API Registry
The Registry is the system of record for all API metadata, serving as the central source of truth for API specifications, versions, subscriptions, and governance policies. It provides both human-facing interfaces and machine-readable APIs for the entire platform.
2.1 Core Registry Components
High-Level Architecture
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flowchart TB
subgraph External["External Systems"]
Producer[API Producer Teams]
Consumer[API Consumers]
DevPortal[Developer Portal]
CICD[CI/CD Pipeline]
end
subgraph Registry["API Registry Core"]
RegistryAPI[Registry API Layer]
Catalog[API Catalog]
Subscription[Subscription Mgmt]
Schema[Schema Registry]
Policy[Policy Engine]
Discovery[Service Discovery]
end
subgraph Platform["Platform Services"]
Gateway[API Gateway]
Auditor[API Auditor]
end
Producer --> RegistryAPI
Consumer --> RegistryAPI
DevPortal <--> RegistryAPI
CICD --> RegistryAPI
RegistryAPI --> Catalog
RegistryAPI --> Subscription
RegistryAPI --> Schema
RegistryAPI --> Policy
RegistryAPI --> Discovery
Gateway <--> RegistryAPI
Auditor <--> RegistryAPI
Discovery --> Gateway
style Registry fill:#e8f4f8,stroke:#2c5aa0,stroke-width:3px
style External fill:#f0f0f0,stroke:#666,stroke-width:2px
style Platform fill:#fff4e6,stroke:#ff9900,stroke-width:2px
Registry Internal Components
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flowchart LR
subgraph Core["Core Services"]
Catalog[API Catalog & Metadata]
Subscription[Subscription Management]
Schema[Schema Registry & Compatibility]
Policy[Policy & Governance]
Discovery[Service Discovery & Routing]
end
subgraph Support["Support Services"]
API[Registry API]
Notify[Notifications & Events]
end
API --> Catalog
API --> Subscription
API --> Schema
API --> Policy
API --> Discovery
Catalog -.-> Notify
Subscription -.-> Notify
Policy -.-> Notify
style Core fill:#e8f4f8,stroke:#2c5aa0,stroke-width:2px
style Support fill:#f0f9ff,stroke:#0066cc,stroke-width:2px
Data Storage Layer
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flowchart TB
subgraph Services["Registry Services"]
Catalog[API Catalog]
Subscription[Subscriptions]
Schema[Schema Registry]
Policy[Policy Engine]
Discovery[Service Discovery]
end
subgraph Storage["Data Storage"]
DB[(PostgreSQL Primary DB)]
ES[(Elasticsearch Search Index)]
Redis[(Redis Cache)]
Git[Git Repo Version Control]
end
subgraph Integration["External Integration"]
Kafka[Kafka Event Bus]
Vault[HashiCorp Vault Secrets]
K8s[Kubernetes Service Discovery]
end
Catalog --> DB
Catalog --> ES
Catalog --> Git
Catalog --> Kafka
Subscription --> DB
Subscription --> Redis
Subscription --> Vault
Subscription --> Kafka
Schema --> DB
Policy --> DB
Policy --> Kafka
Discovery --> DB
Discovery --> Redis
Discovery <--> K8s
style Services fill:#e8f4f8,stroke:#2c5aa0,stroke-width:2px
style Storage fill:#fff9e6,stroke:#cc9900,stroke-width:2px
style Integration fill:#f0e6ff,stroke:#9900cc,stroke-width:2px
API Catalog & Metadata Management
Purpose: Stores and manages comprehensive metadata about all APIs in the organization.
Key Responsibilities:
- API registration and lifecycle management
- Create, update, deprecate, retire APIs
- Versioning with semantic version enforcement (major.minor.patch)
- Support for multiple API styles (REST, GraphQL, gRPC, WebSocket, async/event-driven)
- API specification storage
- OpenAPI 3.x specifications for REST APIs
- GraphQL schemas (SDL format)
- gRPC Protocol Buffers (.proto files)
- AsyncAPI specifications for event-driven APIs
- JSON Schema for data models
- Metadata enrichment
- Business metadata: purpose, owner team, business capability alignment
- Technical metadata: base URLs, authentication schemes, rate limits, SLAs
- Operational metadata: on-call rotation, incident response procedures
- Data classification: PII/PHI/PCI data indicators, data residency requirements
- Relationship mapping
- API dependencies (which APIs call which APIs)
- Upstream/downstream service graph
- Consumer impact analysis (who will be affected by changes)
- Change history and audit trail
- All modifications to API metadata tracked with timestamp and user
- Diff view for specification changes between versions
- Rollback capability to previous specification versions
Technical Implementation:
- Database: PostgreSQL or MongoDB for structured metadata + JSONB/document storage for specifications
- Schema validation: Automated validation of OpenAPI/GraphQL/AsyncAPI specs on upload
- Version control integration: Sync with Git repositories where specs are maintained
- Search and discovery: Elasticsearch for full-text search across API catalog
- API for programmatic access: RESTful API for CI/CD integration
Inputs:
- API specifications uploaded by producer teams (via UI, CLI, or CI/CD)
- Metadata forms from registration workflow
- Automated discovery from infrastructure (Kubernetes services, AWS API Gateway)
- Updates from governance workflow (approval status, deprecation notices)
Outputs:
- API catalog available via web UI and API
- Specification files served to Gateway for routing configuration
- Search results for developer discovery
- API dependency graphs for impact analysis
- Change notifications to subscribed consumers
Subscription Management System
Purpose: Tracks which consumers have access to which APIs and manages the subscription lifecycle.
