BMAD-METHOD/expansion-packs/bmad-infrastructure-devops/templates/infrastructure-platform-from-arch-tmpl.md

{{Project Name}} Platform Infrastructure Implementation

[[LLM: Initial Setup

1. Replace {{Project Name}} with the actual project name throughout the document

2. Gather and review required inputs:

   • Infrastructure Architecture Document (Primary input - REQUIRED)
   • Infrastructure Change Request (if applicable)
   • Infrastructure Guidelines
   • Technology Stack Document
   • Infrastructure Checklist
   • NOTE: If Infrastructure Architecture Document is missing, HALT and request: "I need the Infrastructure Architecture Document to proceed with platform implementation. This document defines the infrastructure design that we'll be implementing."

3. Validate that the infrastructure architecture has been reviewed and approved

4. <critical_rule>All platform implementation must align with the approved infrastructure architecture. Any deviations require architect approval.</critical_rule>

Output file location: docs/platform-infrastructure/platform-implementation.md]]

Executive Summary

LLM: Provide a high-level overview of the platform infrastructure being implemented, referencing the infrastructure architecture document's key decisions and requirements.

• Platform implementation scope and objectives
• Key architectural decisions being implemented
• Expected outcomes and benefits
• Timeline and milestones

Joint Planning Session with Architect

LLM: Document the collaborative planning session between DevOps/Platform Engineer and Architect. This ensures alignment before implementation begins.

Architecture Alignment Review

• Review of infrastructure architecture document
• Confirmation of design decisions
• Identification of any ambiguities or gaps
• Agreement on implementation approach

Implementation Strategy Collaboration

• Platform layer sequencing
• Technology stack validation
• Integration approach between layers
• Testing and validation strategy

Risk & Constraint Discussion

• Technical risks and mitigation strategies
• Resource constraints and workarounds
• Timeline considerations
• Compliance and security requirements

Implementation Validation Planning

• Success criteria for each platform layer
• Testing approach and acceptance criteria
• Rollback strategies
• Communication plan

Documentation & Knowledge Transfer Planning

• Documentation requirements
• Knowledge transfer approach
• Training needs identification
• Handoff procedures

Foundation Infrastructure Layer

LLM: Implement the base infrastructure layer based on the infrastructure architecture. This forms the foundation for all platform services.

Cloud Provider Setup

• Account/Subscription configuration
• Region selection and setup
• Resource group/organizational structure
• Cost management setup

Network Foundation

# Example Terraform for VPC setup
module "vpc" {
  source = "./modules/vpc"

  cidr_block = "{{vpc_cidr}}"
  availability_zones = {{availability_zones}}
  public_subnets = {{public_subnets}}
  private_subnets = {{private_subnets}}
}

Security Foundation

• IAM roles and policies
• Security groups and NACLs
• Encryption keys (KMS/Key Vault)
• Compliance controls

Core Services

• DNS configuration
• Certificate management
• Logging infrastructure
• Monitoring foundation

[[LLM: Platform Layer Elicitation After implementing foundation infrastructure, present: "For the Foundation Infrastructure layer, I can explore:

1. Platform Layer Security Hardening - Additional security controls and compliance validation
2. Performance Optimization - Network and resource optimization
3. Operational Excellence Enhancement - Automation and monitoring improvements
4. Platform Integration Validation - Verify foundation supports upper layers
5. Developer Experience Analysis - Foundation impact on developer workflows
6. Disaster Recovery Testing - Foundation resilience validation
7. BMAD Workflow Integration - Cross-agent support verification
8. Finalize and Proceed to Container Platform

Select an option (1-8):"]]

Container Platform Implementation

LLM: Build the container orchestration platform on top of the foundation infrastructure, following the architecture's container strategy.

Kubernetes Cluster Setup

^^CONDITION: uses_eks^^

# EKS Cluster Configuration
eksctl create cluster \
  --name {{cluster_name}} \
  --region {{aws_region}} \
  --nodegroup-name {{nodegroup_name}} \
  --node-type {{instance_type}} \
  --nodes {{node_count}}

^^/CONDITION: uses_eks^^

^^CONDITION: uses_aks^^

# AKS Cluster Configuration
az aks create \
  --resource-group {{resource_group}} \
  --name {{cluster_name}} \
  --node-count {{node_count}} \
  --node-vm-size {{vm_size}} \
  --network-plugin azure

^^/CONDITION: uses_aks^^

Node Configuration

• Node groups/pools setup
• Autoscaling configuration
• Node security hardening
• Resource quotas and limits

Cluster Services

• CoreDNS configuration
• Ingress controller setup
• Certificate management
• Storage classes

Security & RBAC

• RBAC policies
• Pod security policies/standards
• Network policies
• Secrets management

LLM: Present container platform elicitation options similar to foundation layer

GitOps Workflow Implementation

LLM: Implement GitOps patterns for declarative infrastructure and application management as defined in the architecture.

GitOps Tooling Setup

^^CONDITION: uses_argocd^^

apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
  name: argocd
  namespace: argocd
spec:
  source:
    repoURL:
      "[object Object]": null
    targetRevision:
      "[object Object]": null
    path:
      "[object Object]": null

^^/CONDITION: uses_argocd^^

^^CONDITION: uses_flux^^

apiVersion: source.toolkit.fluxcd.io/v1beta2
kind: GitRepository
metadata:
  name: flux-system
  namespace: flux-system
spec:
  interval: 1m
  ref:
    branch:
      "[object Object]": null
  url:
    "[object Object]": null

^^/CONDITION: uses_flux^^

Repository Structure

platform-gitops/
 clusters/
    production/
    staging/
    development/
 infrastructure/
    base/
    overlays/
 applications/
     base/
     overlays/

Deployment Workflows

• Application deployment patterns
• Progressive delivery setup
• Rollback procedures
• Multi-environment promotion

Access Control

• Git repository permissions
• GitOps tool RBAC
• Secret management integration
• Audit logging

Service Mesh Implementation

LLM: Deploy service mesh for advanced traffic management, security, and observability as specified in the architecture.

^^CONDITION: uses_istio^^

Istio Service Mesh

# Istio Installation
istioctl install --set profile={{istio_profile}} \
  --set values.gateways.istio-ingressgateway.type={{ingress_type}}

• Control plane configuration
• Data plane injection
• Gateway configuration
• Observability integration ^^/CONDITION: uses_istio^^

^^CONDITION: uses_linkerd^^

Linkerd Service Mesh

# Linkerd Installation
linkerd install --cluster-name={{cluster_name}} | kubectl apply -f -
linkerd viz install | kubectl apply -f -

• Control plane setup
• Proxy injection
• Traffic policies
• Metrics collection ^^/CONDITION: uses_linkerd^^

Traffic Management

• Load balancing policies
• Circuit breakers
• Retry policies
• Canary deployments

Security Policies

• mTLS configuration
• Authorization policies
• Rate limiting
• Network segmentation

Developer Experience Platform

LLM: Build the developer self-service platform to enable efficient development workflows as outlined in the architecture.

Developer Portal

• Service catalog setup
• API documentation
• Self-service workflows
• Resource provisioning

CI/CD Integration

apiVersion: tekton.dev/v1beta1
kind: Pipeline
metadata:
  name: platform-pipeline
spec:
  tasks:
    - name: build
      taskRef:
        name: build-task
    - name: test
      taskRef:
        name: test-task
    - name: deploy
      taskRef:
        name: gitops-deploy

Development Tools

• Local development setup
• Remote development environments
• Testing frameworks
• Debugging tools

Self-Service Capabilities

• Environment provisioning
• Database creation
• Feature flag management
• Configuration management

Platform Integration & Security Hardening

LLM: Implement comprehensive platform-wide integration and security controls across all layers.

End-to-End Security

• Platform-wide security policies
• Cross-layer authentication
• Encryption in transit and at rest
• Compliance validation

Integrated Monitoring

apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
data:
  prometheus.yml: |
    global:
      scrape_interval: {{scrape_interval}}
    scrape_configs:
      - job_name: 'kubernetes-pods'
        kubernetes_sd_configs:
          - role: pod

Platform Observability

• Metrics aggregation
• Log collection and analysis
• Distributed tracing
• Dashboard creation

Backup & Disaster Recovery

• Platform backup strategy
• Disaster recovery procedures
• RTO/RPO validation
• Recovery testing

Platform Operations & Automation

LLM: Establish operational procedures and automation for platform management.

