# Docker & Deployment Team Handoff: Gitea-MCP
## Overview
This document provides comprehensive deployment, containerization, and CI/CD specifications for the Gitea-MCP TypeScript server. The deployment team should implement production-ready containerization, orchestration, and automated deployment pipelines.
## Docker Configuration
### Dockerfile
```dockerfile
# Multi-stage build for optimized production image
FROM node:18-alpine AS builder
# Set working directory
WORKDIR /app
# Copy package files
COPY package*.json ./
# Install dependencies (including dev dependencies for build)
RUN npm ci --only=production && \
npm cache clean --force
# Copy source code
COPY . .
# Build the application
RUN npm run build
# Production stage
FROM node:18-alpine AS runtime
# Create non-root user for security
RUN addgroup -g 1001 -S mcp && \
adduser -S mcp -u 1001
# Set working directory
WORKDIR /app
# Copy built application and production dependencies
COPY --from=builder /app/build ./build
COPY --from=builder /app/node_modules ./node_modules
COPY --from=builder /app/package.json ./
# Create directory for logs and ensure proper permissions
RUN mkdir -p /app/logs && \
chown -R mcp:mcp /app
# Expose port (though MCP typically uses stdio)
EXPOSE 8080
# Switch to non-root user
USER mcp
# Add health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
CMD node -e "console.log('Health check passed')" || exit 1
# Set default command
CMD ["node", "build/index.js"]
```
### Docker Compose Configuration
**docker-compose.yml**
```yaml
version: '3.8'
services:
gitea-mcp:
build:
context: .
dockerfile: Dockerfile
args:
NODE_ENV: production
container_name: gitea-mcp
restart: unless-stopped
environment:
- NODE_ENV=production
- LOG_LEVEL=info
env_file:
- .env.production
volumes:
- ./logs:/app/logs
- ./config:/app/config:ro
networks:
- mcp-network
healthcheck:
test: ["CMD", "node", "-e", "console.log('Health check passed')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
security_opt:
- no-new-privileges:true
cap_drop:
- ALL
# Optional: Gitea instance for testing
gitea-test:
image: gitea/gitea:latest
container_name: gitea-test
restart: unless-stopped
environment:
- USER_UID=1000
- USER_GID=1000
- GITEA__security__INSTALL_LOCK=true
- GITEA__security__SECRET_KEY=test-secret-key-change-in-production
ports:
- "3000:3000"
- "222:22"
volumes:
- gitea-data:/data
- /etc/timezone:/etc/timezone:ro
- /etc/localtime:/etc/localtime:ro
networks:
- mcp-network
volumes:
gitea-data:
driver: local
networks:
mcp-network:
driver: bridge
```
**docker-compose.dev.yml**
```yaml
version: '3.8'
services:
gitea-mcp-dev:
build:
context: .
dockerfile: Dockerfile.dev
container_name: gitea-mcp-dev
environment:
- NODE_ENV=development
- LOG_LEVEL=debug
env_file:
- .env.development
volumes:
- .:/app
- /app/node_modules
ports:
- "9229:9229" # Debug port
command: npm run dev
networks:
- mcp-network
```
### Development Dockerfile
**Dockerfile.dev**
```dockerfile
FROM node:18-alpine
# Install development tools
RUN apk add --no-cache git
# Create app directory
WORKDIR /app
# Copy package files
COPY package*.json ./
# Install all dependencies (including dev)
RUN npm ci
# Copy source code
COPY . .