Key Responsibilities:
- Subscription creation and approval workflow
- Consumer requests subscription via Developer Portal
- Automated approval for non-production environments
- Manual approval for production (API Review Board or producer team)
- Environment-specific subscriptions (dev, test, staging, prod)
- Credential issuance
- Generate API keys or OAuth client credentials
- Provision certificates for mTLS
- Configure identity provider (IDP) permissions
- Subscription configuration
- Rate limit tier assignment (bronze/silver/gold, custom SLAs)
- Access scope definition (which endpoints, read vs. write)
- IP allowlists/denylists for security
- Data residency restrictions (EU-only, US-only)
- Subscription lifecycle management
- Active subscriptions with monitoring
- Suspended subscriptions (exceeded rate limits, security violations)
- Expired subscriptions (time-limited access, trial periods)
- Revoked subscriptions (offboarding, security incidents)
- Renewal and upgrade flows
- Subscription expiration warnings
- Upgrade requests (higher rate limits, additional scopes)
- Downgrade handling (reduce costs, lower usage)
Technical Implementation:
- Database: Relational database with subscription, credential, and audit tables
- State machine: Subscription states (pending, active, suspended, expired, revoked)
- Credential storage: Encrypted secrets in HashiCorp Vault or AWS Secrets Manager
- Notification service: Email/Slack alerts for subscription events
- Sync to Gateway: Real-time or near-real-time sync of subscription changes
Inputs:
- Subscription requests from Developer Portal
- Approval decisions from API Review Board or producer teams
- Rate limit policies from governance configuration
- Suspension triggers from Gateway (rate limit violations, security events)
Outputs:
- API credentials delivered to consumers (securely)
- Subscription records synced to Gateway for authorization
- Subscription metrics (active subscriptions per API, churn rate)
- Renewal reminders and expiration notifications
- Billing/chargeback data for cost allocation
Schema Registry & Compatibility Checker
Purpose: Enforces backward compatibility and manages schema evolution across API versions.
Key Responsibilities:
- Schema versioning and storage
- Store all versions of API schemas (OpenAPI, GraphQL, Protobuf)
- Unique schema IDs for referencing (hash-based or sequential)
- Immutable storage (published schemas cannot be modified)
- Compatibility validation
- Breaking change detection (removed endpoints, changed field types, deleted fields)
- Backward compatibility: new version can be called by old consumers
- Forward compatibility: old version can handle new consumer requests (if applicable)
- Full compatibility: both backward and forward compatible
- Compatibility rules enforcement
- Producer-defined compatibility mode (backward, forward, full, none)
- Automated CI/CD checks to block breaking changes without major version bump
- Override capability with governance approval for exceptional cases
- Schema comparison and diff
- Visual diff of schema changes between versions
- Impact analysis: which fields/endpoints changed, which consumers affected
- Migration guide generation suggestions
Technical Implementation:
- Schema storage: Dedicated schema registry (Confluent Schema Registry, AWS Glue Schema Registry, or custom)
- Diff algorithms: JSONPath/GraphQL AST comparison, Protobuf descriptor comparison
- Compatibility rules: Configurable per API (strict for public APIs, relaxed for internal)
- Integration: Pre-commit Git hooks, CI/CD pipeline validation, PR checks
Inputs:
- New schema versions from producer teams
- Compatibility mode configuration (backward/forward/full)
- Previous schema versions for comparison
- Exception requests for breaking changes
Outputs:
- Compatibility validation results (pass/fail with detailed report)
- Breaking change alerts to producer teams and governance
- Schema diff reports for documentation
- Approved schema versions published to Registry catalog
Policy & Governance Engine
Purpose: Defines, stores, and enforces governance policies across the API lifecycle.
Key Responsibilities:
- Policy definition and storage
- Naming conventions (endpoint paths, parameter names)
- Required metadata fields (owner, support contacts, SLA)
- Security policies (required authentication, encryption, rate limits)
- Compliance policies (PCI-DSS, GDPR, HIPAA requirements)
- Versioning policies (max concurrent versions, deprecation timeline)
- Policy evaluation
- Automated policy checks during API registration
- Pre-deployment validation (all policies satisfied?)
