Abstract
During the past decade, the rapid growth of data, rising user requirements and the need for stable applications have caused digital innovation to accelerate. Businesses that want to succeed in today’s data-driven climate are now moving away from monolithic systems toward designs that are designed for change and expansion. Adopting microservices architecture is one of the greatest ways organizations can now divide large, intricate applications into modular, separate parts. This report looks at how microservices can help make data-driven applications more able to handle growing demand. Because cloud-native development, real-time analytics and CI/CD are prominent in our times, software systems must be able to adapt, scale up and withstand pressure. Because developers use microservices to build single-function services, the entire system is flexible and adaptable. With composable services, they can be easily used and arranged again to tackle many needs in applications. It improves how resources are managed, helps the application operate smoothly and speeds up experimentation. For data-driven applications, the need for a good architectural model is even more important because these applications handle a large amount of data, both ordered and unordered, with fast response and near perpetual availability. To scale, these systems depend on handling data efficiently, being able to recover from mistakes and working together without issues. Microservices are used for this reason. In this report, we consider how composable microservices are used in practice to fulfill these needs. In gathering data for this report, we analyzed articles, technical papers and industry cases up to 2020 that have been published. The aim is to combine available knowledge to fully understand what composable microservices are and what they bring or don’t bring to scalable systems based on data.
View more >>