METHODOLOGY FOR DEVELOPING AN EFFECTIVE IT ECOSYSTEM UNDER RESOURCE CONSTRAINTS

The current article presents the author's methodology of creating an effective IT-ecosystem under conditions of limited resources, developed and successfully implemented within the framework of the project on creating a new information technology platform for managing requests and solutions to emerging problems. A comprehensive approach to solving the problem is described, including both innovative methods of forming a development team and selecting optimal technological solutions, and designing a flexible system architecture. Special attention is paid to the use of the strategy of attracting and training young specialists under the guidance of an experienced developer, which allowed not only to optimize the project budget, but also to create a unique synergy in the team. The principles of using modern development technologies (TypeScript, React, Next.js) are disclosed, as well as a detailed description of methods for optimizing the database architecture and using cloud solutions for data storage. The process of system implementation, based on the principle of creating a minimum viable product and its early testing in real conditions, is discussed in detail. The results of the practical implementation of the project are analyzed, demonstrating high efficiency and scalability of the created system, capable of processing up to 10,000 requests per day. Special attention is paid to the description of methods of development process optimization, including the use of GitLab for version control and CI/CD automation, as well as the use of Docker containers to simplify deployment and ensure portability of the application between different environments. Database design and optimization principles are discussed to ensure high performance and system reliability. The importance of early involvement of users in the process of testing and finalizing functionality is discussed, which allows to create a product that meets both current customer demands and expected customer needs to the maximum extent possible.