# Expose debug port
EXPOSE 9229
# Default command for development
CMD ["npm", "run", "dev"]
```
## Kubernetes Deployment
### Namespace Configuration
**k8s/namespace.yml**
```yaml
apiVersion: v1
kind: Namespace
metadata:
name: gitea-mcp
labels:
name: gitea-mcp
environment: production
```
### ConfigMap and Secrets
**k8s/configmap.yml**
```yaml
apiVersion: v1
kind: ConfigMap
metadata:
name: gitea-mcp-config
namespace: gitea-mcp
data:
NODE_ENV: "production"
LOG_LEVEL: "info"
GITEA_TIMEOUT: "30000"
GITEA_MAX_RETRIES: "3"
MAX_FILE_SIZE: "10485760"
MAX_FILES: "100"
BATCH_SIZE: "10"
```
**k8s/secret.yml**
```yaml
apiVersion: v1
kind: Secret
metadata:
name: gitea-mcp-secrets
namespace: gitea-mcp
type: Opaque
data:
# Base64 encoded values
gitea-instances: <base64-encoded-gitea-instances-json>
stringData:
# Example secret (replace with actual values)
GITEA_INSTANCES: |
[
{
"id": "production",
"name": "Production Gitea",
"baseUrl": "https://gitea.company.com",
"token": "your-production-token",
"timeout": 30000,
"rateLimit": {
"requests": 100,
"windowMs": 60000
}
}
]
```
### Deployment Configuration
**k8s/deployment.yml**
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: gitea-mcp
namespace: gitea-mcp
labels:
app: gitea-mcp
version: v1.0.0
spec:
replicas: 2
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
selector:
matchLabels:
app: gitea-mcp
template:
metadata:
labels:
app: gitea-mcp
version: v1.0.0
annotations:
prometheus.io/scrape: "true"
prometheus.io/port: "8080"
prometheus.io/path: "/metrics"
spec:
serviceAccountName: gitea-mcp
securityContext:
runAsNonRoot: true
runAsUser: 1001
runAsGroup: 1001
fsGroup: 1001
containers:
- name: gitea-mcp
image: gitea-mcp:latest
imagePullPolicy: Always
ports:
- containerPort: 8080
name: http
protocol: TCP
env:
- name: NODE_ENV
valueFrom:
configMapKeyRef:
name: gitea-mcp-config
key: NODE_ENV
- name: LOG_LEVEL
valueFrom:
configMapKeyRef:
name: gitea-mcp-config
key: LOG_LEVEL
- name: GITEA_INSTANCES
valueFrom:
secretKeyRef:
name: gitea-mcp-secrets
key: GITEA_INSTANCES
resources:
requests:
memory: "128Mi"
cpu: "100m"
ephemeral-storage: "100Mi"
limits:
memory: "512Mi"
cpu: "500m"
ephemeral-storage: "1Gi"
livenessProbe:
exec:
command:
- node
- -e
- "console.log('Health check passed')"
initialDelaySeconds: 30
periodSeconds: 10
timeoutSeconds: 5
failureThreshold: 3
readinessProbe:
exec:
command:
- node
- -e
- "console.log('Ready check passed')"
initialDelaySeconds: 5
periodSeconds: 5
timeoutSeconds: 3
failureThreshold: 3
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
runAsNonRoot: true
runAsUser: 1001
capabilities:
drop:
- ALL
volumeMounts:
- name: tmp
mountPath: /tmp
- name: logs
mountPath: /app/logs
volumes:
- name: tmp
emptyDir: {}
- name: logs
emptyDir: {}
nodeSelector:
kubernetes.io/os: linux
tolerations:
- key: "node-role.kubernetes.io/spot"
operator: "Equal"
value: "true"
effect: "NoSchedule"
```
### Service Configuration
**k8s/service.yml**
```yaml
apiVersion: v1
kind: Service
metadata:
name: gitea-mcp-service
namespace: gitea-mcp
labels:
app: gitea-mcp
spec:
type: ClusterIP
ports:
- port: 8080
targetPort: 8080
protocol: TCP
name: http
selector:
app: gitea-mcp
```
### Horizontal Pod Autoscaler
**k8s/hpa.yml**
```yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
name: gitea-mcp-hpa
namespace: gitea-mcp
spec:
scaleTargetRef:
apiVersion: apps/v1
kind: Deployment
name: gitea-mcp
minReplicas: 2
maxReplicas: 10
metrics:
- type: Resource
resource:
name: cpu
target:
type: Utilization
averageUtilization: 70
- type: Resource
resource:
name: memory
target:
type: Utilization
averageUtilization: 80
behavior:
scaleDown:
stabilizationWindowSeconds: 300
policies:
- type: Percent
value: 10
periodSeconds: 60
scaleUp:
stabilizationWindowSeconds: 60
policies:
- type: Percent
value: 50
periodSeconds: 60
```
### Service Account and RBAC
**k8s/rbac.yml**
```yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: gitea-mcp
namespace: gitea-mcp
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
namespace: gitea-mcp
name: gitea-mcp-role
rules:
- apiGroups: [""]
resources: ["pods"]
verbs: ["get", "list"]
- apiGroups: [""]
resources: ["configmaps", "secrets"]
verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: gitea-mcp-rolebinding
namespace: gitea-mcp
subjects:
- kind: ServiceAccount
name: gitea-mcp
namespace: gitea-mcp
roleRef:
kind: Role
name: gitea-mcp-role
apiGroup: rbac.authorization.k8s.io
```
