Bootstrap Deployment Plan - Example

📝 Note: This is an EXAMPLE of what gets generated in YOUR project when you run bootstrap_validation_loop.

Location in your project: your-project/docs/adrs/bootstrap-deployment-{timestamp}.md

Bootstrap Deployment Plan

Status

PROPOSED - Awaiting human approval

Context

This ADR documents the automated deployment plan generated for this project.

Detected Platforms: kubernetes, docker Recommended Platform: kubernetes Confidence: 92.5% Source: Validated Pattern (kubernetes-v1) Generated: 2025-01-23T10:30:45.123Z

Architecture Diagram

Deployment Workflow

Required Files

deployment.yaml

Purpose: Kubernetes Deployment manifest for application
Required: Yes
Secret: No
Can Auto-Generate: Yes
Best Practice: Use declarative YAML with resource limits
Validation: kubectl apply --dry-run=client -f deployment.yaml

service.yaml

Purpose: Kubernetes Service manifest for network exposure
Required: Yes
Secret: No
Can Auto-Generate: Yes
Best Practice: Use LoadBalancer or Ingress for production
Validation: kubectl apply --dry-run=client -f service.yaml

.env

Purpose: Environment variables for application configuration
Required: Yes
Secret: Yes (🔒 Should be in .gitignore)
Can Auto-Generate: Yes
Best Practice: Use Kubernetes Secrets for production
Validation: source .env && echo $DATABASE_URL

ingress.yaml

Purpose: Ingress resource for HTTP routing
Required: No
Secret: No
Can Auto-Generate: Yes
Best Practice: Use cert-manager for TLS certificates
Validation: kubectl apply --dry-run=client -f ingress.yaml

Environment Variables

DATABASE_URL (Required) 🔒
- PostgreSQL connection string for application database
- Default: postgresql://localhost:5432/myapp
REDIS_URL (Required) 🔒
- Redis connection string for caching and sessions
- Default: redis://localhost:6379
JWT_SECRET (Required) 🔒
- Secret key for JWT token generation
- No default - must be set manually
NODE_ENV (Required)
- Application environment mode
- Default: production
LOG_LEVEL (Optional)
- Logging verbosity level
- Default: info
PORT (Optional)
- Application HTTP port
- Default: 3000

Deployment Steps

Step 1: Prerequisites Validation

Command: kubectl cluster-info && kubectl version --client

Description: Verify kubectl is installed and cluster is accessible

Expected Output: Cluster connection details and kubectl version

Estimated Time: 30 seconds

Troubleshooting:

Verify KUBECONFIG environment variable is set
Check cluster credentials with kubectl config current-context
Ensure VPN connection if using private cluster
Verify cluster is running with cloud provider console

Step 2: Namespace Setup

Command: kubectl create namespace myapp && kubectl config set-context --current --namespace=myapp

Description: Create dedicated namespace for application resources

Expected Output: Namespace created confirmation

Estimated Time: 10 seconds

Troubleshooting:

If namespace exists, use kubectl get namespace myapp to verify
Check RBAC permissions with kubectl auth can-i create namespace
Verify cluster admin access if permission denied

Step 3: Create Secrets

Command: kubectl create secret generic app-secrets --from-env-file=.env

Description: Create Kubernetes secrets from environment variables

Expected Output: Secret created confirmation

Estimated Time: 15 seconds

Troubleshooting:

Verify .env file exists and is readable
Check secret format with kubectl get secret app-secrets -o yaml
Ensure .env file has proper KEY=VALUE format

Step 4: Deploy Application

Command: kubectl apply -f deployment.yaml && kubectl apply -f service.yaml

Description: Deploy application pods and expose via service

Expected Output: Deployment and service created

Estimated Time: 2-3 minutes

Troubleshooting:

Check pod status with kubectl get pods
View pod logs with kubectl logs <pod-name>
Describe pod for events: kubectl describe pod <pod-name>
Verify image pull access if ImagePullBackOff error
Check resource limits if pods are pending

Step 5: Deploy Ingress (Optional)

Command: kubectl apply -f ingress.yaml

Description: Configure HTTP routing and external access

Expected Output: Ingress created confirmation

Estimated Time: 1-2 minutes

Troubleshooting:

Verify ingress controller is installed
Check ingress status with kubectl get ingress
Wait for external IP assignment
Verify DNS records point to ingress IP

Step 6: Validation

Command: kubectl wait --for=condition=available --timeout=300s deployment/myapp

Description: Wait for deployment to become ready and healthy

Expected Output: Deployment available confirmation

Estimated Time: 1-5 minutes

Troubleshooting:

