💡Microservices are small, focused, and aligned with a bounded context.
🔗Independently deployable microservices enable small autonomous teams and better software development.
🌐Shared databases and data models among microservices break the autonomy and increase coupling.
🗺️Aligning with bounded contexts and avoiding shared data leads to loose coupling and easier scalability.
✅Explicit and defined conversations between microservices improve system integration and maintainability.
What makes microservices different from other architectural approaches?
—Microservices are small, focused, and independently deployable services that are aligned with bounded contexts.
Why is the independent deployability of microservices important?
—It enables small autonomous teams and better software development by allowing teams to work independently and deploy services separately.
How do shared databases and data models impact microservices architecture?
—Shared databases and data models increase coupling between microservices and break the autonomy and scalability of the system.
What is the significance of aligning with bounded contexts in microservices?
—Aligning with bounded contexts allows for loose coupling between microservices, making the system easier to work on and maintain.
How do explicit conversations between microservices improve system integration?
—Explicit conversations through well-defined APIs make system integration more manageable, decoupling the services and making them easier to change and add new features.
00:00Microservices are powerful and effective, but often misunderstood.
03:08Microservices are small, focused, and aligned with a bounded context.
10:10Shared databases and data models among microservices break the autonomy and increase coupling.
12:10Aligning with bounded contexts and avoiding shared data leads to loose coupling and easier scalability.
