This article describes how EWE AG implemented a fully automated cloud-based system for power plant optimization and energy trading using AWS services and microservices architecture.

• Automated marketing of power plant flexibilities on intraday energy markets without trader intervention
• Microservice architecture uses Amazon EKS, OpenSearch, Managed Grafana, and DocumentDB
• Trading algorithm optimizes plant schedules every 5 minutes using mixed-integer linear programming
• RabbitMQ message broker decouples services for reliable asynchronous communication
• Risk control module validates orders against predefined limits before market execution
• Real-time dashboards monitor containers, trades, and algorithm performance
• Amazon Cognito secures all API endpoints with enterprise-grade authentication
• Solution integrates with Volue Algo Trader for programmatic market access to EPEX SPOT and Nord Pool

The system enables energy traders to focus on strategy development rather than repetitive dispatching tasks, demonstrating a reusable blueprint for automated asset-based algorithmic trading in the energy sector.