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Platform Engineering Guidelines

Introduction

Platform Engineering focuses on building and maintaining internal developer platforms that improve developer experience, productivity, and software delivery capabilities. This document outlines standards and best practices for designing, implementing, and evolving internal developer platforms within Bayat projects.

Core Principles

Self-Service by Design

  • Enable developers to provision resources without dependency on platform teams
  • Provide intuitive interfaces for common developer workflows
  • Automate repetitive tasks and reduce cognitive load
  • Design for minimal friction in the developer journey
  • Balance self-service with appropriate governance

Golden Paths

  • Create opinionated, well-supported paths for common workflows
  • Document clear entry points for different developer journeys
  • Balance standardization with flexibility for edge cases
  • Ensure golden paths evolve based on developer feedback
  • Support deviation from golden paths when necessary

Internal Developer Portal

  • Provide a single entry point for developer services and resources
  • Centralize documentation, tools, and service catalogs
  • Implement service ownership and metadata management
  • Support discoverability of internal services and APIs
  • Integrate monitoring and operational insights

Platform as a Product

  • Treat internal platforms as products with users (developers)
  • Apply product management principles to platform development
  • Define clear platform roadmaps and prioritization framework
  • Establish feedback loops with platform consumers
  • Measure platform adoption and effectiveness

Platform Components

Service Catalog

  • Maintain comprehensive inventory of internal services
  • Define standard metadata for all services
  • Implement clear ownership and support model
  • Provide service discovery mechanisms
  • Include service health and documentation links

Infrastructure Self-Service

  • Enable self-service provisioning of environments
  • Implement infrastructure as code templates
  • Provide standardized configuration management
  • Support automated resource cleanup
  • Include cost visibility and optimization

CI/CD Pipelines

  • Offer standardized CI/CD pipeline templates
  • Implement secure build processes
  • Provide deployment automation
  • Include integrated testing frameworks
  • Support canary and blue/green deployment strategies

Monitoring and Observability

  • Implement standardized observability stack
  • Provide application instrumentation libraries
  • Offer centralized logging and metrics collection
  • Include distributed tracing capabilities
  • Support custom dashboarding and alerting

Security Integration

  • Embed security scanning in developer workflows
  • Implement secrets management solutions
  • Provide identity and access management
  • Include compliance verification
  • Support vulnerability management

Platform Implementation

Platform Architecture

  • Design modular, extensible platform components
  • Implement API-first approach for all platform services
  • Define clear integration points and contracts
  • Create scalable and resilient platform infrastructure
  • Document platform architecture decisions

Reference Architecture

┌───────────────────────────────────┐
│    Internal Developer Portal      │
└───────────────┬───────────────────┘
                │
┌───────────────┼───────────────────┐
│               │                   │
│  ┌────────────▼─────────────┐     │
│  │  Service Catalog & APIs  │     │
│  └────────────┬─────────────┘     │
│               │                   │
│  ┌────────────▼─────────────┐     │
│  │   Platform Middleware    │     │
│  └────────────┬─────────────┘     │
│               │                   │
│  ┌────────────▼─────────────┐     │
│  │     Platform Services    │     │
│  └────────────┬─────────────┘     │
│               │                   │
└───────────────┼───────────────────┘
                │
┌───────────────▼───────────────────┐
│      Underlying Infrastructure    │
└───────────────────────────────────┘

Platform API Design

  • Create consistent, intuitive API interfaces
  • Implement API versioning and backward compatibility
  • Design for appropriate granularity and composability
  • Provide thorough API documentation
  • Include comprehensive error handling and status codes

User Interface Guidelines

  • Design intuitive UI for developer portal
  • Implement consistent navigation and information architecture
  • Provide clear visual hierarchy and actionable elements
  • Support accessibility requirements
  • Implement responsive design for different devices

Configuration Management

  • Define configuration management strategy
  • Implement secure configuration storage
  • Support environment-specific configurations
  • Create clear configuration inheritance model
  • Provide configuration validation and verification

Developer Workflows

Onboarding Experience

  • Design frictionless developer onboarding
  • Create standardized development environment setup
  • Provide project templates and starter kits
  • Include interactive tutorials and examples
  • Support progressive disclosure of complexity

Local Development

  • Provide local development environment tools
  • Implement consistency between local and production
  • Support debugging and troubleshooting capabilities
  • Create rapid feedback loops for developers
  • Include offline development capabilities

Testing Workflows

  • Define standard testing practices
  • Provide testing utilities and frameworks
  • Support test data management
  • Implement test environment provisioning
  • Include performance and security testing tools

Deployment Pipelines

  • Create standardized deployment workflows
  • Implement environment promotion strategies
  • Support release management and versioning
  • Include rollback capabilities
  • Provide deployment verification

Operational Tasks

  • Enable self-service operational capabilities
  • Implement runbook automation
  • Provide incident management tools
  • Support routine maintenance tasks
  • Include capacity planning tools

Governance and Operation

Platform Team Structure

  • Define platform team composition and skills
  • Establish clear roles and responsibilities
  • Create engagement model with development teams
  • Implement support and SLA framework
  • Define escalation paths and incident response

