Use when writing Dockerfiles, setting up docker-compose for local dev, configuring Kubernetes resources (Deployment, Service, Ingress, HPA), sizing pod resource limits, or packaging a service with Helm.
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---
name: containerization
description: "Use when writing Dockerfiles, setting up docker-compose for local dev, configuring Kubernetes resources (Deployment, Service, Ingress, HPA), sizing pod resource limits, or packaging a service with Helm."
---
# Containerization
Package and orchestrate services with Docker and Kubernetes using production-ready patterns for image builds, local development, cluster deployments, and autoscaling.
## When to Activate
- Writing or reviewing a Dockerfile for a service
- Setting up docker-compose for local development
- Writing Kubernetes manifests for a new service
- Deploying to a Kubernetes cluster
- Sizing CPU/memory requests and limits for a pod
- Setting up a Helm chart
- Optimizing Docker image build time or image size
## Dockerfile Best Practices
### Multi-Stage Builds
Multi-stage builds keep build-time tools out of the final image, reducing attack surface and image size.
**Python**
```dockerfile
# Stage 1: build dependencies
FROM python:3.12-slim AS builder
WORKDIR /app
COPY pyproject.toml uv.lock ./
RUN pip install uv && uv sync --frozen --no-dev
# Stage 2: runtime image
FROM python:3.12-slim AS runtime
WORKDIR /app
COPY --from=builder /app/.venv /app/.venv
COPY src/ ./src/
ENV PATH="/app/.venv/bin:$PATH"
USER 1000:1000
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=5s CMD curl -f http://localhost:8000/health || exit 1
ENTRYPOINT ["python", "-m", "uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8000"]
```
**Node.js / TypeScript**
```dockerfile
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --include=dev
COPY . .
RUN npm run build
FROM node:20-alpine AS runtime
WORKDIR /app
COPY package*.json ./
RUN npm ci --omit=dev
COPY --from=builder /app/dist ./dist
USER node
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=5s CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]
```
**Go (smallest possible image)**
```dockerfile
FROM golang:1.22-alpine AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . .
RUN CGO_ENABLED=0 GOOS=linux go build -ldflags="-w -s" -o /app/server ./cmd/server
FROM gcr.io/distroless/static-debian12 AS runtime
COPY --from=builder /app/server /server
EXPOSE 8080
USER nonroot:nonroot
ENTRYPOINT ["/server"]
```
### Layer Caching Order
Docker caches each layer. If a layer's input changes, all subsequent layers are invalidated. Copy dependency manifests before source code so that the expensive dependency-install step is only re-run when dependencies actually change, not on every source edit.
```dockerfile
# BAD — source copy before dependency install; every code change busts the npm ci cache
COPY . .
RUN npm ci
# GOOD — copy only the manifest first; npm ci cache survives source-only changes
COPY package*.json ./
RUN npm ci
COPY . .
```
The same principle applies to all runtimes:
| Runtime | Copy first | Then install |
|---------|-----------|--------------|
| Python (uv) | `pyproject.toml uv.lock` | `uv sync --frozen` |
| Node | `package*.json` | `npm ci` |
| Go | `go.mod go.sum` | `go mod download` |
### .dockerignore
Always create a `.dockerignore` at the repo root. Files excluded here are never sent to the Docker build context, speeding up builds and preventing accidental secret leaks.
```dockerignore
.git
.gitignore
.env
*.env
__pycache__
*.pyc
node_modules
dist
build
.pytest_cache
.coverage
*.log
README.md
```
### Base Image Selection
| Image | Size | Vulnerability surface | Best for |
|-------|------|----------------------|----------|
| `ubuntu:22.04` | ~80 MB | High | Dev/debug only |
| `debian:bookworm-slim` | ~75 MB | Medium | General purpose |
| `python:3.12-slim` | ~150 MB | Medium | Python apps |
| `node:20-alpine` | ~170 MB | Low | Node apps |
| `alpine:3.19` | ~7 MB | Very low | Custom builds |
| `gcr.io/distroless/static-debian12` | ~2 MB | Minimal | Go static binaries |
| `gcr.io/distroless/python3-debian12` | ~80 MB | Minimal | Python (no shell!) |
Pin to digest for reproducibility in production:
```dockerfile
FROM python:3.12-slim@sha256:abc123...
