Description

This curriculum spans the breadth of API integration work typically addressed across multiple design workshops and architecture reviews in large-scale organisations, covering the technical, operational, and governance decisions involved in building and maintaining APIs across distributed systems.

Module 1: API Strategy and Architecture Selection

Decide between REST, GraphQL, or gRPC based on data payload size, client requirements, and real-time needs in a multi-platform application ecosystem.
Evaluate whether to build public, partner, or internal APIs, considering security boundaries, rate limiting policies, and SLA commitments.
Select API-first vs code-first development based on team structure, product roadmap alignment, and stakeholder collaboration needs.
Implement versioning strategy (URI, header, or content type) to support backward compatibility during API evolution.
Define ownership and lifecycle management for APIs across distributed teams using domain-driven design principles.
Assess technical debt implications of maintaining multiple API versions and establish deprecation timelines with client notification procedures.

Module 2: API Design and Specification Standards

Enforce consistent request/response formats using OpenAPI Specification (OAS) with required fields, data types, and example payloads.
Standardize error handling patterns including HTTP status codes, error codes, and structured JSON error objects across all services.
Design pagination, filtering, and sorting mechanisms that balance performance with client flexibility in high-volume data scenarios.
Define naming conventions for endpoints, query parameters, and headers to ensure cross-team consistency and reduce integration errors.
Integrate API linting tools into CI pipelines to validate conformance with organizational design guidelines.
Document rate limits, quotas, and throttling behavior in API specifications to set client expectations and prevent service abuse.

Module 3: Authentication, Authorization, and Security Enforcement

Choose between OAuth 2.0 flows (client credentials, authorization code, device flow) based on client type and user interaction context.
Implement token validation at the API gateway or service mesh layer to offload security checks from individual microservices.
Configure scope-based access control to restrict API endpoints by user role or application privilege.
Rotate and manage API keys for third-party partners with audit logging and automated revocation policies.
Enforce TLS 1.2+ and disable outdated cipher suites across all API endpoints in production environments.
Integrate with enterprise identity providers (e.g., Okta, Azure AD) for centralized user lifecycle management and SSO support.

Module 4: API Gateway and Traffic Management

Configure routing rules and path rewrites in the API gateway to decouple client-facing URLs from internal service endpoints.
Implement rate limiting and quota enforcement per client or IP to prevent denial-of-service and ensure fair usage.
Deploy request/response transformation logic in the gateway to support legacy clients during migration phases.
Set up circuit breakers and retry policies to improve resilience during backend service outages.
Enable request logging and header masking in the gateway to balance observability with data privacy compliance.
Manage certificate rotation and SNI configuration for custom domains in multi-tenant API deployments.

Module 5: Integration Patterns and Data Synchronization

Select synchronous vs asynchronous communication based on latency tolerance, transactional integrity, and system coupling requirements.
Implement webhook delivery with retry mechanisms, signature verification, and delivery logs for event-driven integrations.
Design idempotency keys for POST operations to prevent duplicate processing in unreliable network conditions.
Use message queues (e.g., Kafka, SQS) to buffer API traffic during peak loads or backend maintenance windows.
Resolve data consistency issues between systems using distributed locking or saga patterns in long-running workflows.
Map and transform data models between external APIs and internal domain objects using canonical data formats.

Module 6: Observability, Monitoring, and Debugging

Instrument APIs with structured logging to capture request context, duration, and outcome for audit and debugging.
Define and track key metrics (latency, error rate, throughput) using time-series databases and visualization tools.
Implement distributed tracing with context propagation to diagnose performance bottlenecks across service boundaries.
Set up alerting thresholds for error spikes and latency degradation with escalation paths for on-call teams.
Correlate logs, metrics, and traces using a shared request ID across all integrated services.
Conduct postmortems for API outages and update runbooks with specific remediation steps and detection improvements.

Module 7: Governance, Lifecycle Management, and Compliance

Establish API review boards to approve new endpoints, deprecations, and breaking changes across business units.
Register APIs in a centralized catalog with metadata, owner information, and usage policies for discoverability.
Enforce data classification and masking rules in API responses based on GDPR, HIPAA, or internal privacy policies.
Conduct regular security audits of API endpoints to identify exposed PII, misconfigured access controls, or outdated dependencies.
Automate policy enforcement using API gateways and service meshes to block non-compliant deployments.
Archive and decommission unused APIs after validating client impact and redirecting traffic to newer versions.

Module 8: Scalability, Performance, and Reliability Engineering

Design caching strategies at the CDN, gateway, or application level to reduce backend load for read-heavy APIs.
Optimize payload size using compression, field selection, or delta encoding for mobile and low-bandwidth clients.
Conduct load testing with realistic traffic patterns to identify bottlenecks before production deployment.
Implement horizontal scaling of API services using container orchestration platforms with health checks and readiness probes.
Plan for regional failover by replicating state and routing traffic via DNS or global load balancers.
Use canary deployments and feature flags to gradually expose new API functionality and monitor impact on stability.

API Integrations in Application Development