Techniques for Effective Data Management in Microservices
Anju Bhole · International Journal For Multidisciplinary Research · 2022
Microservices architecture is being used widely which has changed the way of developing applications with better scalability, fault isolation, and technology stacks flexibility. These advantages allow for rapid innovation and deployment, but they also present significant challenges, particularly when it comes to managing data across many, distributed services. This paper mainly covers different data management approaches that are fundamental to ensuring data consistency, integrity, and accessibility in a microservices environment. The role of maintaining latency and improving performance through common patterns such as database per service, eventual consistency, event driven architecture and service mesh are also discussed. Discusses emerging trends in data virtualization and serverless computing that can further simplify data design and management. Another focus of the paper is on implementing approaches that help to eliminate repetition of the same data, facilitate communication between services, and guarantee the availability of the same data in a microservices ecosystem. By presenting a thorough analysis of existing practices, the study seeks to offer valuable insights and recommendations for organizations looking to improve their data management strategies in microservice-based architectures.