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Enhancing Performance, Scalability, and Automation for Enterprise Architecture Software
  1. case
  2. Enhancing Performance, Scalability, and Automation for Enterprise Architecture Software

Enhancing Performance, Scalability, and Automation for Enterprise Architecture Software

n-ix.com
Other industries
Business services

Identifying Key Challenges in Product Delivery and Quality Assurance

The client faces intense market competition requiring rapid product release cycles, but current manual testing processes and outdated tech stacks hinder quick time-to-market and limit scalability. Operational overheads and maintenance complexities in regression testing reduce efficiency and increase costs.

About the Client

A mid to large-sized enterprise software vendor specializing in enterprise architecture, business process analysis, and application portfolio management, aiming to improve product delivery speed and quality.

Defining Objectives for Improved Performance and Automation

  • Modernize the technology stack to enhance product performance and scalability.
  • Implement automated testing frameworks to significantly reduce regression test cycle times.
  • Create a scalable R&D capability capable of expanding swiftly from small teams to large development units.
  • Establish comprehensive quality assurance operations, including manual and automated testing, to support rapid product iterations.
  • Develop an internal analytics dashboard for better portfolio insights and decision-making.
  • Provide training and technical support to strengthen customer satisfaction and support excellence.

Core Functionalities for Enterprise Architecture Product Modernization

  • Automated web functional testing covering user workflows and UI interactions.
  • API/web services testing to ensure backend interoperability and stability.
  • Integration with CI/CD pipelines to enable in-sprint testing parallel to development.
  • Performance and scalability enhancements to support increasing user loads.
  • Development of interactive, visual dashboards for portfolio analysis and insights.
  • Tools for manual QA process management and regression testing automation.

Technology Stack and Architectural Preferences

Web functional testing frameworks (e.g., Selenium, similar tools)
API testing tools (e.g., Postman, REST Assured, or equivalent)
CI/CD pipelines integration (e.g., Azure DevOps, Jenkins, GitLab CI)
Modern web technologies such as AngularJS or similar frameworks
Microsoft technologies including SQL Server, SharePoint, and Office integration
Cloud hosting (Azure or compatible cloud services)

Essential System Integrations

  • Existing enterprise architecture tools via APIs for testing and validation
  • Version control repositories for seamless CI/CD workflows
  • Customer support platforms to facilitate support operations
  • CRM or analytics tools for portfolio management dashboards

Performance, Scalability, and Security Expectations

  • System must support rapid test execution to enable fast release cycles
  • Scalability to grow from 5 to 40+ R&D team members within a few years
  • High availability and reliability in cloud hosting environments
  • Achieve a regression test cycle reduction of at least 50% compared to manual processes
  • Maintain a customer support satisfaction score of at least 4.8 out of 5

Expected Business Outcomes from the Modernization Initiative

By modernizing the technology stack and automating QA processes, the organization anticipates faster time-to-market, improved product quality, and reduced operational costs. Automated testing and enhanced scalability are expected to enable rapid expansion of R&D resources from small teams to large, agile units, ultimately supporting continuous innovation and strengthening competitive positioning.

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