Integration Infrastructure

Integration Infrastructure refers to the set of tools, practices, and protocols that enable different components of a software system (developed by autonomous, empowered product teams) to communicate and work together effectively.

Goal

The primary goal of Integration Infrastructure is to facilitate seamless communication and data exchange between different parts of a software product, ensuring that the system operates as a cohesive whole.

Context

Given the scale of the products that we build today there is often a need to modularise the system into smaller, more manageable components to reduce the cognitive load of understanding the system as well as to reduce the blast radius of changes. Once we have separate modules we need a way for them to communicate and work together effectively.

Types

TypeDescriptionUse CaseExamples
Message BusesEnable asynchronous communication between services, decoupling the production and consumption of messages.Event sourcing, logging, and analytics.Apache Kafka, RabbitMQ
API GatewaysProvide a single entry point for managing external and internal APIs, simplifying client access.Exposing services to external clients, enforcing security and access control.Kong, Apigee, AWS API Gateway
Service MeshFacilitates service-to-service communication in microservices architectures, providing capabilities like load balancing and service discovery.Microservices-based systems, where services need to communicate with each other.Istio, Linkerd, Consul
WebhooksEnable real-time communication between systems, allowing one system to notify another about specific events.Notifications, data synchronisation.Zapier, IFTTT, GitHub Webhooks

Inputs

ArtifactDescription
User StoriesDetailed descriptions of the functionality, performance criteria, and interfaces needed for each component.

Outputs

ArtifactDescriptionBenefits
Documented Integration StrategyA plan outlining the chosen integration patterns, tools, and standards for communication between systems.Provides a clear roadmap for development teams and promotes consistency.
Integrated SystemsSoftware applications capable of seamlessly exchanging data and functionalities as defined by the integration infrastructure.Enables efficient data flow and a unified user experience across various systems.

Anti-patterns

  • Tightly Coupled Systems: Designing systems where components are heavily dependent on each other's inner workings, leading to a fragile overall structure.
  • Over-Engineering: Implementing overly complex solutions that add unnecessary overhead and complexity.

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