constructs import Construct
from cdk8s import App, Chart
from cdk8s_plus_27 import Deployment, ContainerProps
class WebApp(Chart):
def __init__(self, scope: Construct, id: str):
super().__init__(scope, id)
# Create deployment with 3 replicas
deployment = Deployment(
self, "web",
replicas=3,
containers=[
ContainerProps(
image="nginx:1.21",
port=80
)
]
)
# Expose as LoadBalancer service
deployment.expose_via_service(port=80)
# Synthesize to YAML
app = App()
WebApp(app, "my-app")
app.synth()
```
### Synthesize and Deploy
```bash
# Generate Kubernetes manifests
cdk8s synth
# Review generated YAML
cat dist/my-app.k8s.yaml
# Deploy to cluster
kubectl apply -f dist/
```
## Core Concepts
### Constructs Hierarchy
cdk8s uses three levels of constructs:
**L1 Constructs (Low-Level)**
- Auto-generated from Kubernetes API
- Direct mapping to K8s resources
- Full control, verbose syntax
```python
from imports import k8s
k8s.KubeDeployment(
self, "deployment",
spec=k8s.DeploymentSpec(
replicas=3,
selector=k8s.LabelSelector(match_labels={"app": "web"}),
template=k8s.PodTemplateSpec(...)
)
)
```
**L2 Constructs (High-Level - cdk8s-plus)**
- Hand-crafted, intent-driven APIs
- Automatic relationship management
- Reduced boilerplate
```python
from cdk8s_plus_27 import Deployment, ContainerProps
Deployment(
self, "deployment",
replicas=3,
containers=[ContainerProps(image="nginx", port=80)]
)
```
**L3 Constructs (Custom Abstractions)**
- Your own reusable components
- Encapsulate organizational patterns
```python
class WebService(Construct):
def __init__(self, scope, id, image, replicas=3):
super().__init__(scope, id)
# Compose deployment + service + ingress
```
### Apps and Charts
**App**: Root container for all charts
**Chart**: Represents a single Kubernetes manifest file
```python
app = App()
# Each chart → separate YAML file
dev_chart = MyChart(app, "dev", namespace="development")
prod_chart = MyChart(app, "prod", namespace="production")
app.synth() # Generates dist/dev.k8s.yaml and dist/prod.k8s.yaml
```
### Import Custom Resources
Import CRDs, Helm charts, and external definitions:
```bash
# Import Kubernetes API
cdk8s import k8s
# Import CRD from URL
cdk8s import https://raw.githubusercontent.com/aws-controllers-k8s/s3-controller/main/helm/crds/s3.services.k8s.aws_buckets.yaml
# Import Helm chart
cdk8s import helm:https://charts.bitnami.com/bitnami/redis@18.2.0
# Import from GitHub
cdk8s import github:crossplane/crossplane@0.14.0
```
## Common Workflows
### Workflow 1: Simple Web Application
```python
from cdk8s import App, Chart
from cdk8s_plus_27 import Deployment, ConfigMap, EnvValue, ContainerProps
class WebApp(Chart):
def __init__(self, scope, id):
super().__init__(scope, id)
# Configuration
config = ConfigMap(
self, "config",
data={
"DATABASE_HOST": "postgres.default.svc",
"LOG_LEVEL": "info"
}
)
# Deployment
deployment = Deployment(
self, "web",
replicas=3,
containers=[
ContainerProps(
image="myapp:v1.0",
port=8080,
env_variables={
"DATABASE_HOST": EnvValue.from_config_map(
config, "DATABASE_HOST"
)
}
)
]
)
# Expose as service
deployment.expose_via_service(port=80, target_port=8080)
app = App()
WebApp(app, "web-app")
app.synth()
```
### Workflow 2: Multi-Environment Deployment
```python
from cdk8s import App, Chart
from cdk8s_plus_27 import Deployment, ContainerProps
class MyApp(Chart):
def __init__(self, scope, id, env, replicas, image_tag):
super().__init__(scope, id, namespace=env)
Deployment(
self, "app",
replicas=replicas,
containers=[
ContainerProps(
image=f"myapp:{image_tag}",
port=8080
)
]
)
app = App()
# Development
MyApp(app, "dev", env="development", replicas=1, image_tag="dev")
# Staging
MyApp(app, "staging", env="staging", replicas=2, image_tag="v1.2.3-rc")
# Production
MyApp(app, "prod", env="production", replicas=5, image_tag="v1.2.3")
app.synth()
```
### Workflow 3: Custom Reusable Construct
```python
from constructs import Construct
from cdk8s_plus_27 import (
Deployment, Service, ConfigMap, Secret,
ContainerProps, EnvValue, ServiceType
)
class MicroserviceApp(Construct):
"""Reusable microservice with deployment, service, and config."""
