
Akamas
Leveraging patented reinforcement learning AI, Akamas optimizes enterprise applications for cost, performance, and reliability. Its Live Optimization dynamically tunes Kubernetes applications in real time, while Offline Optimization streamlines testing. By identifying ideal Kubernetes resources and automating performance enhancements, Akamas significantly reduces infrastructure costs and improves application responsiveness.
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Top Akamas Features
- Patented reinforcement learning AI
- Dynamic production application tuning
- Real-time data optimization
- Streamlined performance testing
- Kubernetes workload optimization
- Automated Spark job tuning
- Custom optimization goals support
- Proactive application insights
- Enhanced cloud decision-making
- Cost-efficient Kubernetes settings
- Automated configuration management
- Application runtime optimization
- Resilience and scalability improvements
- Reduced manual intervention
- Insightful performance recommendations
- Time-saving tuning automation
- Application-aware AI capabilities
- Carbon footprint reduction
- Increased throughput efficiency
- Decreased response time.