Microservices & APIs
Last updated
Last updated
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 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.
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.
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.
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.
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.
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.
