GenAI-powered platform that modernizes legacy apps into microservices in 8 weeks with AI-driven analysis, refactoring, testing, and deployment.
iBEAM is a GenAI-powered platform that accelerates legacy application modernization into microservices in just 8 weeks. It uses AI for domain decomposition, code refactoring, dependency management, CI/CD optimization, automated testing, API documentation, and infrastructure optimization. The platform guides users through a structured 8-week process with weekly milestones, leveraging tools like GitHub Copilot and Tabnine. It aims to reduce modernization time and improve code quality, performance, and scalability.
check_circleProactive monitoring and performance optimization
check_circlePost-deployment support
check_circleIntegration with GitHub Copilot and Tabnine
check_circleIntegration with Zabbix or Prometheus
check_circle8-week structured modernization process
Use Cases
lightbulbEnterprise IT teams modernize monolithic legacy applications by using iBEAM's GenAI to decompose domains and generate microservices blueprints, reducing planning time from months to weeks.
lightbulbSoftware architects leverage AI-driven code analysis to identify tightly coupled components and predict dependency issues, ensuring cleaner service boundaries and fewer integration conflicts.
lightbulbDevOps engineers optimize CI/CD pipelines with GenAI recommendations for faster build times and improved test coverage, cutting deployment cycles by 30%.
lightbulbQA teams automate test case generation from code analysis, achieving comprehensive coverage and reducing manual testing effort by 50%.
lightbulbTechnical writers use GenAI to auto-generate initial API documentation drafts, freeing them to focus on refining clarity and completeness.
lightbulbInfrastructure engineers apply AI-powered configuration optimization to reduce cloud costs and improve security, achieving 20% cost savings.
lightbulbOperations teams implement proactive monitoring with GenAI analyzing real-time metrics to recommend performance optimizations, ensuring high availability.