Check deployment status: kubectl rollout status deployment/myapp
View replica status: kubectl get rs
Check pod health: kubectl get pods -w
Review application logs for startup errors

Validation Checks

Cluster Connection (critical)
- Command: kubectl cluster-info
- Expected: Successful connection with cluster details
Namespace Exists (critical)
- Command: kubectl get namespace myapp
- Expected: Namespace found
Deployment Ready (critical)
- Command: kubectl get deployment myapp -o jsonpath='{.status.availableReplicas}' | grep -E '[1-9]'
- Expected: At least 1 replica available
Service Has Endpoints (error)
- Command: kubectl get endpoints myapp -o jsonpath='{.subsets[*].addresses[*].ip}' | grep -q .
- Expected: Service has healthy endpoints
Pods Running (critical)
- Command: kubectl get pods -l app=myapp --no-headers | grep -v Running && exit 1 || exit 0
- Expected: All pods in Running state

Risks

Image Pull Failures (high)

Likelihood: Medium
Mitigation: Use image-pull-secret and verify registry access before deployment

Resource Exhaustion (medium)

Likelihood: Low
Mitigation: Set resource requests/limits in deployment.yaml and monitor cluster capacity

Database Connection Issues (medium)

Likelihood: Medium
Mitigation: Verify DATABASE_URL is correct and database is accessible from cluster

DNS Resolution Failures (low)

Likelihood: Low
Mitigation: Check CoreDNS pods are running and service CIDR is correct

Prerequisites

Kubernetes cluster (v1.24+) running and accessible
kubectl CLI installed and configured
Container registry access for application images
Database instance accessible from cluster network
Redis instance accessible from cluster network (optional)
Ingress controller installed (if using ingress)
LoadBalancer support or NodePort access (cloud or on-prem)

Estimated Duration

Total: 10-15 minutes (excluding image pulls)

Prerequisites: 2 minutes
Namespace setup: 1 minute
Secret creation: 1 minute
Application deployment: 5-8 minutes
Validation: 2-3 minutes

Research Sources

This deployment plan was generated using:

Official Kubernetes Documentation
Kubernetes Best Practices
Validated Pattern: kubernetes-v1 (Community-maintained)
Platform detection from your project files

Decision

Status: ⏸️ AWAITING HUMAN APPROVAL

Please review this deployment plan and:

✅ Verify the recommended platform is appropriate (Kubernetes)
✅ Check that all required files are identified
✅ Review security considerations (environment variables, secrets)
✅ Validate deployment steps make sense for your environment
✅ Ensure prerequisites are met
✅ Approve or provide feedback for modifications

How to Approve

Option 1: Run Bootstrap (Recommended)

# Generated scripts are in your project root
./bootstrap.sh          # Deploy to your cluster
./validate_bootstrap.sh # Verify deployment

Option 2: Manual Deployment

If you prefer manual control, follow the deployment steps above in order.

Option 3: Modify and Re-generate

If this plan needs changes:

Update your validated pattern or ADRs
Re-run bootstrap_validation_loop tool
Review the updated plan

Consequences

Positive

✅ Automated Deployment: Single script deploys entire application stack

✅ Validated Approach: Using community-tested Kubernetes patterns

✅ Resource Tracking: SystemCard tracks all created resources for easy cleanup

✅ Reproducible: Same deployment every time

✅ CI/CD Ready: Scripts integrate with GitHub Actions or other CI/CD

✅ Production Best Practices: Includes health checks, resource limits, proper secrets management

Negative

⚠️ Initial Setup: Requires Kubernetes cluster and kubectl configuration

⚠️ Platform-Specific: This plan is specific to Kubernetes

⚠️ Secrets Management: Manual secret creation required before deployment

⚠️ Network Dependencies: Requires cluster network access to databases

Mitigation

Setup Complexity: Use managed Kubernetes (GKE, EKS, AKS) for easier cluster management
Secrets: Consider using external secret management (Vault, AWS Secrets Manager)
Network: Use Kubernetes NetworkPolicies for secure service communication

Cleanup Instructions

When you need to tear down this deployment:

# Option 1: Use generated cleanup script (recommended)
./cleanup.sh

# Option 2: Manual cleanup
kubectl delete all -l app=myapp
kubectl delete secret app-secrets
kubectl delete namespace myapp

# Option 3: CI/CD teardown and restart
./cleanup.sh && ./validate_bootstrap.sh && ./bootstrap.sh

What Gets Deleted:

All application pods (tracked by SystemCard)
Services and endpoints
Deployments and replica sets
Secrets (if specified)
Namespace (if specified)
Ingress rules (if specified)

What Persists (by design):

