Container Architecture
Purpose of this Document
This document defines the container architecture for [System Name], including containerization strategy, orchestration, and operational considerations.
Container Strategy Overview
Containerization Goals:
- [Goal 1, e.g., "Consistent deployment across environments"]
- [Goal 2, e.g., "Improved resource utilization"]
- [Goal 3, e.g., "Simplified scaling"]
Key Principles:
- [Principle 1, e.g., "Immutable infrastructure"]
- [Principle 2, e.g., "Single responsibility"]
- [Principle 3, e.g., "Security by default"]Container Platform
Platform:
Orchestration: [Kubernetes/Nomad/ECS/etc.]
Version: [Platform version]
Distribution: [Distribution, e.g., EKS, AKS, Rancher]
Registry:
Provider: [ECR/Docker Hub/GitHub Container Registry/etc.]
Security: [Image scanning approach]
Access Control: [Access management approach]
Base Images:
- Name: [Image name]
Version: [Version policy]
Source: [Origin]
Purpose: [Use cases]
Security: [Scanning/hardening approach]
- Name: [Additional base image]
# Similar structure as above
Standards:
Image Security:
- Scanning: [Tools and process]
- CVE Management: [Approach to vulnerabilities]
- Signing: [Image signing approach]
- Admission Control: [Image validation process]
Resource Management:
- Requests: [Standard approach]
- Limits: [Standard approach]
- Quotas: [Usage quotas]
Health Checks:
- Liveness: [Requirements]
- Readiness: [Requirements]
- Startup: [Requirements]Container Architecture
graph TD
subgraph "Development"
A[Source Code]
B[Build Pipeline]
C[Container Image]
end
subgraph "Container Platform"
D[Container Registry]
E[Orchestrator]
F[Service Mesh]
subgraph "Workloads"
G[App Containers]
H[Sidecar Proxies]
I[Service Containers]
end
end
A --> B
B --> C
C --> D
D --> E
E --> G
E --> H
E --> I
F --- H
Container Orchestration
@startuml
package "Container Platform" {
[Container Registry] as CR
[Orchestrator] as Orch
[Service Mesh] as SM
[Ingress Controller] as IC
[Config Management] as CM
[Secret Management] as SM2
package "Workloads" {
[App Containers] as App
[Sidecar Proxies] as SP
[Service Containers] as Svc
}
}
[CI/CD] --> CR
CR --> Orch
Orch --> App
Orch --> SP
Orch --> Svc
SM --> SP
IC --> SP
CM --> App
SM2 --> App
@enduml
Container Deployment Patterns
Deployment Patterns:
- Pattern: Sidecar
Description: Helper container extends main container
Use Cases: Logging, monitoring, configuration
Example: Proxy sidecar for service mesh
- Pattern: Ambassador
Description: Proxy for external services
Use Cases: API connection management, rate limiting
Example: Database connection pooling
- Pattern: Adapter
Description: Standardizes output from main container
Use Cases: Monitoring, logging normalization
Example: Log format standardization
- Pattern: Init Container
Description: Runs before main containers
Use Cases: Setup, dependency checks, migrations
Example: Database schema migrationExample Kubernetes Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: example-app
labels:
app: example-app
spec:
replicas: 3
selector:
matchLabels:
app: example-app
template:
metadata:
labels:
app: example-app
spec:
containers:
- name: app
image: example/app:1.0.0
ports:
- containerPort: 8080
resources:
requests:
memory: "128Mi"
cpu: "100m"
limits:
memory: "256Mi"
cpu: "500m"
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 30
periodSeconds: 10
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
securityContext:
runAsNonRoot: true
allowPrivilegeEscalation: false
capabilities:
drop:
- ALL
- name: sidecar
image: example/sidecar:1.0.0
# Sidecar configurationResource Management
Container Policies:
Resources:
CPU:
Requests: [Standard request values by container type]
Limits: [Standard limit values by container type]
Ratio: [Guideline for limit:request ratio]
Memory:
Requests: [Standard request values by container type]
Limits: [Standard limit values by container type]
Ratio: [Guideline for limit:request ratio]
Storage:
Volumes:
- Type: [Volume type]
Use Case: [When to use]
Sizing: [Guidelines]
- Type: [Additional volume type]
# Similar structure as above
Networking:
Policy: [Network policy approach]
CNI: [Container Network Interface plugin]
Security:
- Ingress/Egress rules
- Microsegmentation approach
- Service Mesh integration
Monitoring:
Metrics:
Collector: [Prometheus/Datadog/etc.]
Standard Metrics: [Key metrics collected]
Custom Metrics: [Application-specific metrics]
Logging:
Collector: [Fluentd/Logstash/etc.]
Format: [Standard log format]
Destination: [Where logs are sent]Security Considerations
Container Security:
Build Time:
- Base Image Selection: [Criteria and approach]
- Dependency Scanning: [Tool and process]
- Secret Detection: [Tool and process]
- Image Scanning: [Tool and process]
Deploy Time:
- Image Signatures: [Verification approach]
- Admission Control: [Policy enforcement]
- Secret Management: [Approach to secrets]
- RBAC: [Access control model]
Runtime:
- Security Contexts: [Required settings]
- Pod Security Standards: [Applied standards]
- Runtime Protection: [Runtime security tools]
- Network Policies: [Isolation approach]Operational Considerations
Day 2 Operations:
Scaling:
- Horizontal Pod Autoscaler: [Configuration approach]
- Vertical Pod Autoscaler: [Configuration approach]
- Cluster Autoscaler: [Configuration approach]
Updates:
- Rolling Updates: [Strategy]
- Canary Deployments: [Strategy]
- Blue/Green Deployments: [Strategy]
Reliability:
- Pod Disruption Budgets: [Approach]
- Liveness/Readiness: [Best practices]
- Anti-affinity: [Strategy]
- Topology Spread: [Approach]
Monitoring:
- Container Health: [Key metrics]
- Application Health: [Key metrics]
- Alerting: [Critical conditions]Container Best Practices
- Image Size
- Use minimal base images (Alpine, Distroless)
- Multi-stage builds to reduce size
- Remove unnecessary tools and packages
- Configuration
- Externalize configuration
- Use environment variables or config maps
- Avoid hardcoded configs
- Security
- Run as non-root user
- Use read-only file systems where possible
- Drop unnecessary capabilities
- Scan images for vulnerabilities
- Resource Management
- Set appropriate resource requests and limits
- Use init containers for setup tasks
- Configure liveness and readiness probes
- Logging
- Log to stdout/stderr
- Use structured logging (JSON)
- Include correlation IDs for tracing
Example Dockerfile
# Build stage
FROM node:16-alpine AS build
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY . .
RUN npm run build
# Production stage
FROM node:16-alpine
WORKDIR /app
COPY --from=build /app/dist ./dist
COPY --from=build /app/node_modules ./node_modules
COPY package.json ./
# Set non-root user
USER node
# Set environment variables
ENV NODE_ENV=production
ENV PORT=8080
# Expose ports
EXPOSE 8080
# Define health check
HEALTHCHECK --interval=30s --timeout=3s \
CMD wget -q -O - http://localhost:8080/health || exit 1
# Define entrypoint
CMD ["node", "dist/main.js"]