Learn how Sedai autonomously optimizes AWS ECS clusters for performance, cost, and availability.
Sedai intelligently optimizes your ECS clusters at both task and container levels. The following optimization features are available for both Fargate and EC2-based clusters.

Cost Optimization and Resource Efficiency

Sedai autonomously optimizes ECS clusters and services to improve both cost and resource efficiency. This is achieved by:
  1. 1.
    Right sizing ECS services: Sedai determines the optimal CPU and memory for a particular service and then allocates these resources accordingly to prevent excessive cost.
  2. 2.
    Optimizing ECS cluster configurations: Sedai optimizes cluster CPU & memory configurations for both Fargate and EC2-based clusters to improve performance, scalability, and overall efficiency.
  3. 3.
    Using optimized purchasing options from cloud providers: Sedai uses cloud provider purchasing options to optimize ECS clusters for performance and cost.

Performance Optimization

In addition to optimizing cost, Sedai autonomously improves application performance. Sedai’s intelligent and continuous horizontal and vertical right sizing increases performance efficiency, allows for greater scalability, and ultimately improves overall reliability.

Availability Improvements

Sedai proactively detects potential availability issues and generates recommendations, restarts, and autonomous configuration updates so your resources remain reliable.

Autonomous ECS Auto Scaling Configurations

Sedai auto-selects and updates the best scaling policies for Amazon ECS Service Auto Scaling to ensure your ECS clusters run as efficiently as possible.