Scaling up test infrastructure is a challenge faced by software development teams as projects grow in size, requiring efficient management strategies. Key challenges include resource allocation, maintenance overhead, test execution time, and cost management. Solutions to these problems include containerization with Docker, Infrastructure as Code (IaC), Continuous Integration/Continuous Deployment (CI/CD) pipelines, cloud-based testing platforms, and test orchestration tools. AI and machine learning technologies are also transforming software testing, with text generation platforms like ChatGPT being widely used for tasks such as test data generation and test case creation. By leveraging these modern tools and best practices, teams can overcome the challenges of scaling test infrastructure and ensure high-quality solutions in the market.