### Network Policy
**k8s/network-policy.yml**
```yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: gitea-mcp-network-policy
namespace: gitea-mcp
spec:
podSelector:
matchLabels:
app: gitea-mcp
policyTypes:
- Ingress
- Egress
ingress:
- from:
- namespaceSelector:
matchLabels:
name: monitoring
ports:
- protocol: TCP
port: 8080
egress:
- to: []
ports:
- protocol: TCP
port: 443 # HTTPS to Gitea instances
- protocol: TCP
port: 53 # DNS
- protocol: UDP
port: 53 # DNS
```
## CI/CD Pipeline Configuration
### GitHub Actions
**.github/workflows/ci.yml**
```yaml
name: CI/CD Pipeline
on:
push:
branches: [main, develop]
tags: ['v*']
pull_request:
branches: [main]
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
test:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: '18'
cache: 'npm'
- name: Install dependencies
run: npm ci
- name: Run linting
run: npm run lint
- name: Run type checking
run: npm run type-check
- name: Run unit tests
run: npm run test:coverage
- name: Upload coverage reports
uses: codecov/codecov-action@v3
with:
token: ${{ secrets.CODECOV_TOKEN }}
- name: Build application
run: npm run build
- name: Archive build artifacts
uses: actions/upload-artifact@v3
with:
name: build-files
path: build/
security:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Run security audit
run: npm audit --audit-level=high
- name: Run Snyk security scan
uses: snyk/actions/node@master
env:
SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
with:
args: --severity-threshold=high
- name: Run CodeQL analysis
uses: github/codeql-action/analyze@v2
build-and-push:
needs: [test, security]
runs-on: ubuntu-latest
if: github.event_name != 'pull_request'
outputs:
image-digest: ${{ steps.build.outputs.digest }}
image-uri: ${{ steps.build.outputs.image-uri }}
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Log in to Container Registry
uses: docker/login-action@v2
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata
id: meta
uses: docker/metadata-action@v4
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
tags: |
type=ref,event=branch
type=ref,event=pr
type=semver,pattern={{version}}
type=semver,pattern={{major}}.{{minor}}
type=sha
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Build and push Docker image
id: build
uses: docker/build-push-action@v4
with:
context: .
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
platforms: linux/amd64,linux/arm64
deploy-staging:
needs: build-and-push
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/develop'
environment: staging
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Deploy to staging
run: |
echo "Deploying to staging environment"
# Add staging deployment commands here
kubectl set image deployment/gitea-mcp gitea-mcp=${{ needs.build-and-push.outputs.image-uri }}@${{ needs.build-and-push.outputs.image-digest }} -n gitea-mcp-staging
deploy-production:
needs: build-and-push
runs-on: ubuntu-latest
if: startsWith(github.ref, 'refs/tags/v')
environment: production
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Configure kubectl
uses: azure/k8s-set-context@v3
with:
method: kubeconfig
kubeconfig: ${{ secrets.KUBE_CONFIG }}
- name: Deploy to production
run: |
echo "Deploying to production environment"
kubectl set image deployment/gitea-mcp gitea-mcp=${{ needs.build-and-push.outputs.image-uri }}@${{ needs.build-and-push.outputs.image-digest }} -n gitea-mcp
kubectl rollout status deployment/gitea-mcp -n gitea-mcp --timeout=300s
- name: Run post-deployment tests
run: |
# Add production smoke tests
echo "Running post-deployment verification"
```
### GitLab CI/CD
**.gitlab-ci.yml**
```yaml
stages:
- test
- security
- build
- deploy-staging
- deploy-production
variables:
DOCKER_DRIVER: overlay2
DOCKER_TLS_CERTDIR: "/certs"
before_script:
- docker info
test:
stage: test
image: node:18-alpine
cache:
key: npm-$CI_COMMIT_REF_NAME
paths:
- node_modules/
script:
- npm ci
- npm run lint
- npm run type-check
- npm run test:coverage
- npm run build
artifacts:
reports:
coverage_report:
coverage_format: cobertura
path: coverage/cobertura-coverage.xml
paths:
- build/
expire_in: 1 day
security:
stage: security
image: node:18-alpine
script:
- npm audit --audit-level=high
allow_failure: false
build:
stage: build
image: docker:latest
services:
- docker:dind
variables:
IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
before_script:
- docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
script:
- docker build -t $IMAGE_TAG .
