DepX is a next-generation AI-powered DevOps Copilot designed to streamline and automate DevOps processes for teams, enabling more efficient deployments and reducing manual workloads. It is intended to evolve into an AI DevOps engineer, capable of managing multiple aspects of the DevOps lifecycle, from monitoring to automation. As the CTO of DepX, I led the development of the platform, focusing on building a robust and scalable solution that integrates advanced AI technologies.

• Frontend: React.js, Next.js 14 for building a highly responsive, fast-loading, and intuitive user interface.

• Backend: Node.js and Python for handling server-side logic, API development, and automation workflows.

• Database: MongoDB for managing data persistence, ensuring efficient storage and retrieval of user and project data.

• Infrastructure: AWS for cloud infrastructure, ensuring scalable and secure deployment of the platform.

• AI Integration: OpenAI’s GPT models integrated for advanced conversational AI capabilities, enabling the platform to assist DevOps teams with tasks and troubleshooting in real-time.

• APIs: Integrations with various DevOps tools like Docker, Kubernetes, Jenkins, and GitHub, making it an all-in-one copilot for managing end-to-end workflows.

• Authentication: Implemented using AWS Cognito for secure user authentication and role management.

• Automation Tools: FARM stack (FastAPI, React, MongoDB, Python) for automating workflows and reducing manual intervention.

• Real-time DevOps automation powered by AI.

• Intelligent monitoring and alert systems integrated with common DevOps tools.

• Workflow automation for faster deployments and reduced errors.

• Secure authentication and data management.

• Scalable infrastructure capable of supporting enterprise-level operations.

DepX stands out for its ability to not only assist but also learn from each interaction, gradually evolving into a comprehensive AI-driven DevOps assistant. The project involved creating a flexible and powerful solution that would cater to a growing user base while keeping the core DevOps functionalities intact.