SDV Guide
digital.auto
  • Welcome
  • SDV101
    • Part A: Essentials
      • Smart Phone? No: Habitat on Wheels!
      • Basics: What is a Software-defined Vehicle
      • MHP: Expert Opinion
      • Challenges: What sets automotive software development apart?
      • SDV Domains and Two-Speed Delivery
    • Part B: Lessons Learned
      • Learnings from the Internet Folks
        • Innovation Management
        • Cloud Native Principles
          • DevOps and Continuous Delivery
          • Loose Coupling
            • Microservices & APIs
            • Containerization
            • Building Robust and Resilient Systems
      • Learnings from the Smart Phone Folks
    • Part C: Building Blocks
      • Foundation: E/E Architecture
        • Today`s E/E Architectures
        • Evolving Trends in E/E Architectur
        • Case Study: Rivian
      • Standards for Software-Defined Vehicles and E/E Architectures
      • Building Blocks of an SDV
        • Service-Oriented Architecture
          • The SOA Framework for SDVs
          • Container Runtimes
          • Vehicle APIs
          • Example: Real-World Application of SDV Concepts
          • Ensuring Functional Safety
          • Event Chains in Vehicle SOAs
          • Vehicle SOA Tech Stack
        • Over-the-Air Updates: The Backbone of Software-Defined Vehicles
        • Vehicle App Store: The Holy Grail of Software-Defined Vehicles
      • Summary: Building Blocks for Software-Defined Vehicles
    • Part D: Implementation Strategies
      • #DigitalFirst
      • Hardware vs Software Engineering
        • The Traditional V-Model in Automotive Development
        • Agile V-Model, anybody?
        • Key: Loosely Coupled, Automated Development Pipelines
        • The SDV Software Factory
      • Implementing the Shift Left
        • Simulation and Digital Prototyping
          • Early Validation: Cloud-based SDV Prototyping
          • Detailed Validation: SDVs and Simulation
        • Towards the Virtual Vehicle
          • Case Study: Multi-Supplier Collaboration on Virtual Platform
          • Long-Term Vision
        • Physical test system
        • De-Coupled, Multi-Speed System Evolution
        • Continuous Homologation
        • Summary and Outlook
      • Enterprise Topics
        • Variant Management
        • Engineering Intelligence
        • Enterprise Organization, Processes, and Architecture
        • Incumbent OEMs vs EV Start-ups
  • SDV201
  • ./pulse
    • SDV Enabling
      • SDV Business & Investment Enablement
      • SDV Culture
    • Lean Sourcing
      • LeanRM
        • Why so many Requirements?
      • SCM for SDVs
    • SDV Systems Engineering
      • LeanSE
      • SDVxMBSE
    • Digital First
    • Loose Coupling
      • API-first
      • Freeze Points
    • Automation and Engineering Intelligence
    • Continuous Homologation
    • Build / Measure / Learn
    • Community & Meetups
  • Glossary
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  2. Part B: Lessons Learned
  3. Learnings from the Internet Folks
  4. Cloud Native Principles
  5. Loose Coupling

Microservices & APIs

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Last updated 8 months ago

SDV Guide

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(c) 2025 Dirk Slama

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  • APIs: The Backbone of Communication
  • Real-World Application in Automotive
  • API Communication Patterns
  • Request-Response
  • Publish-Subscribe (PubSub)
  • Benefits of Microservices and APIs

A famous anecdote in the tech world involves then-CEO Jeff Bezos reportedly mandating that all teams at Amazon expose their data and functionality through Application Programming Interfaces (APIs). According to the story, he insisted that all teams communicate exclusively via service interfaces and design these interfaces to be externalizable to support future ecosystems. While the exact details of this mandate remain unverified, its impact on modern software development is undeniable, emphasizing modularity, scalability, and collaboration.

APIs: The Backbone of Communication

APIs serve as structured interfaces that allow different software components to interact, enabling the seamless exchange of data and functionality. Consider a large online e-commerce platform needing to share customer data across multiple teams. Instead of granting direct database access, a dedicated Customer Data Service can be built around the customer database, exposing essential data only through APIs.

For example, a web shop front-end might call an API method like getPurchaseHistory(), which retrieves a customer’s recent purchases, such as a Lego car, sneakers, and perfume. This ensures that the front-end team can access relevant data without knowing the database’s internal structure.

Real-World Application in Automotive

The API-driven approach extends well beyond e-commerce. In automotive contexts, APIs could facilitate functions like retrieving vehicle data or controlling components. An API such as getVehicleSpeed() could return the car's current speed.

Similarly, an API like openFrontLeftDoor() could be used to unlock and then open the door. This API must check whether the vehicle is stationary before proceeding, ensuring functional safety.

API Communication Patterns

Understanding API communication patterns is crucial because they define how services interact, ensuring efficient data exchange and system scalability. Two of the most important patterns are Request / Response and Pub / Sub, as will be explained in the following.

Request-Response

The Request-Response pattern is the most familiar API communication method. A service consumer sends a request to a service provider, which processes the request and sends back a response. This synchronous interaction is widely used in traditional web services.

Publish-Subscribe (PubSub)

An even more decoupled approach is the Publish-Subscribe (PubSub) pattern. Here, publishers broadcast relevant events to specific topics or channels without knowing who is listening. Subscribers interested in these topics automatically receive updates when new events occur. This architecture supports dynamic and scalable interactions.

Benefits of Microservices and APIs

Microservices and APIs enable agility, flexibility, and scalability on both technical and organizational levels. They enhance resilience by isolating failures, facilitate reuse of components, and streamline development and maintenance processes, ultimately reducing costs. When APIs are externalized, they even enable broader ecosystems, fostering innovation and collaboration beyond organizational boundaries.

By structuring complex systems into modular services with well-defined APIs, organizations can achieve a level of agility and scalability that would be impossible with monolithic architectures. This approach is foundational in building resilient, future-proof software systems.