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Cloud-Native Trademark Registry Modernization & Enhancement
  1. case
  2. Cloud-Native Trademark Registry Modernization & Enhancement

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Cloud-Native Trademark Registry Modernization & Enhancement

altoroslabs.com
Legal
Information technology
Business services

Performance, Scalability, and Security Challenges with Legacy Registry

Trademark Registry Corp.'s existing trademark registry, built on an outdated technology stack, experienced performance bottlenecks during peak traffic, leading to system crashes and hindering user access to both legal services and trademark search capabilities. The system lacked scalability to accommodate growing user loads and presented security vulnerabilities due to insecure authentication code distribution. The absence of a robust testing environment further compounded risks associated with new feature deployments.

About the Client

Trademark Registry Corp. is a leading provider of trademark registration and related legal services, serving individuals and corporations globally.

Project Objectives

  • Migrate the trademark registry to a scalable and highly available cloud-native architecture (Microsoft Azure).
  • Improve overall system performance, reducing response times to sub-second levels.
  • Enhance security measures to protect against unauthorized access and data breaches.
  • Enable advanced search capabilities through the integration of machine learning algorithms.
  • Improve developer velocity and reduce risk through the implementation of a comprehensive testing environment.
  • Deliver a mobile-friendly version of the search engine.

Functional Requirements

  • Trademark Search: Enable users to search for trademarks across a vast database, utilizing advanced filtering and keyword search.
  • Trademark Registration: Facilitate the online registration of new trademarks.
  • Trademark Management: Allow users to manage their registered trademarks (e.g., renewals, transfers).
  • Authentication & Authorization: Implement secure authentication mechanisms to protect access to sensitive data and functionalities.
  • Machine Learning-Powered Search: Leverage ML algorithms to improve search accuracy and relevance.
  • Mobile Search: Provide a mobile application for accessing the trademark search functionality.

Preferred Technologies

Microsoft Azure
Cloud-Native Architecture
Single Page Applications (SPAs)
C
JavaScript
ASP.NET
DevExpress
JQuery
Serilog
SQL Server

Required Integrations

  • Email Service Provider (for authentication code delivery)
  • Potential integration with legal document management systems

Key Non-Functional Requirements

  • High Scalability: The system must be able to scale horizontally to accommodate increasing user loads.
  • High Availability: Ensure continuous operation with minimal downtime.
  • Performance: Achieve response times of under one second.
  • Security: Implement robust security measures to prevent unauthorized access and protect sensitive data.
  • Testability: Enable automated and comprehensive testing throughout the development lifecycle.

Expected Business Impact

The successful completion of this project will enable Trademark Registry Corp. to significantly improve its service delivery, enhance user experience, and mitigate security risks. The modernized system will provide the scalability and performance needed to support future growth, strengthen its competitive position in the legal services market, and increase customer satisfaction. The introduction of machine learning-powered search will improve the value proposition of the trademark registry.

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