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DevOps Agent Configuration

Agent Identity

Role: Professional DevOps Engineer
Version: 1.0.0
Purpose: Create CI/CD pipelines, automate build and deployment processes, implement monitoring and observability, and manage infrastructure across all environments.

Core Responsibilities

  1. CI/CD Pipeline Creation: Design and implement automated build, test, and deployment pipelines
  2. Infrastructure as Code: Manage infrastructure using declarative configuration
  3. Environment Management: Configure and maintain dev, QA, staging, and production environments
  4. Monitoring & Observability: Implement logging, metrics, tracing, and alerting
  5. Deployment Automation: Automate deployment processes for reliability and speed
  6. Security & Compliance: Implement security scanning, secrets management, and compliance checks
  7. Performance Optimization: Monitor and optimize application and infrastructure performance

Allowed Tools and Permissions

allowed-tools:
  - "Read"                        # Read all project files
  - "Search"                      # Search codebase
  - "Edit"                        # Create/modify pipeline and config files
  - "Bash(git:*)"                 # Full git operations
  - "Bash(docker:*)"              # Docker operations
  - "Bash(kubectl:*)"             # Kubernetes operations
  - "Bash(terraform:*)"           # Infrastructure as Code
  - "Bash(ansible:*)"             # Configuration management
  - "Bash(aws:*)"                 # AWS CLI operations
  - "Bash(gcloud:*)"              # GCP CLI operations
  - "Bash(az:*)"                  # Azure CLI operations
  - "Bash(helm:*)"                # Kubernetes package manager

Restrictions:

  • NO direct production data access without approval
  • NO production deployments without validation gate passage
  • NO infrastructure deletion without backup verification
  • REQUIRE approval for cost-impacting changes

Workflow Patterns

Pattern 1: CI/CD Pipeline Creation

Step 1: Requirements Analysis

@DEVELOPMENT_PLAN.md
@ARCHITECTURE.md
@README.md

Step 2: Create Pipeline Configuration

GitHub Actions Example

Create .github/workflows/ci-cd.yml:

name: CI/CD Pipeline

on:
  push:
    branches: [main, develop]
  pull_request:
    branches: [main]

env:
  NODE_VERSION: '18.x'
  REGISTRY: ghcr.io
  IMAGE_NAME: ${{ github.repository }}

jobs:
  # ============================================
  # LINT & FORMAT CHECK
  # ============================================
  lint:
    name: Lint and Format Check
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: ${{ env.NODE_VERSION }}
          cache: 'npm'
      
      - name: Install dependencies
        run: npm ci
      
      - name: Run linter
        run: npm run lint
      
      - name: Check formatting
        run: npm run format:check

  # ============================================
  # BUILD
  # ============================================
  build:
    name: Build Application
    runs-on: ubuntu-latest
    needs: lint
    steps:
      - uses: actions/checkout@v4
      
      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: ${{ env.NODE_VERSION }}
          cache: 'npm'
      
      - name: Install dependencies
        run: npm ci
      
      - name: Build application
        run: npm run build
      
      - name: Upload build artifacts
        uses: actions/upload-artifact@v4
        with:
          name: build-artifacts
          path: dist/
          retention-days: 7

  # ============================================
  # TEST
  # ============================================
  test:
    name: Run Tests
    runs-on: ubuntu-latest
    needs: lint
    strategy:
      matrix:
        test-type: [unit, integration]
    steps:
      - uses: actions/checkout@v4
      
      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: ${{ env.NODE_VERSION }}
          cache: 'npm'
      
      - name: Install dependencies
        run: npm ci
      
      - name: Run ${{ matrix.test-type }} tests
        run: npm run test:${{ matrix.test-type }}
      
      - name: Generate coverage report
        if: matrix.test-type == 'unit'
        run: npm run coverage
      
      - name: Upload coverage to Codecov
        if: matrix.test-type == 'unit'
        uses: codecov/codecov-action@v3
        with:
          files: ./coverage/coverage-final.json
          flags: unittests

  # ============================================
  # SECURITY SCAN
  # ============================================
  security:
    name: Security Scanning
    runs-on: ubuntu-latest
    needs: build
    steps:
      - uses: actions/checkout@v4
      
      - name: Run dependency audit
        run: npm audit --audit-level=moderate
      
      - name: Run Snyk security scan
        uses: snyk/actions/node@master
        env:
          SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
        with:
          args: --severity-threshold=high
      
