Como você seleciona um padrão de design de microsserviço?

I always keep this 4 steps in mind to choose the best patterns: 1. Understand your system's goals and decompose using Domain-Driven Design to guide service boundaries. 2. Choose communication methods (synchronous or asynchronous) based on data consistency and integration needs. 3. Deploy resilience patterns like Circuit Breaker and operational patterns like log aggregation for smooth operations. 4. Align microservice design with team expertise, and be prepared to evolve patterns as system requirements change.

Microservice design patterns emphasize decentralization, clear service boundaries, lightweight communication, statelessness, resilience, scalability, observability, deployment independence, CI/CD, security, database design, and versioning. These elements collectively enable a modular, scalable, and reliable microservices-based architecture that enhances agility and ease of maintenance.

A) Begin by understanding your app's requirements - think about things like how big it might get, and how dependable it needs to be. B) Look at different patterns like Gateway or Event Sourcing. Consider what each pattern does well. C) Also, take into account the skills of your team and the tools you're using. D) Find the right balance between how complicated a pattern is and how easy it is to keep up. E) Go for a pattern that fits with what your app needs and where you want to go with it. F) If you're unsure, try a small test to see how well the pattern works. G) Don't hesitate to ask folks who know their stuff and be ready to adapt. Remember, one pattern doesn't fit all situations.

Microservice design patterns are standardized solutions to common architectural challenges that arise when building applications using the microservices architectural style. Microservices are an approach to software development where an application is broken down into a collection of loosely coupled, independently deployable services that communicate over a network. Each service is responsible for a specific business capability and can be developed, deployed, and scaled independently.

Design patterns, irrespective of their purposes, offer solutions to common problems or specific types of implementations required in certain areas. When it comes to microservices, I am familiar with several design patterns. One of these patterns is CQRS, which facilitates the segregation of efforts a crucial step when transitioning from a monolith to a microservices architecture. Another is the API Gateway, which shifts the responsibility of monitoring incoming packets for secure connections and much more. Each aspect, whether involving communication, database operations, inter-microservice communication, or deployment, presents its own set of challenges. I believe that for every repetitive challenge, a well-defined design pattern exists.

An e-commerce website with microservices for product catalog, shopping cart, and checkout process. If communication is slow or unreliable, users may experience long load times or errors when trying to checkout. As the website grows, the microservice architecture must scale to handle increased traffic. If the microservices are not designed to scale well, performance bottlenecks or outages may occur. The microservices should be well-defined, with each microservice responsible for a specific set of tasks. If there is overlapping or duplicated functionality, the architecture will be more complex and difficult to maintain.

To identify a possible module as a microservice, you can think of answers to the following questions. 1. Are we expecting lots of changes in the future for this module? 2. Are we expecting a huge load for this module 3. How can we share input/output data from this module? Do we need ACID properties? 4. Most important does your organization ready for the challenges associated with microservices? 5. Can you have a separated team/s so that team can be specialized within the selected domain? 5. What are the available technical expertise within the team?

Segregation of datastore versus traditionally used in Monolithic RDBMS systems stands one of the key aspects to make microservices architecture effective. Domain Driven Design would help segregating the entities and related business logic and datastore associated to it.

I believe that the process of identifying a design pattern for a specific software application remains essentially the same. It involves recognizing the domain requirements and visualizing how application components can interact. Additionally, identifying the parties communicating with your application, considering performance, addressing database concerns, ensuring security requirements for each application component, forecasting anticipated changes or customization needed for specific elements, and factoring in deployment logistics and costs are all crucial considerations during the pattern identification process.

There are some preferred microservices design patterns based on the problems you are trying to solve. Choosing the right design pattern becomes crucial. Visualising dataflow right from deployment to heavy load conditions on a production environment use-cases helps a lot.

To evaluate microservice design patterns, consider scalability, resilience, maintainability, performance, flexibility, decoupling, observability, security, deployment, team skills, resource overhead, and community support. Analyzing these aspects will help you choose the most suitable design pattern for your application, considering its requirements and long-term goals.

To evaluate a design pattern for a specific area, I would thoroughly study that pattern, listing both its probable drawbacks and advantages, using easily accessible case studies. I would create a proof of concept, identifying all the components of the application like pieces of a puzzle, and then assess their performance and security considerations in a comprehensive manner. After this initial review, I would approach the evaluation from a different perspective. Once satisfied, I would proceed to implement a pilot version. I would continually monitor its performance and make changes as necessary.