Persistent volumes (manual deletion required)
LoadBalancer external IPs (cloud provider cleanup)
Database data (external to Kubernetes)

SystemCard Resource Tracking

The following resources are being tracked for cleanup:

{
  "systemId": "kubernetes-bootstrap-1737628245123",
  "platform": {
    "type": "kubernetes",
    "version": "1.28",
    "detectionConfidence": 0.925
  },
  "resources": [
    {
      "id": "namespace-myapp",
      "type": "namespace",
      "platform": "kubernetes",
      "metadata": { "name": "myapp" }
    },
    {
      "id": "deployment-myapp",
      "type": "deployment",
      "platform": "kubernetes",
      "metadata": {
        "namespace": "myapp",
        "name": "myapp"
      },
      "dependencies": ["service-myapp"]
    },
    {
      "id": "service-myapp",
      "type": "service",
      "platform": "kubernetes",
      "metadata": {
        "namespace": "myapp",
        "name": "myapp"
      }
    }
  ],
  "cleanupPhases": [
    {
      "phase": 1,
      "description": "Delete application deployments and services",
      "commands": [
        "kubectl delete deployment myapp -n myapp",
        "kubectl delete service myapp -n myapp"
      ],
      "estimatedDuration": "30 seconds"
    },
    {
      "phase": 2,
      "description": "Delete namespace",
      "commands": ["kubectl delete namespace myapp"],
      "estimatedDuration": "1 minute"
    }
  ]
}

Next Steps

After Approval

Run Bootstrap:
```
./bootstrap.sh
```
Verify Deployment:
```
./validate_bootstrap.sh
```

Access Application:

# Get service external IP
kubectl get service myapp

# Or use port forwarding for local access
kubectl port-forward service/myapp 8080:80

Monitor Application:

# View pod logs
kubectl logs -f deployment/myapp

# Watch pod status
kubectl get pods -w

For CI/CD Integration

Add to your .github/workflows/deploy.yml:

- name: Deploy to Kubernetes
  run: |
    # Configure kubectl
    echo "${{ secrets.KUBECONFIG }}" > kubeconfig
    export KUBECONFIG=kubeconfig

    # Run bootstrap
    ./bootstrap.sh

    # Validate deployment
    ./validate_bootstrap.sh

For Production

Before deploying to production:

✅ Review all security settings (secrets, RBAC, network policies)
✅ Set up monitoring and logging (Prometheus, Grafana, ELK)
✅ Configure backup and disaster recovery
✅ Set up CI/CD automation
✅ Test rollback procedures
✅ Configure autoscaling (HPA, VPA)
✅ Set up alerting (PagerDuty, Slack)

📝 This ADR was auto-generated by the Bootstrap Validation Loop system using AI-powered deployment intelligence.

Tool: mcp-adr-analysis-server v2.1.11 Pattern: Validated Pattern kubernetes-v1 Generated: 2025-01-23T10:30:45.123Z SystemCard: Active (tracking 3 resources)

Support: GitHub Issues | Documentation

Bootstrap Deployment Plan

Status​

Context​

Architecture Diagram​

Deployment Workflow​

Required Files​

deployment.yaml​

service.yaml​

.env​

ingress.yaml​

Environment Variables​

Deployment Steps​

Step 1: Prerequisites Validation​

Step 2: Namespace Setup​

Step 3: Create Secrets​

Step 4: Deploy Application​

Step 5: Deploy Ingress (Optional)​

Step 6: Validation​

Validation Checks​

Risks​

Image Pull Failures (high)​

Resource Exhaustion (medium)​

Database Connection Issues (medium)​

DNS Resolution Failures (low)​

Prerequisites​

Estimated Duration​

Research Sources​

Decision​

How to Approve​

Consequences​

Positive​

Negative​

Mitigation​

Cleanup Instructions​

SystemCard Resource Tracking​

Next Steps​

After Approval​

For CI/CD Integration​

For Production​

Status

Context

Architecture Diagram

Deployment Workflow

Required Files

deployment.yaml

service.yaml

.env

ingress.yaml

Environment Variables

Deployment Steps

Step 1: Prerequisites Validation

Step 2: Namespace Setup

Step 3: Create Secrets

Step 4: Deploy Application

Step 5: Deploy Ingress (Optional)

Step 6: Validation

Validation Checks

Risks

Image Pull Failures (high)

Resource Exhaustion (medium)

Database Connection Issues (medium)

DNS Resolution Failures (low)

Prerequisites

Estimated Duration

Research Sources

Decision

How to Approve

Consequences

Positive

Negative

Mitigation

Cleanup Instructions

SystemCard Resource Tracking

Next Steps

After Approval

For CI/CD Integration

For Production