- Continuous compliance monitoring (detect policy drift)
- Policy violation handling
- Block registration if critical policies violated
- Warning for advisory policies with grace period
- Escalation to governance board for policy exceptions
- Policy reporting
- Compliance dashboards (% of APIs meeting policies)
- Policy violation reports for governance review
- Trend analysis (are we improving or degrading?)
Technical Implementation:
- Policy language: Open Policy Agent (Rego), Cedar, or custom DSL
- Policy storage: Version-controlled policies in Git, loaded into Registry
- Evaluation engine: Real-time policy checks on API operations
- Extensibility: Plugins for custom policy checks (e.g., security scanning)
Inputs:
- Governance policies from API governance board
- API metadata and specifications for evaluation
- Historical compliance data for trend analysis
- Exception requests from producer teams
Outputs:
- Policy validation results (compliant/non-compliant with details)
- Compliance scores per API and organization-wide
- Policy violation alerts to producers and governance
- Exemption audit trail (who approved exceptions, why)
Service Discovery & Routing Configuration
Purpose: Maintains the mapping between API specifications and backend service instances.
Key Responsibilities:
- Backend service registration
- Producer teams register backend URLs for each environment
- Support for multiple backend instances (load balancing pools)
- Health endpoint configuration for monitoring
- TLS/mTLS certificate configuration
- Environment management
- Separate configurations for dev, test, staging, production
- Environment-specific routing rules (different backends per environment)
- Environment promotion workflow (testing → staging → production)
- Dynamic service discovery integration
- Integration with Kubernetes service discovery (query k8s API for endpoints)
- Integration with Consul, Eureka, or cloud-native service meshes
- Automatic updates when backend instances scale up/down
- Routing rule generation
- Generate Gateway routing configuration from API specs + backend mappings
- Path-based routing (URL patterns to backend services)
- Header-based routing (canary versions, A/B tests)
- Weight-based routing (traffic splitting)
- Configuration distribution
- Push configuration updates to Gateway instances
- Atomic updates across gateway cluster
- Rollback capability for bad configurations
Technical Implementation:
- Service registry: Database table mapping API versions to backend URLs
- Discovery integration: Kubernetes Informers, Consul watches, AWS Cloud Map
- Configuration templating: Generate Envoy/NGINX/Kong config from templates
- Push mechanism: Control plane API (xDS for Envoy), REST API for other gateways
Inputs:
- Backend service URLs from producer teams
- Service discovery data from orchestration platforms
- Routing policies (canary percentages, environment-specific rules)
- Health check results from Gateway
Outputs:
- Gateway routing configuration (endpoints → backends)
- Service health status for monitoring
- Configuration change logs for audit
- Alerts when backend services are unhealthy or unreachable
2.2 Registry Management & Supporting Services
Registry API (Public & Internal)
Purpose: Provides programmatic access to Registry data for platform components and external integrations.
Key Responsibilities:
- Public API (for producer and consumer teams)
- API catalog search and discovery
- API specification retrieval (OpenAPI, GraphQL schemas)
- Subscription management (create, view, renew)
- Metrics and analytics (my API usage, my subscriptions)
- Internal API (for platform components)
- Gateway configuration queries (routing rules, rate limits, subscriptions)
- Auditor data access (metadata for correlation with logs/metrics)
- Developer Portal data feeds (catalog, documentation)
- Webhook registrations for change notifications
- Admin API (for platform operations)
- Bulk operations (migrate APIs, batch update metadata)
- Manual overrides for emergency situations
- Policy management (create, update, delete policies)
Technical Implementation:
- REST API with OpenAPI specification
- GraphQL API for flexible querying (especially for UI)
- Authentication: OAuth 2.0 for user access, service accounts for platform components
- Rate limiting on API to prevent abuse
- Versioning: API versioned independently from Registry data model
Inputs:
- Requests from Developer Portal, CLI tools, CI/CD pipelines
- Queries from Gateway (subscription lookups, routing config)
- Analytics queries from Auditor
Outputs:
- API metadata, specifications, subscription data
- Configuration payloads for Gateway
- Search results and discovery responses
Notification & Event Service
Purpose: Sends notifications about API changes and lifecycle events to stakeholders.