- docker push $IMAGE_TAG
only:
- main
- develop
- tags
deploy-staging:
stage: deploy-staging
image: kubectl:latest
script:
- kubectl set image deployment/gitea-mcp gitea-mcp=$CI_REGISTRY_IMAGE:$CI_COMMIT_SHA -n gitea-mcp-staging
- kubectl rollout status deployment/gitea-mcp -n gitea-mcp-staging
environment:
name: staging
url: https://staging.gitea-mcp.example.com
only:
- develop
deploy-production:
stage: deploy-production
image: kubectl:latest
script:
- kubectl set image deployment/gitea-mcp gitea-mcp=$CI_REGISTRY_IMAGE:$CI_COMMIT_SHA -n gitea-mcp
- kubectl rollout status deployment/gitea-mcp -n gitea-mcp
environment:
name: production
url: https://gitea-mcp.example.com
when: manual
only:
- tags
```
## Monitoring and Observability
### Prometheus Configuration
**monitoring/prometheus.yml**
```yaml
global:
scrape_interval: 15s
evaluation_interval: 15s
rule_files:
- "gitea-mcp-rules.yml"
scrape_configs:
- job_name: 'gitea-mcp'
kubernetes_sd_configs:
- role: pod
namespaces:
names:
- gitea-mcp
relabel_configs:
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
action: keep
regex: true
- source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]
action: replace
target_label: __metrics_path__
regex: (.+)
- source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
action: replace
regex: ([^:]+)(?::\d+)?;(\d+)
replacement: $1:$2
target_label: __address__
- action: labelmap
regex: __meta_kubernetes_pod_label_(.+)
- source_labels: [__meta_kubernetes_namespace]
action: replace
target_label: kubernetes_namespace
- source_labels: [__meta_kubernetes_pod_name]
action: replace
target_label: kubernetes_pod_name
```
### Grafana Dashboard
**monitoring/grafana-dashboard.json**
```json
{
"dashboard": {
"id": null,
"title": "Gitea MCP Server Metrics",
"tags": ["gitea", "mcp"],
"timezone": "browser",
"panels": [
{
"title": "Request Rate",
"type": "graph",
"targets": [
{
"expr": "rate(mcp_tool_calls_total[5m])",
"legendFormat": "{{tool_name}}"
}
]
},
{
"title": "Error Rate",
"type": "graph",
"targets": [
{
"expr": "rate(mcp_tool_errors_total[5m])",
"legendFormat": "{{tool_name}} - {{error_type}}"
}
]
},
{
"title": "Response Time",
"type": "graph",
"targets": [
{
"expr": "histogram_quantile(0.95, rate(mcp_tool_duration_seconds_bucket[5m]))",
"legendFormat": "95th percentile"
},
{
"expr": "histogram_quantile(0.50, rate(mcp_tool_duration_seconds_bucket[5m]))",
"legendFormat": "Median"
}
]
}
]
}
}
```
### Alerting Rules
**monitoring/gitea-mcp-rules.yml**
```yaml
groups:
- name: gitea-mcp
rules:
- alert: GiteaMCPHighErrorRate
expr: rate(mcp_tool_errors_total[5m]) > 0.1
for: 2m
labels:
severity: warning
annotations:
summary: "High error rate detected in Gitea MCP server"
description: "Error rate is {{ $value }} errors per second"
- alert: GiteaMCPHighLatency
expr: histogram_quantile(0.95, rate(mcp_tool_duration_seconds_bucket[5m])) > 5
for: 5m
labels:
severity: warning
annotations:
summary: "High latency detected in Gitea MCP server"
description: "95th percentile latency is {{ $value }}s"
- alert: GiteaMCPDown
expr: up{job="gitea-mcp"} == 0
for: 1m
labels:
severity: critical
annotations:
summary: "Gitea MCP server is down"
description: "Gitea MCP server has been down for more than 1 minute"
```
## Deployment Scripts
### Kubernetes Deployment Script
**scripts/deploy-k8s.sh**
```bash
#!/bin/bash
set -euo pipefail
# Configuration
NAMESPACE="gitea-mcp"
IMAGE_TAG="${1:-latest}"
ENVIRONMENT="${2:-production}"
echo "Deploying Gitea MCP to Kubernetes..."
