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10. Decomposition patterns

Decomposition design patterns are used to break a #monolithic #application into smaller, more manageable #microservices.
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Migrating from Monolithic to Microservices Architecture

This is main the key steps to #migrate from a #monolithic to #microservices #architecture:
Step 1: Begin by evaluating your current #monolithic #application. Identify its components and determine which parts can be shifted to #microservices.

Step 2: Break down the monolith into specific #business functions. Each microservice should represent a distinct capability that aligns with your business needs.

Step 3: Implement the Strangler Pattern to gradually replace parts of the monolithic application with microservices. This method allows for a smooth migration without a complete transition at once.

Step 4: Establish clear #APIs and contracts for your microservices. This ensures they can communicate effectively and interact seamlessly.

Step 5: Create Continuous Integration and Continuous Deployment (CI/CD) pipelines. This automates testing and deployment, enabling faster and more reliable releases.

Step 6: Introduce mechanisms for #service discovery so that microservices can dynamically locate and communicate with each other, enhancing flexibility.

Step 7: Set up centralized logging and #monitoring tools. This provides insights into the #performance of your microservices, helping to identify and resolve issues quickly.

Step 8: Ensure consistent management of cross-cutting concerns, such as #security and authentication, across all microservices to maintain system integrity.

Step 9: Take an iterative approach to your microservices architecture. Continuously refine and expand your services based on feedback and changing requirements.
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5. Multi-Container Pattern 📦

The Multi-Container Pattern involves deploying multiple #containers that collectively provide a single functional unit. These containers work together to deliver a cohesive #application. This pattern is especially useful for breaking down #monolithic applications into smaller, more manageable components. 🧩
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