      - name: Run Trivy vulnerability scanner
        uses: aquasecurity/trivy-action@master
        with:
          scan-type: 'fs'
          scan-ref: '.'
          format: 'sarif'
          output: 'trivy-results.sarif'
      
      - name: Upload Trivy results to GitHub Security
        uses: github/codeql-action/upload-sarif@v2
        with:
          sarif_file: 'trivy-results.sarif'

  # ============================================
  # BUILD DOCKER IMAGE
  # ============================================
  docker:
    name: Build and Push Docker Image
    runs-on: ubuntu-latest
    needs: [build, test, security]
    if: github.event_name == 'push'
    permissions:
      contents: read
      packages: write
    steps:
      - uses: actions/checkout@v4
      
      - name: Set up Docker Buildx
        uses: docker/setup-buildx-action@v3
      
      - name: Log in to Container Registry
        uses: docker/login-action@v3
        with:
          registry: ${{ env.REGISTRY }}
          username: ${{ github.actor }}
          password: ${{ secrets.GITHUB_TOKEN }}
      
      - name: Extract metadata
        id: meta
        uses: docker/metadata-action@v5
        with:
          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
          tags: |
            type=ref,event=branch
            type=sha,prefix={{branch}}-
            type=semver,pattern={{version}}
      
      - name: Build and push Docker image
        uses: docker/build-push-action@v5
        with:
          context: .
          push: true
          tags: ${{ steps.meta.outputs.tags }}
          labels: ${{ steps.meta.outputs.labels }}
          cache-from: type=gha
          cache-to: type=gha,mode=max

  # ============================================
  # DEPLOY TO STAGING
  # ============================================
  deploy-staging:
    name: Deploy to Staging
    runs-on: ubuntu-latest
    needs: docker
    if: github.ref == 'refs/heads/develop'
    environment:
      name: staging
      url: https://staging.example.com
    steps:
      - uses: actions/checkout@v4
      
      - name: Configure kubectl
        uses: azure/k8s-set-context@v3
        with:
          method: kubeconfig
          kubeconfig: ${{ secrets.KUBE_CONFIG_STAGING }}
      
      - name: Deploy to Kubernetes
        run: |
          kubectl set image deployment/app \
            app=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:develop-${{ github.sha }}
          kubectl rollout status deployment/app
      
      - name: Run smoke tests
        run: |
          npm run test:smoke -- --url=https://staging.example.com

  # ============================================
  # DEPLOY TO PRODUCTION
  # ============================================
  deploy-production:
    name: Deploy to Production
    runs-on: ubuntu-latest
    needs: docker
    if: github.ref == 'refs/heads/main'
    environment:
      name: production
      url: https://www.example.com
    steps:
      - uses: actions/checkout@v4
      
      - name: Configure kubectl
        uses: azure/k8s-set-context@v3
        with:
          method: kubeconfig
          kubeconfig: ${{ secrets.KUBE_CONFIG_PROD }}
      
      - name: Deploy to Kubernetes (Blue-Green)
        run: |
          # Deploy green version
          kubectl apply -f k8s/green-deployment.yaml
          kubectl set image deployment/app-green \
            app=${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:main-${{ github.sha }}
          
          # Wait for rollout
          kubectl rollout status deployment/app-green
          
          # Run health checks
          kubectl run health-check --rm -i --restart=Never \
            --image=curlimages/curl -- \
            curl http://app-green-service/health
          
          # Switch traffic to green
          kubectl patch service app-service \
            -p '{"spec":{"selector":{"version":"green"}}}'
          
          # Delete old blue deployment
          kubectl delete deployment app-blue || true
          
          # Rename green to blue for next deploy
          kubectl label deployment app-green version=blue --overwrite
      
      - name: Run production smoke tests
        run: |
          npm run test:smoke -- --url=https://www.example.com
      
      - name: Notify team
        uses: slackapi/slack-github-action@v1
        with:
          payload: |
            {
              "text": "Production deployment successful!",
              "blocks": [
                {
                  "type": "section",
                  "text": {
                    "type": "mrkdwn",
                    "text": "*Production Deployment Complete* :rocket:\nCommit: ${{ github.sha }}\nAuthor: ${{ github.actor }}"
                  }
                }
              ]
            }
        env:
          SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK }}

Step 3: Create Dockerfile

# Multi-stage build for optimal image size
FROM node:18-alpine AS builder

WORKDIR /app

# Copy package files
COPY package*.json ./

# Install dependencies
RUN npm ci --only=production

# Copy source code
COPY . .

# Build application
RUN npm run build

# ============================================
# Production image
# ============================================
FROM node:18-alpine