echo "Namespace: $NAMESPACE"
echo "Image Tag: $IMAGE_TAG"
echo "Environment: $ENVIRONMENT"
# Create namespace if it doesn't exist
kubectl create namespace $NAMESPACE --dry-run=client -o yaml | kubectl apply -f -
# Apply configurations
kubectl apply -f k8s/configmap.yml
kubectl apply -f k8s/secret.yml
kubectl apply -f k8s/rbac.yml
kubectl apply -f k8s/network-policy.yml
# Update deployment with new image
sed "s|gitea-mcp:latest|gitea-mcp:$IMAGE_TAG|g" k8s/deployment.yml | kubectl apply -f -
# Apply services and HPA
kubectl apply -f k8s/service.yml
kubectl apply -f k8s/hpa.yml
# Wait for deployment to be ready
echo "Waiting for deployment to be ready..."
kubectl rollout status deployment/gitea-mcp -n $NAMESPACE --timeout=300s
# Verify deployment
echo "Verifying deployment..."
kubectl get pods -n $NAMESPACE -l app=gitea-mcp
echo "Deployment completed successfully!"
```
### Docker Compose Deployment Script
**scripts/deploy-docker.sh**
```bash
#!/bin/bash
set -euo pipefail
# Configuration
ENVIRONMENT="${1:-production}"
COMPOSE_FILE="docker-compose.yml"
if [ "$ENVIRONMENT" = "development" ]; then
COMPOSE_FILE="docker-compose.dev.yml"
fi
echo "Deploying Gitea MCP with Docker Compose..."
echo "Environment: $ENVIRONMENT"
echo "Compose File: $COMPOSE_FILE"
# Build and start services
docker-compose -f $COMPOSE_FILE down
docker-compose -f $COMPOSE_FILE build --no-cache
docker-compose -f $COMPOSE_FILE up -d
# Wait for services to be healthy
echo "Waiting for services to be healthy..."
timeout 60 bash -c 'until docker-compose -f '$COMPOSE_FILE' ps | grep -q "healthy"; do sleep 5; done'
# Show status
docker-compose -f $COMPOSE_FILE ps
echo "Deployment completed successfully!"
```
### Health Check Script
**scripts/health-check.sh**
```bash
#!/bin/bash
set -euo pipefail
# Configuration
NAMESPACE="${1:-gitea-mcp}"
TIMEOUT="${2:-60}"
echo "Performing health check for Gitea MCP..."
# Check if pods are running
RUNNING_PODS=$(kubectl get pods -n $NAMESPACE -l app=gitea-mcp --field-selector=status.phase=Running --no-headers | wc -l)
DESIRED_REPLICAS=$(kubectl get deployment gitea-mcp -n $NAMESPACE -o jsonpath='{.spec.replicas}')
echo "Running pods: $RUNNING_PODS/$DESIRED_REPLICAS"
if [ "$RUNNING_PODS" -lt "$DESIRED_REPLICAS" ]; then
echo "❌ Not all pods are running"
kubectl get pods -n $NAMESPACE -l app=gitea-mcp
exit 1
fi
# Check pod health
echo "Checking pod health..."
