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Sedai

Sedai, an AI-powered autonomous cloud management platform, streamlines operations by continually optimizing cloud resources for cost, performance, and availability, reducing the pain of today’s manual

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What is Sedai?

Sedai is an AI-powered platform designed to manage cloud infrastructure automatically. It monitors your cloud environment continuously and makes adjustments to optimise cost, performance, and availability without requiring manual intervention. The tool works across major cloud providers and handles tasks like resource scaling, rightsizing instances, and identifying wasteful spending. It's aimed at engineering teams and DevOps professionals who want to reduce the operational burden of cloud management whilst keeping cloud costs in check.

Key features

Continuous cloud resource optimisation

monitors and adjusts cloud infrastructure automatically to balance cost, performance, and availability

Cost reduction

identifies and eliminates unused resources, recommends right-sizing for instances, and spots wasteful spending patterns

Performance management

scales resources based on demand to maintain application performance without manual tuning

Multi-cloud support

works across major cloud providers including AWS, Google Cloud, and Azure

Autonomous operation

applies optimisations automatically once policies are set, reducing need for manual cloud management

Alerts and insights

provides visibility into cloud spending and resource behaviour through dashboards and reporting

Pros & cons

Advantages

  • Reduces cloud bills by identifying waste and recommending or automatically applying cost optimisations
  • Saves engineering time by automating routine cloud management tasks that would otherwise require manual attention
  • Improves application performance through intelligent resource scaling and allocation
  • Works across multiple cloud providers, useful for organisations with multi-cloud strategies

Limitations

  • Effectiveness depends on having clear policies and thresholds set upfront; misconfigured rules could lead to poor decisions
  • May require integration work and ongoing tuning to match your specific infrastructure patterns and business requirements
  • Like most autonomous systems, there is risk of unintended changes if the platform doesn't account for your unique workload characteristics

Use cases

Reducing AWS, Google Cloud, or Azure bills for organisations with large or complex cloud infrastructure

Automating resource scaling for applications with variable traffic patterns to maintain performance whilst controlling costs

Right-sizing over-provisioned instances to free up budget without sacrificing reliability

Managing cloud resources across multiple cloud platforms from a single interface

Identifying and eliminating unused or orphaned cloud resources that accumulate over time

Ready to try Sedai?

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Pricing

Free

Free

Access to core platform features with basic optimisation capabilities and limited cloud environment monitoring

Paid Plans

Custom pricing

Full autonomous optimisation, multi-cloud support, advanced analytics, priority support, and custom policy configuration

Get started with Sedai

Click through to Sedai and start using it now.

Try Sedai free
  • Free plan available
  • No credit card