Application integration for platform builders (API311)

Application Integration for Platform Builders

Key Takeaways:

  1. Application Integration Challenges: Application integration represents a significant part of business requirements, but connecting individual components and ensuring seamless collaboration can be a complex task.

  2. Centralized vs. Decentralized Approach: Platform teams often take a centralized approach to application integration, while application teams prefer more autonomy. The goal is to find a balance between standardization and autonomy.

  3. Event-Driven Architecture and EventBridge: EventBridge plays a crucial role in enabling event-driven integration, allowing for decoupled publish-subscribe patterns and cross-account event delivery.

  4. Domain-Driven Design and Event Buses: Aligning event buses with domains helps distribute the ownership and management of event-driven integrations, balancing centralization and autonomy.

  5. Event Design and Schemas: Defining immutable, business-centric events and managing their versioning and schemas are essential for building a cohesive event-driven architecture.

  6. Platform Engineering Responsibilities: Platform teams can help accelerate application integration by managing the event stream, versioning, schemas, and operational concerns, while leaving the event processing logic to application teams.

  7. Tooling and Utilities: Tools like AWS PowerTools can simplify the implementation of best practices, such as data masking, fault tolerance, and observability, further empowering platform and application teams.

Architectural Principles and Patterns

  1. Integration Services: EventBridge, EventBridge Pipes, SQS, and Step Functions are services that support different integration patterns.
  2. Event Bus Topologies: Single-bus and multi-bus approaches, with the latter providing more autonomy to application teams.
  3. Domain-Driven Design: Aligning event buses with domains to distribute ownership and management of event-driven integrations.
  4. Event Design: Defining immutable, business-centric events, avoiding anti-patterns like using events as data transfer objects.
  5. Event Versioning and Schemas: Importance of explicit data contracts, managing forward and backward compatibility, and integrating with the schema registry.

Platform Engineering Responsibilities

  1. Event Stream Management: Controlling the event stream, including subscription rules, dead-letter queues, and cross-account delivery.
  2. Versioning and Schemas: Managing the schema registry and enabling version control for event definitions.
  3. Operational Concerns: Addressing data sensitivity, fault tolerance, and observability through centralized tooling and utilities.
  4. Control Plane: Providing a standardized interface for application teams to subscribe and unsubscribe from event streams.

Tooling and Utilities

  1. AWS PowerTools: Simplifying the implementation of best practices, such as data masking, fault tolerance, and observability.
  2. Event Catalog: Providing a dynamic, visual representation of event streams and their connections, enabling better documentation and management.

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