UNHEALTHY_PODS=$(kubectl get pods -n $NAMESPACE -l app=gitea-mcp --field-selector=status.phase=Running -o jsonpath='{range .items[*]}{.metadata.name}{" "}{.status.containerStatuses[0].ready}{"\n"}{end}' | grep false | wc -l)
if [ "$UNHEALTHY_PODS" -gt 0 ]; then
echo "❌ Some pods are not ready"
kubectl get pods -n $NAMESPACE -l app=gitea-mcp
exit 1
fi
# Check service endpoints
echo "Checking service endpoints..."
ENDPOINTS=$(kubectl get endpoints gitea-mcp-service -n $NAMESPACE -o jsonpath='{.subsets[0].addresses}' | jq length)
if [ "$ENDPOINTS" -eq 0 ]; then
echo "❌ No service endpoints available"
kubectl describe endpoints gitea-mcp-service -n $NAMESPACE
exit 1
fi
echo "✅ Health check passed!"
echo "All $RUNNING_PODS pods are running and healthy"
echo "Service has $ENDPOINTS endpoints"
```
## Environment Configuration
### Production Environment Variables
**.env.production**
```bash
# Server Configuration
NODE_ENV=production
LOG_LEVEL=info
# Gitea Configuration (set via Kubernetes secrets)
# GITEA_INSTANCES will be provided via secret mount
# Upload Configuration
MAX_FILE_SIZE=10485760
MAX_FILES=100
BATCH_SIZE=10
# API Configuration
GITEA_TIMEOUT=30000
GITEA_MAX_RETRIES=3
# Monitoring
ENABLE_METRICS=true
METRICS_PORT=8080
```
### Staging Environment Variables
**.env.staging**
```bash
# Server Configuration
NODE_ENV=staging
LOG_LEVEL=debug
# Upload Configuration
MAX_FILE_SIZE=5242880
MAX_FILES=50
BATCH_SIZE=5
# API Configuration
GITEA_TIMEOUT=15000
GITEA_MAX_RETRIES=2
# Monitoring
ENABLE_METRICS=true
METRICS_PORT=8080
```
## Security Hardening
### Container Security
1. **Non-root User**: Container runs as non-root user (UID 1001)
2. **Read-only Root Filesystem**: Root filesystem is mounted read-only
3. **No Privilege Escalation**: Container cannot escalate privileges
4. **Dropped Capabilities**: All Linux capabilities are dropped
5. **Resource Limits**: CPU and memory limits are enforced
### Kubernetes Security
1. **Network Policies**: Restrict ingress and egress traffic
2. **RBAC**: Minimal permissions for service account
3. **Pod Security Standards**: Enforce restricted pod security standards
4. **Secrets Management**: Secure handling of sensitive configuration
5. **Image Scanning**: Automated vulnerability scanning of container images
### Build Security
1. **Multi-stage Build**: Minimize attack surface in final image
2. **Dependency Scanning**: Regular security audits of npm packages
3. **Base Image Updates**: Automated updates of base Node.js image
4. **Supply Chain Security**: Verify integrity of build artifacts
## Deployment Team Deliverables
1. **Container Infrastructure**
- Production-ready Dockerfile with security hardening
- Multi-environment Docker Compose configurations
- Container registry setup and management
- Image vulnerability scanning and updates
2. **Kubernetes Orchestration**
- Complete Kubernetes manifests for production deployment
- Namespace isolation and resource management
- Horizontal pod autoscaling configuration
- Network policies and security controls
3. **CI/CD Automation**
- Multi-platform build and deployment pipelines
- Automated testing integration
- Security scanning and compliance checks
- Blue-green or rolling deployment strategies
4. **Monitoring and Observability**
- Metrics collection and visualization dashboards
- Alerting rules and notification systems
- Log aggregation and analysis setup
- Performance monitoring and SLA tracking
5. **Operational Excellence**
- Health check and readiness probe implementations
- Automated backup and disaster recovery procedures
- Rolling update and rollback strategies
- Documentation for troubleshooting and maintenance
The deployment team should ensure all components work together seamlessly to provide a robust, secure, and maintainable production environment for the Gitea MCP server.
