Context and problem In traditional architectures, the same data model is used to query and update a database. That’s simple and works well for basic CRUD operations. In more complex applications, however, this approach can become unwieldy. For example, on the read side, the application may perform many different queries, returning data transfer objects (DTOs)
In this article, we are going to discuss Microservices Distributed Transaction Management when performing CRUD operations. As you know that we learned practices and patterns about Microservices Data Design patterns and add them into our design toolbox. And we will use these pattern and practices when designing e-commerce microservice architecture. By the end of the article, you will learn how to manage distributed transaction in Microservices Architectures with applying Microservices Data Design patterns and principles. Microservices Distributed Transactions
In this article, we are going to discuss How to choose database for Microservices in order to understand data considerations for microservices with learning practices and patterns about Microservices Data Design patterns. And we will use these pattern and practices when designing e-commerce microservice architecture. By the end of the article, you will learn how to choose database in Microservices Architectures with applying CAP Theorem in Microservices Data Design patterns and principles. How to Choose a Database for Microservices
In this article, we are going to discuss Microservices Deployments with Containers and Orchestrators. As you know that we learned practices and patterns about Microservices Design patterns and add them into our design toolbox. And we will use these pattern and practices when designing e-commerce microservice architecture. By the end of the article, you will learn how to deploy microservices in Microservices Architectures with applying Microservices patterns and principles. Microservices Deployments with Containers and Orchestrators
Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. I see this pattern coming up more and more in the field in conjunction with Apache Kafka®. In these projects, microservice architectures