def __init__(
self,
scope: Construct,
id: str,
image: str,
replicas: int = 3,
port: int = 8080,
config: dict = None,
secrets: dict = None
):
super().__init__(scope, id)
# ConfigMap
if config:
cfg = ConfigMap(self, "config", data=config)
# Secret
if secrets:
sec = Secret(self, "secret", string_data=secrets)
# Build env vars
env_vars = {}
if config:
for key in config.keys():
env_vars[key] = EnvValue.from_config_map(cfg, key)
if secrets:
for key in secrets.keys():
env_vars[key] = EnvValue.from_secret_value(key, sec)
# Deployment
self.deployment = Deployment(
self, "deployment",
replicas=replicas,
containers=[
ContainerProps(
image=image,
port=port,
env_variables=env_vars
)
]
)
# Service
self.service = self.deployment.expose_via_service(
service_type=ServiceType.CLUSTER_IP,
port=port
)
# Usage
from cdk8s import App, Chart
class MyChart(Chart):
def __init__(self, scope, id):
super().__init__(scope, id)
# Deploy 3 microservices with one construct
MicroserviceApp(
self, "frontend",
image="myapp/frontend:v1",
replicas=5,
config={"API_URL": "http://api:8080"}
)
MicroserviceApp(
self, "api",
image="myapp/api:v1",
replicas=3,
secrets={"DATABASE_PASSWORD": "supersecret"}
)
MicroserviceApp(
self, "worker",
image="myapp/worker:v1",
replicas=2
)
app = App()
MyChart(app, "microservices")
app.synth()
```
## Testing
### Unit Tests with pytest
```python
# tests/test_chart.py
import pytest
from cdk8s import Testing
from app import MyChart
def test_deployment_has_correct_replicas():
chart = Testing.chart()
MyChart(chart)
manifests = Testing.synth(chart)
deployment = [m for m in manifests if m["kind"] == "Deployment"][0]
assert deployment["spec"]["replicas"] == 3
def test_service_exposes_correct_port():
chart = Testing.chart()
MyChart(chart)
manifests = Testing.synth(chart)
service = [m for m in manifests if m["kind"] == "Service"][0]
assert service["spec"]["ports"][0]["port"] == 80
```
### Policy Validation
```python
def test_no_latest_tags():
"""Enforce no :latest image tags"""
chart = Testing.chart()
MyChart(chart)
manifests = Testing.synth(chart)
for manifest in manifests:
if manifest["kind"] == "Deployment":
containers = manifest["spec"]["template"]["spec"]["containers"]
for container in containers:
assert not container["image"].endswith(":latest")
def test_all_containers_have_resource_limits():
"""Enforce resource limits"""
chart = Testing.chart()
MyChart(chart)
manifests = Testing.synth(chart)
for manifest in manifests:
if manifest["kind"] == "Deployment":
containers = manifest["spec"]["template"]["spec"]["containers"]
for container in containers:
assert "resources" in container
assert "limits" in container["resources"]
```
## CI/CD Integration
### GitHub Actions
```yaml
# .github/workflows/deploy.yml
name: Deploy to Kubernetes
on:
push:
branches: [main]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Setup Node.js
uses: actions/setup-node@v3
with:
node-version: '18'
- name: Setup Python
uses: actions/setup-python@v4
with:
python-version: '3.10'
- name: Install dependencies
run: |
npm install -g cdk8s-cli
pip install -r requirements.txt
- name: Synthesize manifests
run: cdk8s synth
- name: Deploy to EKS
run: kubectl apply -f dist/
```
## Integration with AWS CDK (EKS)
Deploy cdk8s apps directly to EKS clusters:
```python
from aws_cdk import Stack, aws_eks as eks
from constructs import Construct
import cdk8s
from my_k8s_app import MyK8sChart
class EksStack(Stack):
def __init__(self, scope: Construct, id: str):
super().__init__(scope, id)
# Create EKS cluster with AWS CDK
cluster = eks.Cluster(
self, "Cluster",
version=eks.KubernetesVersion.V1_28
)
# Define K8s app with cdk8s
cdk8s_app = cdk8s.App()
k8s_chart = MyK8sChart(cdk8s_app, "app")
# Bridge: Deploy cdk8s chart to EKS
cluster.add_cdk8s_chart("my-app", k8s_chart)
```
## Best Practices
### 1. Pin Versions
```python
# requirements.txt
cdk8s==2.70.26
cdk8s-plus-27==2.7.84 # Match your K8s version
constructs>=10.0.0
```
### 2. Use Explicit Names
```python
# ❌ Dangerous: Renaming ID recreates resource
Deployment(self, "app-v2", ...)
