Akamas | Monolithic Applications | credit/per month

Akamas is an advanced AI-powered performance optimization platform designed to help businesses maximize the efficiency of their IT infrastructure, applications, and cloud environments. By leveraging machine learning and deep automation, Akamas continuously analyzes system performance and recommends optimal configurations to enhance speed, reliability, and cost-effectiveness. It eliminates the need for manual tuning, allowing IT teams to focus on innovation while maintaining peak system performance.

One of the key strengths of Akamas is its ability to optimize complex applications across diverse environments, including cloud-native, containerized, and traditional on-premise systems. The platform automatically learns from real-world data, identifying performance bottlenecks and inefficiencies without human intervention. Whether optimizing databases, JVM parameters, or Kubernetes clusters, Akamas ensures that organizations achieve the best possible performance while reducing operational costs.

Akamas integrates seamlessly with modern DevOps and AIOps workflows, enabling automated performance tuning within CI/CD pipelines. By continuously adapting configurations based on workload behavior, the platform prevents performance degradation and ensures systems remain resilient under changing demands. Additionally, it supports various programming languages, frameworks, and cloud providers, making it a versatile solution for enterprises looking to scale efficiently.

With Akamas, businesses can significantly improve system responsiveness, optimize resource allocation, and enhance overall IT agility. By eliminating guesswork in performance tuning and leveraging AI-powered insights, organizations can achieve sustainable IT performance improvements while minimizing risks and costs.