Migrating from Monolithic to Microservices Architecture

The client is one of the Big 4 consulting firms that provide professional services like strategy, digital, technology, operations and outsourcing for businesses, government organizations, and institutions worldwide. The client intended to transform the legacy on-premises monolithic application as its developers faced significant delays in their ability to make changes. The client wanted to transform its architecture and adopt microservices-based architecture to enable faster time to market and reduce the turnaround time for each release in order to meet the delivery timelines.

Client: Professional Services

Services: Microservices

Year: 2022

Key Challenges

The client faced challenges with monolith architecture that caused the server to hang and did not allow scaling up to handle heavy traffic
As the client’s application grew large and complex, it was challenging to maintain and make changes fast and correctly
Single codebase and tightly coupled architecture increased complexity and limited flexibility and reusability
The client wanted to speed up their software release cycles as they were not happy with the pace at which new features were being released to production
A Single Point of Failure (SPOF) – any bug/issue can potentially breakdown the entire application
Furthermore, the client wanted to adopt new and advanced technologies – but any changes in languages or frameworks could potentially affect the entire application

Table of Contents

Key Challenges
Solution
Benefits

Solution

Sparity implemented a number of product and process improvements, including test automation, implementation of CI/CD practices at the organization-wide level, and development of deliverable strategies for the whole software development lifecycle
Decoupled the dependencies in the monolithic system and implemented new functionality as services in the new architecture
Deployed the new microservices Application into Amazon Elastic Kubernetes Service (EKS) and used Ingress for load balancing
Used ELK stack for centralized, comprehensive monitoring solution
Developed an API Gateway that acts as a single point of entry for microservices
Utilized Couchbase DB that provides multiple levels of isolation to support multiple microservices
Employed Kafka for asynchronous communication between microservices
Implemented CI/CD to deploy microservices with AWS CodeBuild and CodePipeline
Cleaned up unnecessary code from the monolithic app
The system was monitored for performance, speed, load capacity, stability, optimization, and data normalization
Test automation embedded in the system to ensure security and governance compliance

Benefits

Assisted the client in reducing the overall complexity and opened the architecture for future extensibility
Migrating to a microservice architecture enabled better testability and shortened development cycles, so releases are ready for the market faster
Reduced the cost of development and maintenance of the application by 30%
Eliminated any long-term commitment to a specific technology stack
Improved fault isolation offered by individual modules – hence larger applications remain unaffected by a single failure
As a result of the microservices architecture, cross-functional teams can now develop, test, troubleshoot, deploy, and update services independently, resulting in quicker deployment and troubleshooting turnaround times
Improved the speed, quality, and manageability of new development by assigning specific services to individual development teams
Better scalability – each microservice can be scaled individually depending on load and processing power requirements

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