Customers are required to provide high-quality services while minimizing expenses and maintaining business agility. Modern applications, whether deployed on-premises or in the cloud, and regardless of being monolithic or microservices-based, present a complex landscape with thousands of parameters and numerous instance types that must be adjusted to pinpoint the ideal configuration for balancing performance, resilience, and cost-effectiveness. With Akamas, clients can articulate their specific optimization objectives and constraints, such as service level objectives (SLOs), enabling them to optimize their applications and IT infrastructures effectively. Users of Akamas can experience significant advantages, including a 60% reduction in infrastructure and cloud costs without sacrificing application performance, a 30% boost in transactions per second using the same resources, a 70% reduction in response times while minimizing peaks and fluctuations, and an impressive 80% savings in tuning time. Ultimately, Akamas' AI-driven optimization empowers organizations and online enterprises to enhance service quality, bolster resilience, and achieve substantial cost reductions, paving the way for a more efficient operational framework.