From Speed to Sustainability: AI-Driven Performance Optimization and Its Energy Impact in Enterprise Applications

The rising complexity and scale of enterprise applications in the Age of AI demand a shift from purely speed-focused optimization toward a balanced approach that also prioritizes energy efficiency. This paper investigates how AI-driven performance engineering can simultaneously achieve high throughput, low latency, and reduced energy consumption in multi-tenant cloud architectures such as Java/J2EE-based systems deployed on Apache Tomcat, fronted by NGINX, powered by SAP HANA DB, and integrated with Databricks and API gateways (Apigee).