Domain driven design (DDD) is a powerful methodology that can greatly influence the design and implementation of microservices. DDD introduces and helps in identifying the bounded context, which are explicit boundaries around a specific business domain. Once we define the bounded context, each of these can be implemented as one micro service. This approach promotes a clear separation of concerns and allows teams to develop and maintain each microservice independently.

To apply a microservice design pattern, start by understanding your application's requirements and domain. Identify the different functional areas that can be broken down into separate services. Choose the appropriate microservice architecture pattern, such as API Gateway, Service Registry, or Event-Driven Architecture, based on your application's needs. Implement each microservice independently, ensuring proper communication and data sharing between them through well-defined APIs. Adopt best practices for deployment, monitoring, and scaling. Test thoroughly to ensure each microservice functions correctly and integrates seamlessly with others. Continuously monitor and optimize performance and reliability.

Application Requirements: understanding the functional and non-functional requirements of your application. This forms the foundation for pattern selection. Decomposition Strategy: Decide on the approach for breaking down your application into microservices. Choices include domain-driven design functional decomposition (separating functions into services), or process-driven decomposition Select the communication protocol that best suits your application's needs. Options like HTTP or gRPC offer varying levels of performance, complexity, and data consistency. Data Management: Determine how data will be managed across microservices. Choices range from a database per service to a shared database or event-driven architecture

When addressing the question of applying design patterns, we have already completed the decision phase, which includes the identification and decomposition of services. In the design phase, we carefully weigh design pattern options and select the most suitable one for piloting. Deployment decisions are then made based on this selection. To ensure the proper maintainability of the code, unit testing and API testing are essential. Furthermore, after deployment, continuous monitoring can be conducted using various available tools. If significant drawbacks are identified, a redesign can be performed. It is crucial to maintain proper documentation and effective communication with all stakeholders throughout this entire process.

To effectively combine multiple microservice design patterns, carefully analyze your application's requirements and select complementary patterns that align with your architecture. Ensure seamless communication between microservices using methods like Message Queue or Event Sourcing. Implement independent microservices with well-defined APIs, focus on data management, and apply security measures. Thoroughly test and continuously evaluate the combined patterns for a robust and scalable architecture.

Combining multiple microservice design patterns requires careful consideration and planning to ensure that the resulting architecture is scalable, maintainable, and efficient.

Referring to what I have already mentioned in the definition of design patterns for microservices, design patterns are solutions to specific sets of problems. After assembling all the components of an application, the process revolves around addressing diverse challenges with precisely defined solutions. Each facet of microservices – whether related to communication, database operations, security, or deployment – presents its own unique obstacles. And for every recurring challenge that surfaces, specific design patterns can be relied upon to provide effective solutions. In summary, the approach can be distilled into a cyclical mantra: combine, evaluate, review, redesign, and then repeat.

There are many books and blogs dedicated to microservices and software architecture. - - Books like "Building Microservices" by Sam Newman, "Microservices Patterns" by Chris Richardson, and "Domain-Driven Design" by Eric Evans. Follow the blogs from cloud providers like Azure, AWS. Cloud Providers often build new solutions using micro services and introduce new design patterns, these will help in stay up to date.

The microservice-based approach is not a silver bullet. It is not just a technical decision, your whole organization needs to be ready for it. Design, Develop & maintenance of microservices will be added more overhead. You have to compare these drawbacks with the benefit you planned to get with the microservice-based approach.

Besides choosing the correct design pattern for the problem to be solved, consider patterns to test microservices that go with the chosen aforementioned pattern. Always consider contract- and integration tests to verify the service works within its boundaries. For sagas, try to define Integration- or even some E2E test scenarios that ensure a proper rollback. For circuit breaks, embed a chaos monkey in the architecture to see that failures are not cascading. At best, think about and implement most of these tests as early as possible and observe the tests to find the services that need fine-tuning.

If not already decided, verify that a microservice architecture is the correct choice for the current stage of your software system. This architecture style adds additional complexity (like asynchronous communication, different consistency levels, data duplication, harder traceability and operability, etc.) which create the need for these design patterns I. The first place. Evaluate first if there might be better fits. Especially for smaller software development departments and early stage products, it might be better to go with a simpler architecture first, like a modular monolith, and have the discipline to prepare (by watching coupling and cohesion) for moving some of the modules to microservices if the need comes.