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.
- 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
- 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
- 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
- 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
- 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
- Enable self-service provisioning of environments
- Implement infrastructure as code templates
- Provide standardized configuration management
- Support automated resource cleanup
- Include cost visibility and optimization
- Offer standardized CI/CD pipeline templates
- Implement secure build processes
- Provide deployment automation
- Include integrated testing frameworks
- Support canary and blue/green deployment strategies
- Implement standardized observability stack
- Provide application instrumentation libraries
- Offer centralized logging and metrics collection
- Include distributed tracing capabilities
- Support custom dashboarding and alerting
- Embed security scanning in developer workflows
- Implement secrets management solutions
- Provide identity and access management
- Include compliance verification
- Support vulnerability management
- 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
┌───────────────────────────────────┐
│ Internal Developer Portal │
└───────────────┬───────────────────┘
│
┌───────────────┼───────────────────┐
│ │ │
│ ┌────────────▼─────────────┐ │
│ │ Service Catalog & APIs │ │
│ └────────────┬─────────────┘ │
│ │ │
│ ┌────────────▼─────────────┐ │
│ │ Platform Middleware │ │
│ └────────────┬─────────────┘ │
│ │ │
│ ┌────────────▼─────────────┐ │
│ │ Platform Services │ │
│ └────────────┬─────────────┘ │
│ │ │
└───────────────┼───────────────────┘
│
┌───────────────▼───────────────────┐
│ Underlying Infrastructure │
└───────────────────────────────────┘
- 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
- 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
- Define configuration management strategy
- Implement secure configuration storage
- Support environment-specific configurations
- Create clear configuration inheritance model
- Provide configuration validation and verification
- 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
- 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
- Define standard testing practices
- Provide testing utilities and frameworks
- Support test data management
- Implement test environment provisioning
- Include performance and security testing tools
- Create standardized deployment workflows
- Implement environment promotion strategies
- Support release management and versioning
- Include rollback capabilities
- Provide deployment verification
- Enable self-service operational capabilities
- Implement runbook automation
- Provide incident management tools
- Support routine maintenance tasks
- Include capacity planning tools
- 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
- Establish platform release process
- Implement communication strategies for changes
- Provide deprecation policies and timelines
- Support backward compatibility
- Include migration assistance for breaking changes
- 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
- Integrate compliance requirements into platform
- Implement security by design principles
- Provide audit trails and evidence collection
- Support regulatory requirements
- Include data sovereignty capabilities
- Track platform usage and adoption
- Measure developer productivity improvements
- Monitor platform reliability and performance
- Collect developer satisfaction feedback
- Assess value delivery and business impact
- Establish feedback collection mechanisms
- Implement regular platform retrospectives
- Create improvement prioritization framework
- Support experimentation and innovation
- Maintain platform technical excellence
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 |
- Open Source: Backstage (Spotify), Clutch (Lyft), Port
- Commercial: Humanitec, OpsLevel, Cortex, Shipa
- Infrastructure as Code: Terraform, Pulumi, AWS CDK
- Configuration Management: Ansible, Chef, Puppet
- Container Orchestration: Kubernetes, OpenShift
- Service Mesh: Istio, Linkerd, Consul
- Continuous Integration: Jenkins, GitHub Actions, CircleCI, GitLab CI
- Continuous Delivery: ArgoCD, Flux, Spinnaker, Harness
- Build Tools: Bazel, Gradle, Maven, Nx
- Monitoring: Prometheus, Grafana, Datadog
- Logging: Elasticsearch, Loki, Splunk
- Tracing: Jaeger, Zipkin, OpenTelemetry
- APM: New Relic, Dynatrace, AppDynamics
- Establish platform team and vision
- Implement basic developer portal
- Create initial service catalog
- Set up fundamental CI/CD capabilities
- Implement core infrastructure automation
- Enhance self-service capabilities
- Implement comprehensive observability
- Integrate security and compliance
- Expand golden paths coverage
- Improve developer documentation
- Implement advanced platform analytics
- Create developer productivity tooling
- Optimize platform performance and reliability
- Build cross-platform integration
- Implement feedback-driven improvements
- Implement AI-assisted development
- Create predictive platform capabilities
- Support advanced deployment strategies
- Implement platform experimentation framework
- Enable developer-driven platform extension
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
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
- "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