Enterprise | Machine Learning Approach | Autonomous Cloud Management Platform | Sedai
Sedai, led by Suresh Mathew, is a continuous autonomous cloud management platform that identifies and proactively handles possible production issues, boosting performance, maintaining availability, and controlling cloud expenses.
Every firm will have access to an autonomous application management system as a result of the system. In minutes, site reliability engineers (SREs) may connect Sedai to their cloud, and the platform will find resources and analyze traffic and performance indicators intelligently. Sedai then uses proactive measures to manage production settings in real-time, without the need for manual thresholds or human involvement.
Its machine learning approach detects signs early on and prevents problems before they occur. Because the system is context-aware, it may securely run in production while also proactively improving the overall experience.

Features:
- DISCOVERS
Data is detected and prioritized using DISCOVERS.
Sedai decodes the complexities of your whole cloud architecture, integrates effortlessly with your accounts, and automatically identifies and prioritizes your data using an agentless method. - LEARNING
Is always changing.
Sedai analyses and learns from all activities in your production settings in order to develop its intelligence models and adapt to the ever-changing landscape of your cloud. - ANALYZES
Is aware of the situation.
Sedai analyses performance in real-time using powerful machine learning and predictive analytics to identify opportunities to improve availability, performance, and cost. - ACTS
Seeks out possibilities in a proactive manner.
Sedai is the only intelligent autopilot capable of managing your production settings. It operates on your behalf in a secure manner to avoid problems and increase efficiency, as well as provide detailed insights to help you optimize your cloud operations.
Smarter cloud management
Sedai improves serverless functionalities and cloud applications with ease.
Maintain the highest possible standards of cloud dependability, availability, and security.
- Simplify your Kubernetes deployment.
Use your Kubernetes infrastructure to its full potential by proactively scaling application and cluster limitations based on seasonality. - Manage your Lambdas in a dynamic way.
Intelligent, traffic-based setups for your AWS Lambdas, ensuring that they function effectively all of the time.
In short, Sedia is an autonomous cloud management platform for SREs that can act independently and proactively manage production environments.
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