Change Management

  • Establish platform release process
  • Implement communication strategies for changes
  • Provide deprecation policies and timelines
  • Support backward compatibility
  • Include migration assistance for breaking changes

Adoption Strategy

  • Create compelling value proposition for developers
  • Implement incremental rollout approach
  • Provide comprehensive documentation and training
  • Identify and support platform champions
  • Measure and communicate platform benefits

Compliance and Security

  • Integrate compliance requirements into platform
  • Implement security by design principles
  • Provide audit trails and evidence collection
  • Support regulatory requirements
  • Include data sovereignty capabilities

Measurement and Improvement

Platform Metrics

  • Track platform usage and adoption
  • Measure developer productivity improvements
  • Monitor platform reliability and performance
  • Collect developer satisfaction feedback
  • Assess value delivery and business impact

Continuous Improvement

  • Establish feedback collection mechanisms
  • Implement regular platform retrospectives
  • Create improvement prioritization framework
  • Support experimentation and innovation
  • Maintain platform technical excellence

Maturity Model

Define platform maturity across different dimensions:

Dimension Level 1: Initial Level 2: Managed Level 3: Defined Level 4: Measured Level 5: Optimizing
Self-Service Manual processes with human gatekeepers Basic self-service for limited resources Comprehensive self-service capabilities Self-service with guardrails and verification Intelligent self-service with recommendations
Developer Experience Ad-hoc tools and processes Basic standardized tooling Integrated developer portal and workflows Data-driven DX improvements Predictive and personalized DX
Governance Reactive governance Basic policies and standards Automated policy enforcement Continuous compliance monitoring Risk-based governance model
Automation Limited automation Key workflows automated Comprehensive automation Self-healing automation AI-assisted automation
Platform Adoption Early adopters Growing adoption Widespread adoption Measured value delivery Culture of continuous improvement

Tool Recommendations

Developer Portals

  • Open Source: Backstage (Spotify), Clutch (Lyft), Port
  • Commercial: Humanitec, OpsLevel, Cortex, Shipa

Infrastructure Automation

  • Infrastructure as Code: Terraform, Pulumi, AWS CDK
  • Configuration Management: Ansible, Chef, Puppet
  • Container Orchestration: Kubernetes, OpenShift
  • Service Mesh: Istio, Linkerd, Consul

CI/CD Platforms

  • Continuous Integration: Jenkins, GitHub Actions, CircleCI, GitLab CI
  • Continuous Delivery: ArgoCD, Flux, Spinnaker, Harness
  • Build Tools: Bazel, Gradle, Maven, Nx

Observability

  • Monitoring: Prometheus, Grafana, Datadog
  • Logging: Elasticsearch, Loki, Splunk
  • Tracing: Jaeger, Zipkin, OpenTelemetry
  • APM: New Relic, Dynatrace, AppDynamics

Implementation Roadmap

Phase 1: Foundation

  • Establish platform team and vision
  • Implement basic developer portal
  • Create initial service catalog
  • Set up fundamental CI/CD capabilities
  • Implement core infrastructure automation

Phase 2: Expansion

  • Enhance self-service capabilities
  • Implement comprehensive observability
  • Integrate security and compliance
  • Expand golden paths coverage
  • Improve developer documentation

Phase 3: Optimization

  • Implement advanced platform analytics
  • Create developer productivity tooling
  • Optimize platform performance and reliability
  • Build cross-platform integration
  • Implement feedback-driven improvements

Phase 4: Innovation

  • Implement AI-assisted development
  • Create predictive platform capabilities
  • Support advanced deployment strategies
  • Implement platform experimentation framework
  • Enable developer-driven platform extension

Case Studies

Example: Developer Environment Provisioning

Before Platform Engineering:

  • Manual setup taking 2-3 days per developer
  • Inconsistent environments leading to "works on my machine" issues
  • Limited documentation and tribal knowledge
  • High support burden on infrastructure teams

After Platform Engineering:

  • Self-service environment provisioning in minutes
  • Standardized environments with proper governance
  • Comprehensive documentation in developer portal
  • 90% reduction in environment-related support tickets

Example: Deployment Pipeline Standardization

Before Platform Engineering:

  • Multiple custom pipelines with different approaches
  • Limited reuse of pipeline components
  • Inconsistent security and compliance checks
  • High maintenance burden

After Platform Engineering:

  • Standardized pipeline templates for common use cases
  • Reusable, composable pipeline components
  • Integrated security and compliance by default
  • Reduced maintenance through centralized updates

Appendix

Platform Engineering Reading List

  • "Team Topologies" by Matthew Skelton and Manuel Pais
  • "Accelerate" by Nicole Forsgren, Jez Humble, and Gene Kim
  • "Infrastructure as Code" by Kief Morris
  • "The DevOps Handbook" by Gene Kim, Jez Humble, Patrick Debois, and John Willis
  • "Building Evolutionary Architectures" by Neal Ford, Rebecca Parsons, and Patrick Kua

Platform Engineering Community Resources