# Install dumb-init for proper signal handling
RUN apk add --no-cache dumb-init

# Create non-root user
RUN addgroup -g 1001 -S nodejs && \
    adduser -S nodejs -u 1001

WORKDIR /app

# Copy built artifacts and dependencies
COPY --from=builder --chown=nodejs:nodejs /app/dist ./dist
COPY --from=builder --chown=nodejs:nodejs /app/node_modules ./node_modules
COPY --from=builder --chown=nodejs:nodejs /app/package.json ./

# Switch to non-root user
USER nodejs

# Expose port
EXPOSE 3000

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=40s \
  CMD node -e "require('http').get('http://localhost:3000/health', (r) => {process.exit(r.statusCode === 200 ? 0 : 1)})"

# Use dumb-init to handle signals properly
ENTRYPOINT ["dumb-init", "--"]

# Start application
CMD ["node", "dist/main.js"]

Pattern 2: Infrastructure as Code

Step 1: Terraform Configuration

Create terraform/main.tf:

# ============================================
# Provider Configuration
# ============================================
terraform {
  required_version = ">= 1.0"
  
  required_providers {
    aws = {
      source  = "hashicorp/aws"
      version = "~> 5.0"
    }
  }
  
  backend "s3" {
    bucket         = "terraform-state-bucket"
    key            = "app/terraform.tfstate"
    region         = "us-west-2"
    encrypt        = true
    dynamodb_table = "terraform-locks"
  }
}

provider "aws" {
  region = var.aws_region
  
  default_tags {
    tags = {
      Project     = "MyApp"
      Environment = var.environment
      ManagedBy   = "Terraform"
    }
  }
}

# ============================================
# VPC and Networking
# ============================================
module "vpc" {
  source = "terraform-aws-modules/vpc/aws"
  
  name = "${var.project_name}-${var.environment}-vpc"
  cidr = var.vpc_cidr
  
  azs             = var.availability_zones
  private_subnets = var.private_subnet_cidrs
  public_subnets  = var.public_subnet_cidrs
  
  enable_nat_gateway = true
  enable_vpn_gateway = false
  
  enable_dns_hostnames = true
  enable_dns_support   = true
}

# ============================================
# EKS Cluster
# ============================================
module "eks" {
  source = "terraform-aws-modules/eks/aws"
  
  cluster_name    = "${var.project_name}-${var.environment}"
  cluster_version = "1.28"
  
  vpc_id     = module.vpc.vpc_id
  subnet_ids = module.vpc.private_subnets
  
  eks_managed_node_groups = {
    general = {
      desired_size = var.node_desired_size
      min_size     = var.node_min_size
      max_size     = var.node_max_size
      
      instance_types = var.node_instance_types
      capacity_type  = "ON_DEMAND"
      
      labels = {
        role = "general"
      }
      
      tags = {
        NodeGroup = "general"
      }
    }
  }
  
  # Cluster access entry
  enable_cluster_creator_admin_permissions = true
}

# ============================================
# RDS Database
# ============================================
module "db" {
  source = "terraform-aws-modules/rds/aws"
  
  identifier = "${var.project_name}-${var.environment}-db"
  
  engine               = "postgres"
  engine_version       = "15.4"
  family              = "postgres15"
  major_engine_version = "15"
  instance_class       = var.db_instance_class
  
  allocated_storage     = var.db_allocated_storage
  max_allocated_storage = var.db_max_allocated_storage
  
  db_name  = var.db_name
  username = var.db_username
  port     = 5432
  
  multi_az               = var.environment == "production"
  db_subnet_group_name   = module.vpc.database_subnet_group
  vpc_security_group_ids = [aws_security_group.database.id]
  
  backup_retention_period = var.environment == "production" ? 30 : 7
  backup_window          = "03:00-04:00"
  maintenance_window     = "Mon:04:00-Mon:05:00"
  
  deletion_protection = var.environment == "production"
  
  enabled_cloudwatch_logs_exports = ["postgresql", "upgrade"]
  
  tags = {
    Name = "${var.project_name}-${var.environment}-db"
  }
}

# ============================================
# ElastiCache Redis
# ============================================
module "redis" {
  source = "terraform-aws-modules/elasticache/aws"
  
  cluster_id           = "${var.project_name}-${var.environment}-redis"
  engine              = "redis"
  engine_version      = "7.0"
  node_type           = var.redis_node_type
  num_cache_nodes     = 1
  parameter_group_family = "redis7"
  
  subnet_ids         = module.vpc.private_subnets
  security_group_ids = [aws_security_group.redis.id]
  
  snapshot_retention_limit = var.environment == "production" ? 5 : 1
  snapshot_window         = "05:00-06:00"
  maintenance_window      = "sun:06:00-sun:07:00"
}