Key Responsibilities:
- Change notifications
- New API version published
- API deprecated (advance warning to consumers)
- Breaking changes detected
- Subscription approved/rejected/expired
- Subscription lifecycle events
- Welcome email with credentials when subscription activated
- Renewal reminders (30 days, 7 days before expiration)
- Rate limit warnings (approaching 80%, 90% of quota)
- Suspension notifications with remediation steps
- Incident notifications
- API downtime or degraded performance
- Security incidents (credential compromise, suspicious activity)
- Planned maintenance windows
- Multi-channel delivery
- Email for formal communications
- Slack/Teams for real-time alerts
- Webhook callbacks for automated integration
- In-app notifications in Developer Portal
Technical Implementation:
- Event bus: Kafka, RabbitMQ, or AWS SNS/SQS for event streaming
- Notification templates: HTML email, Slack blocks, webhook payloads
- Delivery service: SendGrid, AWS SES for email; Slack API for messages
- Subscription preferences: Users configure which notifications they receive
Inputs:
- API lifecycle events (published, deprecated, retired)
- Subscription state changes
- Policy violations from governance engine
- Alerts from Gateway and Auditor
Outputs:
- Emails, Slack messages, webhooks to stakeholders
- Notification history for audit
- Delivery metrics (open rates, click-through rates)
Registry Admin UI & Management Console
Purpose: Web-based interface for Registry administrators to manage the platform.
Key Responsibilities:
- API management dashboard
- List all APIs with filters (owner, status, compliance)
- Bulk operations (deprecate multiple versions, update metadata)
- API dependency visualization (graph view)
- Subscription administration
- View all subscriptions across organization
- Manual approval/rejection of pending requests
- Credential rotation and revocation
- Investigate subscription issues (why was it suspended?)
- Policy management
- Create and edit governance policies
- View compliance reports and violations
- Approve policy exceptions
- Platform health monitoring
- Registry database health and performance
- API sync status (is Gateway config up to date?)
- Event delivery status (are notifications working?)
- User and access management
- Manage producer team permissions
- Onboard new API teams
- Audit user activity
Technical Implementation:
- Modern web framework: React, Vue, or Angular
- Admin-specific features with elevated permissions
- Real-time dashboards using WebSocket for live updates
- Export capabilities (CSV, PDF reports for governance reviews)
2.3 Registry Data Model & Storage
Core Entities:
- Application: Consumer applications with owner, contacts, purpose
-
APIVersion: API specifications with major.minor.patch versioning and protocol type (openapi graphql asyncapi grpc) - Environment: Dev, test, staging, production with separate configurations
- Subscription: Links Application + APIVersion + Environment with credentials, policies, and protocol-specific scope (endpoints for REST, operations for GraphQL, channels for AsyncAPI)
- Metrics: Usage statistics aggregated from Gateway logs
- Errors: Error patterns and troubleshooting data
- Policies: Governance rules with evaluation logic
- Backend Services: Service instances with health status
Protocol-Specific Storage: | Protocol | Specification Format | Validation Tool | Schema Registry | |———-|———————|—————–|—————–| | REST | OpenAPI 3.x (YAML/JSON) | Spectral | Not required | | GraphQL | SDL schema | graphql-inspector | GraphQL schema registry | | AsyncAPI | AsyncAPI 2.x (YAML/JSON) | asyncapi-parser | Schema Registry (Avro/JSON Schema) | | gRPC | Protocol Buffers (.proto) | protoc compiler | Buf Schema Registry |
Database Design:
- Primary database: PostgreSQL for relational data integrity
- Document storage: JSONB columns for flexible specification storage
- Full-text search: Elasticsearch for catalog discovery
- Cache layer: Redis for frequently accessed data (subscriptions, routing config)
- Event store: Kafka or database event log for audit trail
Data Integrity:
- Foreign key constraints (subscriptions reference valid APIs and applications)
- Unique constraints (semantic versions, API names within namespaces)
- Check constraints (valid semantic version format, valid URLs)
- Soft deletes: Retain historical data for audit (mark as deleted, don’t remove)
Performance Optimization:
- Indexes on frequently queried fields (API name, owner, status, version)
- Materialized views for complex reports (API dependency graph)
- Read replicas for high-volume query workloads
- Caching layer for Gateway configuration queries (< 10ms response time)
2.4 Registry Deployment & Operations
High Availability:
- Active-active database cluster with automatic failover
- Multi-AZ deployment for regional resiliency
- Backup and restore procedures (daily backups, point-in-time recovery)
Scaling:
- Horizontal scaling of API servers behind load balancer
- Database read replicas for query scaling
- Cache layer to reduce database load
- Async processing for heavy operations (bulk imports, report generation)
Observability:
- Logs: All API requests, database queries, policy evaluations
- Metrics: API latency, database connection pool usage, cache hit rate
- Alerts: Database down, API error rate spike, sync lag with Gateway
- Dashboards: Registry health, API catalog growth, subscription trends
Security:
- Encryption at rest for database (API specifications, credentials)
- Encryption in transit (TLS for all API communication)
- Secrets management for database credentials, API keys
- Regular database security patches and vulnerability scans
- Access control: RBAC for Registry admin functions
Next: API Auditor