Configure zero-downtime deployment strategies including blue-green, canary,
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---
name: blue-green-deploy
description: Configure zero-downtime deployment strategies including blue-green, canary,
and rolling deployments.
category: devops
risk: critical
source: https://github.com/BagelHole/DevOps-Security-Agent-Skills
source_repo: BagelHole/DevOps-Security-Agent-Skills
source_type: community
date_added: '2026-09-20'
license: MIT
license_source: https://github.com/BagelHole/DevOps-Security-Agent-Skills/blob/main/LICENSE
compatibility: Requires the relevant platform CLIs (kubectl, helm, terraform, git,
CI runners) and authorized access to the target environment. Docs-only; helper scripts
and templates not bundled.
metadata:
author: devops-skills
version: '1.0'
---
# Blue-Green & Deployment Strategies
Implement zero-downtime deployment patterns for production systems.
## Prerequisites
- Load balancer or ingress controller
- Container orchestration (K8s) or cloud platform
- CI/CD pipeline
- Health check endpoints
## Deployment Strategy Overview
```
┌─────────────────────────────────────────────────────────────┐
│ DEPLOYMENT STRATEGIES │
├─────────────┬─────────────┬─────────────┬──────────────────┤
│ Blue-Green │ Canary │ Rolling │ Recreate │
├─────────────┼─────────────┼─────────────┼──────────────────┤
│ Full env │ Gradual % │ Pod by pod │ All at once │
│ swap │ rollout │ replacement │ │
├─────────────┼─────────────┼─────────────┼──────────────────┤
│ Instant │ Slow, safe │ Moderate │ Fast, risky │
│ rollback │ rollback │ rollback │ │
├─────────────┼─────────────┼─────────────┼──────────────────┤
│ 2x resources│ +10-25% │ Same │ Same │
│ needed │ resources │ resources │ │
└─────────────┴─────────────┴─────────────┴──────────────────┘
```
## Blue-Green Deployment
### Concept
```
Before:
┌─────────┐ ┌───────────────┐
│ Users │────▶│ Blue (v1) │ ◀── Active
└─────────┘ └───────────────┘
┌───────────────┐
│ Green (v2) │ ◀── Staging
└───────────────┘
After Switch:
┌─────────┐ ┌───────────────┐
│ Users │ │ Blue (v1) │ ◀── Standby
└─────────┘ └───────────────┘
│ ┌───────────────┐
└────────▶│ Green (v2) │ ◀── Active
└───────────────┘
```
### Kubernetes Implementation
```yaml
# blue-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp-blue
labels:
app: myapp
version: blue
spec:
replicas: 3
selector:
matchLabels:
app: myapp
version: blue
template:
metadata:
labels:
app: myapp
version: blue
spec:
containers:
- name: myapp
image: myapp:v1.0.0
ports:
- containerPort: 8080
readinessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
---
# green-deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp-green
labels:
app: myapp
version: green
spec:
replicas: 3
selector:
matchLabels:
app: myapp
version: green
template:
metadata:
labels:
app: myapp
version: green
spec:
containers:
- name: myapp
image: myapp:v2.0.0
ports:
- containerPort: 8080
readinessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
---
# service.yaml - Switch by changing selector
apiVersion: v1
kind: Service
metadata:
name: myapp
spec:
selector:
app: myapp
version: blue # Change to 'green' to switch
ports:
- port: 80
targetPort: 8080
```
### Switch Script
```bash
#!/bin/bash
# blue-green-switch.sh
CURRENT=$(kubectl get svc myapp -o jsonpath='{.spec.selector.version}')
NEW_VERSION=$1
echo "Current version: $CURRENT"
echo "Switching to: $NEW_VERSION"
# Verify new deployment is ready
kubectl rollout status deployment/myapp-$NEW_VERSION
# Check health
HEALTH=$(kubectl exec -it deployment/myapp-$NEW_VERSION -- curl -s localhost:8080/health)
if [ "$HEALTH" != "ok" ]; then
echo "Health check failed"
exit 1
fi
# Switch traffic
kubectl patch svc myapp -p "{\"spec\":{\"selector\":{\"version\":\"$NEW_VERSION\"}}}"
echo "Switched to $NEW_VERSION"
```
### AWS ECS Blue-Green
```yaml
# AWS CodeDeploy appspec.yml
version: 0.0
Resources:
- TargetService:
Type: AWS::ECS::Service
Properties:
TaskDefinition: "arn:aws:ecs:region:account:task-definition/myapp:2"
LoadBalancerInfo:
ContainerName: "myapp"
ContainerPort: 8080
Hooks:
- BeforeInstall: "LambdaFunctionToValidateBeforeTrafficShift"
- AfterInstall: "LambdaFunctionToValidateAfterTrafficShift"
- AfterAllowTestTraffic: "LambdaFunctionToValidateTestTraffic"
- BeforeAllowTraffic: "LambdaFunctionToValidateBeforeAllowTraffic"
- AfterAllowTraffic: "LambdaFunctionToValidateAfterAllowTraffic"
```
## Canary Deployment
### Kubernetes with Istio
```yaml
