Sedai for Kubernetes: Autonomous Optimization & Remediation

Sedai for Kubernetes is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize performance cloud cost savings, and availability at scale. Sedai enables Kubernetes teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, Kubernetes users can:

• Reduce costs by 50%
• Improve performance by 30%
• Reduce ops workloads by 33%
• Achieve 99.99% availability Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so teams can focus back on innovation.

Core Features:

• Autonomous Optimization. Sedai eliminates the need to overprovision by optimizing Kubernetes at the workload and cluster level by autonomously scaling: at the workload level Sedai can configure HPA and VPA for the best cost & performance without manual intervention and setting thresholds to optimize memory, CPU and replica sets for pods. At the cluster level Sedai selects instance types and node groups on an application-aware basis, factoring in application-level latency.
• Autonomous Purchasing. Sedai identifies the lowest cost combination of spot, on-demand and savings plans based on predicted traffic behavior.
• Autonomous Remediation helps teams meet availability SLAs and SLOs by predicting and detecting issues on a real-time basis and taking action (e.g., changes to memory limits, configuring CPU thresholds).
• Release Intelligence helps teams meet demands for faster release cycles by providing performance scores on every release with feedback on the quality of your deployments and changes in latency and errors.
• Smart SLOs help teams set and meet their SLOs: In addition to automatically analyzing and defining targets for you, manage error budgets with autonomous actions that prevent errors, downtime, and SLO breaches. Users can manually set SLOs or refine SLOs set automatically by based on performance trends. Sedai then optimizes performance to meet them (e.g., scale up resources to meet a performance SLO).

Sedai is easy to set up:

• Easy setup: Deploy with an agent-based or agentless approach that integrates with your cloud accounts and observability platforms to get up and running in minutes.
• Configuration-free: We infer your topology and metrics, and intelligently leverage them to detect signals based on observed performance.