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Sedai is a comprehensive AI-first cloud optimization platform that autonomously manages and scales resources across hybrid and multi-cloud environments. By leveraging predictive analytics and machine learning, it anticipates workload fluctuations and optimizes compute, storage, and data resources automatically. Sedai supports Kubernetes clusters, enabling efficient containerized workload management with automated scaling and allocation. Its no-risk optimization ensures that all changes are validated before execution, preventing disruptions. The platform provides actionable insights for cost reduction, performance monitoring, and operational efficiency. Integrations with CI/CD pipelines and enterprise monitoring tools allow teams to streamline workflows, improve resource utilization, and maintain high availability for critical cloud services. Sedai helps organizations reduce cloud costs while ensuring performance, reliability, and scalability.

Key Features

  • Predictive cloud optimization using AI and machine learning

  • Autonomous management of compute, storage, and data resources

  • Kubernetes workload support with automated scaling and allocation

  • No-risk optimization validated before execution

  • Actionable cost reduction insights for cloud spending

  • Multi-cloud support: AWS, Azure, Google Cloud, and hybrid environments

  • Integration with CI/CD pipelines, monitoring, and enterprise systems

  • Continuous performance monitoring for resource efficiency

Industries

  • Cloud & Infrastructure

  • IT & DevOps

  • Kubernetes Management

  • Enterprise Technology

  • SaaS & Cloud Applications

  • Managed Services Providers (MSPs)

Sedai helps organizations optimize cloud resources autonomously across hybrid and multi-cloud environments. IT and DevOps teams can automatically manage compute, storage, and data allocations based on workload requirements. Kubernetes workloads are efficiently scaled and optimized without manual intervention. Predictive analytics allow teams to anticipate demand and adjust resources proactively. Actionable insights help reduce cloud expenditure while maintaining high performance. No-risk optimization ensures safe execution of changes. Performance monitoring provides continuous visibility into utilization and workload efficiency. Integration with CI/CD pipelines and monitoring tools streamlines workflows. Sedai supports AWS, Azure, Google Cloud, and hybrid deployments. Organizations can enhance operational efficiency, improve resource allocation, reduce manual tasks, and maximize ROI.

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