```
## docker-compose for Local Development
Use docker-compose for wiring together the application and its backing services locally. Keep secrets in `.env` (gitignored) and load them via `env_file`.
```yaml
version: '3.9'
services:
app:
build:
context: .
target: runtime # use multi-stage target
ports:
- "8000:8000"
env_file:
- .env
environment:
DATABASE_URL: postgresql://user:pass@db:5432/appdb
depends_on:
db:
condition: service_healthy
redis:
condition: service_healthy
volumes:
- ./src:/app/src # hot-reload in dev
profiles:
- dev
db:
image: postgres:16-alpine
environment:
POSTGRES_USER: user
POSTGRES_PASSWORD: pass
POSTGRES_DB: appdb
volumes:
- postgres_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U user -d appdb"]
interval: 5s
timeout: 3s
retries: 5
redis:
image: redis:7-alpine
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 3s
retries: 5
volumes:
postgres_data:
```
**Profiles.** Use `profiles` to mark optional services. Start only what you need:
```bash
docker compose --profile dev up
```
**Override file.** Create `docker-compose.override.yml` for local-only tweaks (e.g., mounting a local SDK, exposing extra ports). Add it to `.gitignore` so it never ships.
```yaml
# docker-compose.override.yml (gitignored)
services:
app:
environment:
DEBUG: "true"
volumes:
- ../my-local-sdk:/app/vendor/sdk
```
## Kubernetes Core Resources
### Deployment
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: payment-service
namespace: production
spec:
replicas: 3
selector:
matchLabels:
app: payment-service
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1
maxUnavailable: 0 # zero-downtime: always have full capacity during rollout
template:
metadata:
labels:
app: payment-service
spec:
containers:
- name: payment-service
image: ghcr.io/org/payment-service:abc123
ports:
- containerPort: 8000
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 256Mi
envFrom:
- configMapRef:
name: payment-service-config
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: payment-service-secrets
key: database-url
readinessProbe:
httpGet:
path: /health/ready
port: 8000
initialDelaySeconds: 5
periodSeconds: 10
livenessProbe:
httpGet:
path: /health/live
port: 8000
initialDelaySeconds: 30
periodSeconds: 30
failureThreshold: 3
```
### Service
```yaml
apiVersion: v1
kind: Service
metadata:
name: payment-service
namespace: production
spec:
selector:
app: payment-service
ports:
- port: 80
targetPort: 8000
type: ClusterIP # internal only; use LoadBalancer for external
```
**Service type reference:**
| Type | Accessibility | Use case |
|------|--------------|----------|
| `ClusterIP` | Cluster-internal only | Internal services |
| `NodePort` | External via node IP:port | Dev/testing |
| `LoadBalancer` | External via cloud LB | Prod external services |
| `ExternalName` | DNS alias | Off-cluster services |
### Ingress
```yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: payment-service
annotations:
cert-manager.io/cluster-issuer: letsencrypt-prod
spec:
tls:
- hosts:
- api.example.com
secretName: api-tls-cert
rules:
- host: api.example.com
http:
paths:
- path: /payments
pathType: Prefix
backend:
service:
name: payment-service
port:
number: 80
```
### ConfigMap and Secret
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: payment-service-config
data:
LOG_LEVEL: "INFO"
APP_ENV: "production"
---
apiVersion: v1
kind: Secret
metadata:
name: payment-service-secrets
type: Opaque
data:
database-url: <base64-encoded-value> # echo -n "postgresql://..." | base64
```
Never commit Secrets to git. Use one of:
- [sealed-secrets](https://github.com/bitnami-labs/sealed-secrets) — encrypts Secret with a cluster key; safe to commit
- [external-secrets-operator](https://external-secrets.io) — syncs from AWS Secrets Manager / GCP Secret Manager / Vault
- Vault agent injection — sidecar writes secrets to an in-memory volume
## Resource Management
### Requests vs Limits
| Field | Purpose | What happens when exceeded |
|-------|---------|---------------------------|
| `requests.cpu` | Guaranteed CPU; used for scheduling | N/A — node selection only |
| `limits.cpu` | Maximum CPU the container may use | Throttled (not killed) |
| `requests.memory` | Guaranteed memory; used for scheduling | N/A — node selection only |
| `limits.memory` | Maximum memory the container may use | OOMKilled (pod restarted) |
- **Requests** are what the scheduler uses to decide which node a pod lands on.