# VirtualService for traffic splitting
apiVersion: networking.istio.io/v1beta1
kind: VirtualService
metadata:
name: myapp
spec:
hosts:
- myapp
http:
- match:
- headers:
x-canary:
exact: "true"
route:
- destination:
host: myapp
subset: canary
- route:
- destination:
host: myapp
subset: stable
weight: 90
- destination:
host: myapp
subset: canary
weight: 10
---
apiVersion: networking.istio.io/v1beta1
kind: DestinationRule
metadata:
name: myapp
spec:
host: myapp
subsets:
- name: stable
labels:
version: stable
- name: canary
labels:
version: canary
```
### Argo Rollouts
```yaml
apiVersion: argoproj.io/v1alpha1
kind: Rollout
metadata:
name: myapp
spec:
replicas: 5
strategy:
canary:
steps:
- setWeight: 10
- pause: {duration: 5m}
- setWeight: 25
- pause: {duration: 5m}
- setWeight: 50
- pause: {duration: 5m}
- setWeight: 75
- pause: {duration: 5m}
analysis:
templates:
- templateName: success-rate
startingStep: 2
args:
- name: service-name
value: myapp
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
- name: myapp
image: myapp:v2.0.0
ports:
- containerPort: 8080
---
apiVersion: argoproj.io/v1alpha1
kind: AnalysisTemplate
metadata:
name: success-rate
spec:
args:
- name: service-name
metrics:
- name: success-rate
interval: 1m
successCondition: result[0] >= 0.95
failureLimit: 3
provider:
prometheus:
address: http://prometheus:9090
query: |
sum(rate(http_requests_total{service="{{args.service-name}}",status=~"2.*"}[5m]))
/
sum(rate(http_requests_total{service="{{args.service-name}}"}[5m]))
```
## Rolling Deployment
### Kubernetes Default
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp
spec:
replicas: 5
strategy:
type: RollingUpdate
rollingUpdate:
maxSurge: 1 # Max pods above desired
maxUnavailable: 0 # Max pods unavailable
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
- name: myapp
image: myapp:v2.0.0
ports:
- containerPort: 8080
readinessProbe:
httpGet:
path: /ready
port: 8080
initialDelaySeconds: 5
periodSeconds: 5
livenessProbe:
httpGet:
path: /health
port: 8080
initialDelaySeconds: 10
periodSeconds: 10
```
### Rolling Update Commands
```bash
# Update image
kubectl set image deployment/myapp myapp=myapp:v2.0.0
# Watch rollout
kubectl rollout status deployment/myapp
# Pause rollout
kubectl rollout pause deployment/myapp
# Resume rollout
kubectl rollout resume deployment/myapp
# Rollback
kubectl rollout undo deployment/myapp
# Rollback to specific revision
kubectl rollout undo deployment/myapp --to-revision=2
# View history
kubectl rollout history deployment/myapp
```
## Health Checks
### Comprehensive Health Endpoint
```python
# Flask health endpoint
from flask import Flask, jsonify
import psycopg2
import redis
app = Flask(__name__)
@app.route('/health')
def health():
"""Liveness probe - is the app running?"""
return jsonify({'status': 'healthy'}), 200
@app.route('/ready')
def ready():
"""Readiness probe - can the app serve traffic?"""
checks = {}
# Database check
try:
conn = psycopg2.connect(DATABASE_URL)
conn.close()
checks['database'] = 'ok'
except Exception as e:
checks['database'] = str(e)
return jsonify({'status': 'unhealthy', 'checks': checks}), 503
# Redis check
try:
r = redis.from_url(REDIS_URL)
r.ping()
checks['redis'] = 'ok'
except Exception as e:
checks['redis'] = str(e)
return jsonify({'status': 'unhealthy', 'checks': checks}), 503
return jsonify({'status': 'healthy', 'checks': checks}), 200
```
## Contents
- [Rollback Procedures](references/details.md)
- [Rollback Checklist](references/details.md)
- [Common Issues](references/details.md)
- [Best Practices](references/details.md)
- [Related Skills](references/details.md)
## When to Use This Skill
Use this skill when:
- Implementing zero-downtime deployments
- Reducing deployment risk
- Enabling instant rollbacks
- Running canary releases
- Performing A/B testing in production
## Limitations
- Guidance executes against real environments: confirm target, blast radius, and rollback plan before applying anything.
- Never deploy to production without explicit approval. Docs-only import: upstream scripts and templates not bundled.
### Example
```bash
git status && git diff --stat
kubectl diff -f manifest.yaml
```
> Adapted from [BagelHole/DevOps-Security-Agent-Skills](https://github.com/BagelHole/DevOps-Security-Agent-Skills) (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: helper scripts and templates not bundled.
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