Monitoring & Alerting

• SLA/SLO monitoring
• Alert routing
• Incident response
• Performance baselines

Automation Framework

apiVersion: operators.coreos.com/v1alpha1
kind: ClusterServiceVersion
metadata:
  name: platform-operator
spec:
  customresourcedefinitions:
    owned:
      - name: platformconfigs.platform.io
        version: v1alpha1

Maintenance Procedures

• Upgrade procedures
• Patch management
• Certificate rotation
• Capacity management

Operational Runbooks

• Common operational tasks
• Troubleshooting guides
• Emergency procedures
• Recovery playbooks

BMAD Workflow Integration

LLM: Validate that the platform supports all BMAD agent workflows and cross-functional requirements.

Development Agent Support

• Frontend development workflows
• Backend development workflows
• Full-stack integration
• Local development experience

Infrastructure-as-Code Development

• IaC development workflows
• Testing frameworks
• Deployment automation
• Version control integration

Cross-Agent Collaboration

• Shared services access
• Communication patterns
• Data sharing mechanisms
• Security boundaries

CI/CD Integration

stages:
  - analyze
  - plan
  - architect
  - develop
  - test
  - deploy

Platform Validation & Testing

LLM: Execute comprehensive validation to ensure the platform meets all requirements.

Functional Testing

• Component testing
• Integration testing
• End-to-end testing
• Performance testing

Security Validation

• Penetration testing
• Compliance scanning
• Vulnerability assessment
• Access control validation

Disaster Recovery Testing

• Backup restoration
• Failover procedures
• Recovery time validation
• Data integrity checks

Load Testing

// K6 Load Test Example
import http from 'k6/http';
import { check } from 'k6';

export let options = {
  stages: [
    { duration: '5m', target: {{target_users}} },
    { duration: '10m', target: {{target_users}} },
    { duration: '5m', target: 0 },
  ],
};

Knowledge Transfer & Documentation

LLM: Prepare comprehensive documentation and knowledge transfer materials.

Platform Documentation

• Architecture documentation
• Operational procedures
• Configuration reference
• API documentation

Training Materials

• Developer guides
• Operations training
• Security best practices
• Troubleshooting guides

Handoff Procedures

• Team responsibilities
• Escalation procedures
• Support model
• Knowledge base

Implementation Review with Architect

LLM: Document the post-implementation review session with the Architect to validate alignment and capture learnings.

Implementation Validation

• Architecture alignment verification
• Deviation documentation
• Performance validation
• Security review

Lessons Learned

• What went well
• Challenges encountered
• Process improvements
• Technical insights

Future Evolution

• Enhancement opportunities
• Technical debt items
• Upgrade planning
• Capacity planning

Sign-off & Acceptance

• Architect approval
• Stakeholder acceptance
• Go-live authorization
• Support transition

Platform Metrics & KPIs

LLM: Define and implement key performance indicators for platform success measurement.

Technical Metrics

• Platform availability: {{availability_target}}
• Response time: {{response_time_target}}
• Resource utilization: {{utilization_target}}
• Error rates: {{error_rate_target}}

Business Metrics

• Developer productivity
• Deployment frequency
• Lead time for changes
• Mean time to recovery

Operational Metrics

• Incident response time
• Patch compliance
• Cost per workload
• Resource efficiency

Appendices

A. Configuration Reference

LLM: Document all configuration parameters and their values used in the platform implementation.

B. Troubleshooting Guide

LLM: Provide common issues and their resolutions for platform operations.

C. Security Controls Matrix

LLM: Map implemented security controls to compliance requirements.

D. Integration Points

LLM: Document all integration points with external systems and services.

LLM: Final Review - Ensure all platform layers are properly implemented, integrated, and documented. Verify that the implementation fully supports the BMAD methodology and all agent workflows. Confirm successful validation against the infrastructure checklist.

---

Platform Version: 1.0 Implementation Date: {{implementation_date}} Next Review: {{review_date}} Approved by: {{architect_name}} (Architect), {{devops_name}} (DevOps/Platform Engineer)