- **Limits** are enforced at runtime by the kernel cgroup.
- Setting `limits.memory` without headroom above `requests.memory` invites spurious OOMKills under GC pressure.
### QoS Classes
Kubernetes assigns a QoS class based on how requests and limits are configured. Higher QoS = last to be evicted under node memory pressure.
| Class | Condition | Eviction priority |
|-------|-----------|------------------|
| `Guaranteed` | `requests == limits` for every resource | Last to be evicted |
| `Burstable` | `requests < limits` for at least one resource | Middle |
| `BestEffort` | No requests or limits set at all | First to be evicted |
For critical services, set `requests == limits` to achieve `Guaranteed` QoS. For batch jobs or low-priority workers, `Burstable` is acceptable.
## Health Probes
| Probe | What it checks | Failure action |
|-------|---------------|----------------|
| `readinessProbe` | Is pod ready to receive traffic? | Remove from Service endpoints |
| `livenessProbe` | Is pod alive? | Restart pod |
| `startupProbe` | Has pod finished starting? (slow-starting apps) | Replaces liveness until started |
**Common mistake:** setting `livenessProbe.failureThreshold` too low (e.g., `2` with `periodSeconds: 10`) causes restart loops during slow GC pauses or transient DB query spikes. For most services, `failureThreshold: 3` with `periodSeconds: 30` is a safer baseline.
```yaml
# BAD — aggressive liveness; 20 seconds of GC pause triggers restart
livenessProbe:
httpGet:
path: /health/live
port: 8000
periodSeconds: 10
failureThreshold: 2
# GOOD — tolerates 90 seconds of unresponsiveness before restarting
livenessProbe:
httpGet:
path: /health/live
port: 8000
initialDelaySeconds: 30
periodSeconds: 30
failureThreshold: 3
```
## HorizontalPodAutoscaler
HPA scales the replica count based on observed metrics. Requires the metrics-server addon (or custom metrics adapter for non-CPU metrics).
```yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: payment-service
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: payment-service
minReplicas: 2
maxReplicas: 20
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
```
HPA only works correctly when `requests.cpu` is set — it calculates utilization as `actual / request`. Without a CPU request, HPA cannot compute a meaningful ratio and will not scale.
## Helm Basics
Helm packages Kubernetes manifests into versioned, parameterised charts.
**Chart structure:**
```
mychart/
├── Chart.yaml # metadata (name, version, appVersion)
├── values.yaml # default values
├── templates/
│ ├── deployment.yaml
│ ├── service.yaml
│ └── _helpers.tpl # reusable template snippets
```
**Key commands:**
```bash
helm install my-release ./mychart --values prod-values.yaml
helm upgrade my-release ./mychart --values prod-values.yaml
helm rollback my-release 1
helm diff upgrade my-release ./mychart # requires helm-diff plugin
```
**values.yaml pattern — expose only what varies per environment:**
```yaml
# values.yaml
image:
repository: ghcr.io/org/payment-service
tag: latest # override per environment with --set image.tag=abc123
replicaCount: 3
resources:
requests:
cpu: 100m
memory: 128Mi
limits:
cpu: 500m
memory: 256Mi
```
Override at release time without editing the chart:
```bash
helm upgrade my-release ./mychart \
--values prod-values.yaml \
--set image.tag=abc123
```
## Security Context
Apply `securityContext` at both the pod level and the container level. The settings below satisfy most CIS Kubernetes Benchmark requirements.