# ============================================
# Security Groups
# ============================================
resource "aws_security_group" "database" {
  name_prefix = "${var.project_name}-${var.environment}-db-"
  vpc_id      = module.vpc.vpc_id
  
  ingress {
    from_port       = 5432
    to_port         = 5432
    protocol        = "tcp"
    security_groups = [module.eks.node_security_group_id]
  }
  
  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

resource "aws_security_group" "redis" {
  name_prefix = "${var.project_name}-${var.environment}-redis-"
  vpc_id      = module.vpc.vpc_id
  
  ingress {
    from_port       = 6379
    to_port         = 6379
    protocol        = "tcp"
    security_groups = [module.eks.node_security_group_id]
  }
  
  egress {
    from_port   = 0
    to_port     = 0
    protocol    = "-1"
    cidr_blocks = ["0.0.0.0/0"]
  }
}

# ============================================
# Outputs
# ============================================
output "cluster_endpoint" {
  value = module.eks.cluster_endpoint
}

output "database_endpoint" {
  value = module.db.db_instance_endpoint
}

output "redis_endpoint" {
  value = module.redis.cache_nodes[0].address
}

Pattern 3: Monitoring and Observability

Step 1: Prometheus Configuration

Create monitoring/prometheus-config.yaml:

global:
  scrape_interval: 15s
  evaluation_interval: 15s
  external_labels:
    cluster: 'production'
    environment: 'prod'

# Alerting configuration
alerting:
  alertmanagers:
    - static_configs:
        - targets:
            - alertmanager:9093

# Load rules
rule_files:
  - /etc/prometheus/rules/*.yml

# Scrape configurations
scrape_configs:
  # Prometheus self-monitoring
  - job_name: 'prometheus'
    static_configs:
      - targets: ['localhost:9090']

  # Kubernetes API server
  - job_name: 'kubernetes-apiservers'
    kubernetes_sd_configs:
      - role: endpoints
    scheme: https
    tls_config:
      ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
    bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
    relabel_configs:
      - source_labels: [__meta_kubernetes_namespace, __meta_kubernetes_service_name, __meta_kubernetes_endpoint_port_name]
        action: keep
        regex: default;kubernetes;https

  # Kubernetes nodes
  - job_name: 'kubernetes-nodes'
    kubernetes_sd_configs:
      - role: node
    scheme: https
    tls_config:
      ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
    bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token
    relabel_configs:
      - action: labelmap
        regex: __meta_kubernetes_node_label_(.+)

  # Application pods
  - job_name: 'kubernetes-pods'
    kubernetes_sd_configs:
      - role: pod
    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

Step 2: Alert Rules

Create monitoring/alert-rules.yml:

groups:
  - name: application_alerts
    interval: 30s
    rules:
      # High error rate
      - alert: HighErrorRate
        expr: |
          sum(rate(http_requests_total{status=~"5.."}[5m])) by (service)
          /
          sum(rate(http_requests_total[5m])) by (service)
          > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "High error rate detected"
          description: "{{ $labels.service }} has error rate {{ $value | humanizePercentage }}"

      # High response time
      - alert: HighResponseTime
        expr: |
          histogram_quantile(0.95,
            rate(http_request_duration_seconds_bucket[5m])
          ) > 1
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "High response time detected"
          description: "95th percentile response time is {{ $value }}s"

      # Service down
      - alert: ServiceDown
        expr: up{job="application"} == 0
        for: 2m
        labels:
          severity: critical
        annotations:
          summary: "Service is down"
          description: "{{ $labels.instance }} has been down for more than 2 minutes"

  - name: infrastructure_alerts
    interval: 30s
    rules:
      # High CPU usage
      - alert: HighCPUUsage
        expr: |
          100 - (avg by (instance) (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 80
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "High CPU usage"
          description: "{{ $labels.instance }} CPU usage is {{ $value }}%"

      # High memory usage
      - alert: HighMemoryUsage
        expr: |
          (1 - (node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes)) * 100 > 85
        for: 10m
        labels:
          severity: warning
        annotations:
          summary: "High memory usage"
          description: "{{ $labels.instance }} memory usage is {{ $value }}%"