# ✅ Safe: Use explicit name metadata
from imports import k8s
Deployment(
self, "app-v2",
metadata=k8s.ObjectMeta(name="app") # Stable name
)
```
### 3. Separate Environments
```python
class ProdChart(Chart):
def __init__(self, scope, id):
super().__init__(
scope, id,
namespace="production",
labels={"env": "prod"}
)
```
### 4. Test Before Deploying
```bash
# Dry-run validation
kubectl apply --dry-run=client -f dist/
# Run unit tests
pytest tests/
# GitOps review
git diff dist/
```
## Common Commands
```bash
# Initialize project
cdk8s init python-app
# Import K8s API
cdk8s import k8s
# Import CRD
cdk8s import https://example.com/crd.yaml
# Import Helm chart
cdk8s import helm:https://charts.example.com/chart@1.0.0
# Synthesize manifests
cdk8s synth
# Watch mode (auto-synth)
cdk8s synth --watch
# Deploy
kubectl apply -f dist/
# Validate
kubectl apply --dry-run=client -f dist/
```
## Version Compatibility
| cdk8s-plus | Kubernetes | Python | Node.js |
|------------|------------|--------|---------|
| cdk8s-plus-27 | 1.27+ | 3.7+ | 18+ |
| cdk8s-plus-28 | 1.28+ | 3.7+ | 18+ |
| cdk8s-plus-29 | 1.29+ | 3.7+ | 18+ |
## When to Use cdk8s vs Alternatives
**Use cdk8s when:**
- Complex applications with multiple components
- Development teams prefer code over YAML
- Need reusable component libraries
- Testing infrastructure code is important
- Integrating with AWS CDK for EKS
**Use Helm when:**
- Need existing community charts
- Simple templating is sufficient
- Package distribution required
**Use Kustomize when:**
- Simple overlays needed
- Transparent YAML modifications
- Minimal learning curve important
**Use Raw YAML when:**
- Very simple applications
- One-off deployments
- No reusability needed
## Quick Reference
### Available Constructs (cdk8s-plus)
**Workloads**: `Deployment`, `StatefulSet`, `DaemonSet`, `Job`, `CronJob`, `Pod`
**Services**: `Service`, `Ingress`
**Config**: `ConfigMap`, `Secret`, `EnvValue`
**Storage**: `Volume`, `PersistentVolume`, `PersistentVolumeClaim`
**RBAC**: `ServiceAccount`, `Role`, `ClusterRole`, `RoleBinding`, `ClusterRoleBinding`
**Scaling**: `HorizontalPodAutoscaler`
**Networking**: `NetworkPolicy`
## Detailed Guides
For in-depth information, see:
- **[Getting Started Guide](references/getting-started.md)** - Installation, project setup, and basics
- **[Constructs Guide](references/constructs.md)** - L1/L2/L3 constructs, cdk8s-plus, imports
- **[Patterns Guide](references/patterns.md)** - Real-world patterns and best practices
## Resources
**Official Documentation:**
- [cdk8s.io](https://cdk8s.io/) - Official website
- [GitHub](https://github.com/cdk8s-team/cdk8s) - Source code
- [API Reference](https://cdk8s.io/docs/latest/reference/) - API documentation
- [Examples](https://cdk8s.io/docs/latest/examples/) - Code examples
**AWS Resources:**
- [Introducing CDK for Kubernetes](https://aws.amazon.com/blogs/containers/introducing-cdk-for-kubernetes/)
- [cdk8s+ Intent-driven APIs](https://aws.amazon.com/blogs/containers/introducing-cdk8s-intent-driven-apis-for-kubernetes-objects/)
**Community:**
- [CNCF Project Page](https://www.cncf.io/projects/cdk-for-kubernetes-cdk8s/)
- [Slack Channel](https://cdk8s.io/community/)
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