Dependency Injection for Clean and Hexagonal Architecture
Learn how to decouple application layers, manage dependencies, and write highly testable code using modern software design patterns.
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Tungkol sa kursong ito
Maintaining large-scale web applications becomes a nightmare when your business logic is tightly coupled to databases, external APIs, or specific frameworks. Understanding how to decouple these layers is the key to building scalable, maintainable software. In this course, you will master the core principles of Dependency Injection (DI) and see how it serves as the backbone of Hexagonal Architecture, also known as Ports and Adapters. You will transition from writing rigid, tangled code to designing flexible, loosely coupled systems that are easy to test and adapt over time.
What you'll learn:
- Understand the foundational concepts of coupling, cohesion, and the Dependency Inversion Principle.
- Map the core components of Hexagonal Architecture, including domain models, ports, and adapters.
- Implement Dependency Injection patterns to cleanly separate your application layers.
- Configure DI containers and manage component lifecycles in modern web environments.
- Write robust unit tests by easily swapping real dependencies with test doubles and mocks.
- Apply clean architecture principles to prevent database and framework lock-in.
We begin with key terminology and the fundamental problems of tight coupling before diving into the architectural blueprints of ports and adapters. Through clear, step-by-step written explanations and practical code snippets, you will learn how to assemble these components into a cohesive, maintainable application structure. This course is designed for software developers and aspiring architects who want to level up their system design skills. No prior experience with advanced architectural patterns is required. Start reading today to build cleaner, more resilient web applications.
Ang makukuha mo
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Certificate ng pagtatapos
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Telepono o computer
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14-day refund
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2 oras 48 min ng practical content
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