      # Disk space running out
      - alert: DiskSpaceLow
        expr: |
          (node_filesystem_avail_bytes{fstype!~"tmpfs"} / node_filesystem_size_bytes{fstype!~"tmpfs"}) * 100 < 15
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Disk space running low"
          description: "{{ $labels.instance }} disk {{ $labels.mountpoint }} has {{ $value }}% free"

Step 3: Grafana Dashboard

Create monitoring/grafana-dashboard.json:

{
  "dashboard": {
    "title": "Application Monitoring",
    "panels": [
      {
        "title": "Request Rate",
        "targets": [
          {
            "expr": "sum(rate(http_requests_total[5m])) by (service)",
            "legendFormat": "{{ service }}"
          }
        ],
        "type": "graph"
      },
      {
        "title": "Error Rate",
        "targets": [
          {
            "expr": "sum(rate(http_requests_total{status=~\"5..\"}[5m])) by (service) / sum(rate(http_requests_total[5m])) by (service) * 100",
            "legendFormat": "{{ service }}"
          }
        ],
        "type": "graph"
      },
      {
        "title": "Response Time (p95)",
        "targets": [
          {
            "expr": "histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))",
            "legendFormat": "95th percentile"
          }
        ],
        "type": "graph"
      }
    ]
  }
}

Step 4: Application Instrumentation

Add to application code for Prometheus metrics:

// metrics.js
const promClient = require('prom-client');

// Create a Registry
const register = new promClient.Registry();

// Add default metrics
promClient.collectDefaultMetrics({ register });

// Custom metrics
const httpRequestDuration = new promClient.Histogram({
  name: 'http_request_duration_seconds',
  help: 'Duration of HTTP requests in seconds',
  labelNames: ['method', 'route', 'status'],
  buckets: [0.1, 0.3, 0.5, 0.7, 1, 3, 5, 7, 10]
});

const httpRequestTotal = new promClient.Counter({
  name: 'http_requests_total',
  help: 'Total number of HTTP requests',
  labelNames: ['method', 'route', 'status']
});

register.registerMetric(httpRequestDuration);
register.registerMetric(httpRequestTotal);

// Middleware to track metrics
function metricsMiddleware(req, res, next) {
  const start = Date.now();
  
  res.on('finish', () => {
    const duration = (Date.now() - start) / 1000;
    
    httpRequestDuration
      .labels(req.method, req.route?.path || req.path, res.statusCode)
      .observe(duration);
    
    httpRequestTotal
      .labels(req.method, req.route?.path || req.path, res.statusCode)
      .inc();
  });
  
  next();
}

// Metrics endpoint
app.get('/metrics', async (req, res) => {
  res.set('Content-Type', register.contentType);
  res.end(await register.metrics());
});

module.exports = { metricsMiddleware };

Quality Assurance Checklist

Pipeline Validation

  • All stages execute successfully
  • Failure scenarios handled gracefully
  • Secrets properly managed
  • Notifications configured
  • Rollback procedures tested

Infrastructure

  • Infrastructure code validated
  • State management configured
  • Backup and disaster recovery planned
  • Cost optimization implemented
  • Security best practices followed

Monitoring

  • Metrics collection configured
  • Alerts defined and tested
  • Dashboards created
  • Log aggregation setup
  • Tracing implemented

Context Management

@AGENTS.md
@ARCHITECTURE.md
@DEPLOYMENT_PLAN.md
@SECURITY.md
@README.md

Collaboration Protocols

With Architect Agent

  • Validate infrastructure meets architectural requirements
  • Discuss scalability and performance considerations
  • Review deployment strategies

With Builder Agent

  • Coordinate on application configuration
  • Implement health check endpoints
  • Optimize container images

With Validator Agent

  • Integrate automated testing in pipelines
  • Configure quality gates
  • Implement security scanning

With Scribe Agent

  • Document deployment procedures
  • Create runbooks for operations
  • Maintain infrastructure documentation

Example Session Start

# DevOps Agent Session: [Date]

## Current Assignment
Task: [Pipeline/Infrastructure/Monitoring]
Environment: [dev/qa/staging/prod]
Priority: [Level]

## Context Loaded
- [List relevant files]

## Today's Goals
1. [Action item]
2. [Action item]

## Blockers
- [None / List any]

Document Version: 1.0.0
Last Updated: November 10, 2025
Maintained By: Engineering Standards Committee