Sedai

Sedai is an autonomous cloud management platform. It uses AI to continuously monitor your cloud applications—things like resource usage, performance, and costs—and then makes adjustments on its own to keep everything running smoothly. Think of it as a self-driving system for your cloud infrastructure; instead of engineers manually tweaking settings, Sedai's AI analyzes data and applies changes to optimize for performance, reliability, and cost-efficiency without human intervention.

The tool works by connecting to your cloud environment (like AWS, Azure, or GCP) and learning the normal behavior of your applications. It then builds a 'knowledge model' for each service. Using this model, Sedai can automatically scale resources up or down, reconfigure settings, and even remediate issues in real-time. What sets it apart is the level of autonomy; it doesn't just alert you to problems, it proactively fixes them based on policies you set, aiming to reduce both downtime and unnecessary cloud spend.

This is most useful for platform engineers, SREs (Site Reliability Engineers), and DevOps teams managing complex, large-scale cloud applications. If you're tired of firefighting performance issues or dealing with surprise bills from over-provisioned resources, Sedai handles that grunt work. Real-world use cases include automatically scaling a retail website during a flash sale, right-sizing underused database instances to cut costs, or instantly rerouting traffic if a microservice starts to fail.