In software development, one of the primary goals is to write clean, maintainable and extensible code. To achieve this, developers often strive to design systems that are loosely coupled and separate concerns into smaller, more manageable components. Loose coupling refers to the practice of designing components that are not tightly dependent on one another, allowing them to be modified or replaced without affecting the rest of the system. Separating data into distinct layers, such as a database layer, further contributes to this modularity by allowing developers to focus on writing business logic without worrying about data management. Together, loose coupling and data separation provide a solid foundation for building scalable and adaptable systems that enable developers to concentrate on writing high-quality business logic. This approach also lends itself to platform engineering best practices, a popular methodology that is being implemented or considered by developer teams today.
Loose coupling is an important concept in microservices architecture because it helps to achieve the goal of creating modular, scalable and easily maintainable software systems. In a microservices architecture, individual services are designed to be independent, self-contained and loosely coupled, meaning they can be changed, updated or replaced without affecting other services or the system as a whole.
There are several benefits to loose coupling in microservices:
• Scalability: Microservices architecture allows scaling of individual services independently based on their needs, and with loose coupling, the interdependencies between services are minimized, allowing for better scalability.
• Maintainability: With loose coupling, it’s easier to make changes to individual services without disrupting the system as a whole, reducing the risk of introducing bugs and making maintenance tasks easier to perform.
• Flexibility: With a loosely coupled architecture, services can be developed, tested and deployed independently, enabling teams to work in parallel and make changes to the system without impacting each other.
Platform engineering plays a crucial role in ensuring that microservices are loosely coupled. A well-designed platform should provide a standardized set of APIs, protocols and interfaces for service communication, as well as tools and frameworks for building, testing, deploying and managing services. This enables service teams to focus on developing their services rather than worrying about the underlying infrastructure and communication protocols.
Moreover, platform engineering can also ensure that there is a standardized and centralized approach to security, monitoring and logging, which are critical aspects of microservices architecture. By providing a consistent and standardized approach to these areas, platform engineering can help ensure that individual services remain loosely coupled and can evolve independently, without negatively affecting the system as a whole.
It’s All About Keeping the Schema Separate
In platform engineering, the concept of keeping the schema separate typically refers to separating the schema of a database or data store from the application code that interacts with it. This separation allows for greater flexibility and scalability in the platform, as changes to the schema can be made independently of the application logic. By decoupling the schema from the application code, developers can avoid introducing breaking changes to the platform, and can more easily evolve and scale the platform over time.
Separating the schema also allows for different parts of the platform to interact with the same data store using their own specialized schemas, without interfering with each other. This is particularly important in large and complex systems, where different teams may be working on different parts of the platform concurrently. By keeping the schema separate, teams can work independently and avoid stepping on each other’s toes, while still interacting with the same underlying data store.
In summary, it’s all about the schema – don’t share databases and tables. The separation of data is fundamentally driven by that desire for loose coupling. Microservices should be as independent as possible from each other from design to development to production. Why? Efficiency. Disparate teams can change data structures and will not affect others versus the more traditional approach where we do share and it’s more cumbersome and involves more coordination between teams.
Keeping schema separate in platform engineering is important for several reasons:
● Scalability: Each microservice owns its private schema, which enables the platform as a whole to scale more effectively. As the platform grows and evolves, it may become necessary to change the data schema without necessarily changing the underlying code. Separating the schema makes it easier to make these changes without disrupting the rest of the platform.
● Maintenance: Separating schema from code makes maintenance easier. It allows developers to make changes to the schema without needing to change the code, which reduces the risk of introducing bugs or errors.
● Collaboration: Separating schema from code makes it easier for multiple developers to work on the platform at the same time. When developers work on the code and schema separately, they can work independently without interfering with each other’s work.
● Flexibility: Separating schema from code provides greater flexibility for integrating with other systems or applications. It enables the platform to adapt to changing requirements or to interface with different data sources more easily.
Separating Schema From Code is an Essential Practice
By hiding data from service components from other service components, It provides guardrails and “just works.” While it does provide a form of coupling, it’s through messaging (typically asynchronous). Platform engineering encourages good design patterns from the start versus having to be more aware of these things. It’s a lot easier for especially newer developers that are not familiar with some of these architectural patterns and can get themselves into trouble.
Overall, separating schema from code is an essential practice in platform engineering that provides scalability, maintenance, collaboration and flexibility benefits. It allows developers to build more robust and flexible platforms that can adapt to changing business requirements and technical environments.