```yaml
# pod-level: applies to all containers in the pod
spec:
securityContext:
runAsNonRoot: true
runAsUser: 1000
runAsGroup: 1000
seccompProfile:
type: RuntimeDefault
containers:
- name: app
# container-level: overrides/extends pod-level settings
securityContext:
readOnlyRootFilesystem: true
allowPrivilegeEscalation: false
capabilities:
drop: ["ALL"]
```
If `readOnlyRootFilesystem: true` causes write errors, mount an explicit `emptyDir` volume for the specific writable path rather than disabling the restriction:
```yaml
# BAD — disabling readOnly to allow one directory to be writable
securityContext:
readOnlyRootFilesystem: false
# GOOD — keep readOnly, mount emptyDir for the specific path
securityContext:
readOnlyRootFilesystem: true
volumeMounts:
- name: tmp
mountPath: /tmp
volumes:
- name: tmp
emptyDir: {}
```
> See also: `ci-cd`, `deployment-strategies`, `security`
## Red Flags
- **Running the container process as root** — a process breakout inside the container inherits root on the host; always set `USER 1000:1000` (or `USER node`) in the final Dockerfile stage
- **Copying the entire build context before installing dependencies** — `COPY . .` before `RUN npm ci` busts the layer cache on every source change, making every build a full cold install
- **Using `latest` tag in Kubernetes manifests** — `imagePullPolicy: Always` with `latest` means different nodes may pull different images across a rolling deploy; pin to a commit SHA or versioned tag
- **Setting `limits.memory` equal to `requests.memory` with no headroom** — a JVM or Python GC spike briefly exceeds the request value; without headroom the pod is OOMKilled and restarted during normal operation
- **Liveness probe with low `failureThreshold` (1–2) and short `periodSeconds` (5–10)** — a slow GC pause or cold DB query triggers an unnecessary pod restart loop; use `failureThreshold: 3` and `periodSeconds: 30` as a baseline
- **Storing Kubernetes Secrets as plain base64 in git** — base64 is not encryption; use Sealed Secrets or external-secrets-operator so plaintext values never enter version control
- **No `.dockerignore`** — the full build context (including `.git`, `node_modules`, `.env`) is sent to the Docker daemon on every build, leaking secrets and adding seconds of unnecessary transfer
- **HPA configured without CPU `requests` set** — HPA calculates utilization as `actual / request`; a missing request means the denominator is undefined and the autoscaler cannot make scaling decisions
## Checklist
- [ ] Multi-stage Dockerfile used — build tools not in final image
- [ ] Source files copied after dependency files (layer cache optimization)
- [ ] Non-root user set in Dockerfile (`USER 1000:1000` or `USER node`)
- [ ] `.dockerignore` excludes `.git`, `.env`, `node_modules`, `__pycache__`
- [ ] `HEALTHCHECK` instruction defined in Dockerfile
- [ ] All pods have `readinessProbe` and `livenessProbe` configured
- [ ] CPU and memory `requests` and `limits` set on every container
- [ ] Secrets stored in Kubernetes Secrets (or external secrets manager), not ConfigMaps
- [ ] `securityContext` sets `runAsNonRoot: true` and `allowPrivilegeEscalation: false`
- [ ] HPA configured for services with variable load
- [ ] `maxUnavailable: 0` in rolling update strategy for zero-downtime deployments
- [ ] Image tagged with commit SHA, not `latest`