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Sedai delivers up to 35% cost reduction and 75% increase in performance with autonomous optimization at three levels: application, cluster and purchase.
Being agentless, Sedai does what no AiOps platform can do —autonomously and proactively act. Sedai uses reinforcement learning to continuously tune parameters for optimal results.
Reduce up to 60% of the work in managing cloud cost, performance and availability to help your team scale safer and faster. Sedai eliminates human toil to unlock release agility and faster innovation cycles.
With Sedai's autonomous concurrency, everything is done autonomously and behind the scene. Sedai adjusts your concurrency values for traffic and seasonality, observing the actual live invocation of your serverless function while optimizing the number of runtimes and frequency of warmups for increased performance.
Unlike automation solutions, Sedai optimizes availability and eliminates cold starts at minimum cost without any need for code and configuration changes, and without risk of cost overruns. Sedai takes only 10 minutes to setup.
With Sedai, you can scale your Kubernetes and AWS ECS for performance, reliability, availability and scalability while maximizing cost savings easily. Sedai's autonomous scaling is reliable, dynamic and predictive unlike the traditional autoscaling solutions that are static and requires a lot of configuration.
Using AI/ML algorithms, Sedai learns your applications and containers for predictive autonomous scaling that delivers on the promise of autoscalers without all the headache and challenges – no manual configurations, no errors, no toil required.
As well as powerful cost optimization, Sedai also enables you to hit performance and availability goals, and make tradeoffs with cost when needed:
Sedai automatically analyzes captures cost savings by optimizing your Kubernetes application at three levels: