Monolith to Microservices

As part of the digital transformation, a project was undertaken to replace a monolithic application with a modern microservices architecture. The goal was to reduce complexity and improve scalability to bring new features to market faster. The monolithic structure led to maintenance issues and hindered further development. The first step involved a detailed analysis of the existing architecture to identify key functionalities for the migration. A gradual transition allowed core functionalities to be implemented as independent microservices without disrupting ongoing operations. The new microservices offer independent development opportunities and simplify the adaptation and scaling of the application. This phased migration helped minimize risks and achieve early successes.
Microservices
Technologies
The microservices were developed using Java and Spring Boot to ensure efficient and high-performing services. Apache Kafka was used for asynchronous communication between the services, enabling fast and reliable data processing. The services' REST interfaces were implemented according to modern standards, allowing for easy integration with other systems. Kafka's asynchronous communication ensures efficient management of data streams between the services. By using Spring Boot and Kafka, a scalable, flexible, and maintainable solution was created that meets the high demands for performance and reliability. For monitoring the microservices, Prometheus and Grafana were used. Prometheus is responsible for collecting and storing metrics, such as service performance and resource usage, while Grafana is used to visualize this data. This provided detailed insights into the performance and health of the services, allowing for early detection of issues and proactive resolution. The use of these monitoring tools ensured robust oversight of the microservices, guaranteeing both high availability and quick response times.
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