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System Modernization for Enhanced Deployment Speed and Software Reliability
  1. case
  2. System Modernization for Enhanced Deployment Speed and Software Reliability

System Modernization for Enhanced Deployment Speed and Software Reliability

itmagination.com
Insurance
Home Services

Challenges in Deploying and Maintaining a Stable SaaS Platform

The client experiences frequent issues with manual infrastructure provisioning, lack of automated testing, and absence of continuous integration/continuous deployment (CI/CD) processes. These challenges result in high bug backlog, slow feature rollout, and difficulty ensuring software stability in production. With over 100,000 lines of legacy code and unresolved bugs, the client's development pipeline is inefficient and prone to regression risks, impeding rapid delivery of new features and upgrades.

About the Client

A mid-sized insurtech company providing subscription-based home repair coverage, seeking to improve their SaaS platform's stability, scalability, and deployment efficiency.

Goals for Enhancing Software Quality and Deployment Efficiency

  • Achieve stable and reliable deployment of SaaS platform updates at least bi-weekly, with minimized regression risks.
  • Implement automated end-to-end testing (unit, integration, and performance) to improve software quality.
  • Transition infrastructure provisioning to automated, documented processes within cloud environments to optimize system resources.
  • Refactor existing legacy codebase to improve maintainability and facilitate future scaling.
  • Establish comprehensive QA practices including test case management, manual and automated testing, and environment setup.
  • Develop and adopt a CI/CD pipeline to automate code integration, testing, and deployment workflows.

Core System Functionalities for Improved Deployment and Stability

  • Automated end-to-end testing framework covering unit, integration, and performance tests
  • New QA environment setup with structured manual testing and test case documentation
  • CI/CD pipelines enabling automated build, test, and deployment processes
  • Refactoring of legacy code to improve code quality, modularity, and maintainability
  • Comprehensive process and system architecture documentation
  • Cloud infrastructure automation and optimization

Preferred Technologies and Architectural Approaches

Cloud-based infrastructure (e.g., AWS)
Automated testing frameworks (e.g., Selenium, JUnit, Performance Testing tools)
CI/CD tools and pipelines (e.g., Jenkins, GitLab CI/CD, GitHub Actions)

External Systems and Tools Integration Needs

  • Cloud infrastructure provisioning and management tools
  • Version control systems (e.g., Git)
  • Automated testing and monitoring tools
  • Bug tracking and project management systems

Key Non-Functional System Requirements

  • System availability of 99.9% with minimal downtime during deployments
  • Ability to process and deploy updates rapidly, with a target TTM (time-to-market) of bi-weekly releases
  • Scalability to accommodate growth in codebase and user base
  • Security compliance for sensitive data handling and infrastructure

Projected Business Outcomes Through System Enhancement

Implementation of these improvements is expected to significantly enhance platform stability, reduce bug backlog, and shorten feature delivery cycles, resulting in more reliable and faster deployment of new functionalities. This will enable the client to better serve their customers, stay competitive in the insurtech market, and support future growth with scalable, maintainable software architectures.

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