microservices

Software needs to be scaled as a business grows. However, as software grows in size and complexity, it becomes more complicated to scale and develop as the business grows. Ensuing legacy systems may be optimized for better performance using best practices for the strangler application. Innovation, development, and reinvention are essential for a thriving business. Scaling and building existing software… Continue readingBest Practices in Strangler Pattern to Refractor Legacy Systems

A decoupled Service-Oriented Architecture is the blueprint for a microservices architecture. So microservices applications are designed and developed as a collection of loosely coupled services with private databases each per service. But then you may use different SQL or NoSQL databases for each service as per the kind of data you store and process within each service. That means you… Continue readingHow to Leverage Event-Driven Architecture for Microservices with AWS

Identify Logical Components In any IT system, three main components deal with information and data. Data objects represent logical constructs that show the data in use. Data actions refer to those commands which apply to multiple data objects to execute a task. The job to perform is the function that users want to fulfill as part of their organizational role.… Continue readingHow to unify under a Single Enterprise Microservices Architecture

Database per Microservice After organizations switch from monolithic systems to smaller microservices, they still choose to go along with a big central database. Although this method provides advantages in the short term, it will prove to be problematic in the long term. That’s because microservices have a close relation with the database layer. Thus, the purpose of creating microservices will… Continue readingMicroservice Architecture Best Practices and Patterns