Kubernetes Optimization You Can Trust in Prod
Sedai doesn’t just recommend or automate Kubernetes optimizations. It makes safe, continuous changes for you based on real workload behavior. All without breaking prod.
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Optimize Kubernetes with Superintelligence
Sedai doesn’t just recommend or automate Kubernetes optimizations. It makes safe, continuous changes for you based on real workload behavior. All without breaking prod.
Kubernetes Workload, Node, & Cluster Optimization
Rule-based automation only works until workloads change. Sedai’s ML constantly adapts, keeping Kubernetes optimized even when behavior evolves.
Autonomous Workload Rightsizing
Continuously tunes pod CPU & memory based on real workload behavior. No static requests, limits or thresholds.
Smarter Node Utilization
Packs workloads based on real utilization patterns and performance. Reduce waste while keeping services stable.
Cluster-Level Optimization
Sedai evaluates your cluster beyond the pod or node level. So you get actual node reductions and real infra savings.
Autoscalers Tuned by AI. Not Guesswork.
Sedai doesn’t replace your Kubernetes autoscalers. It makes them more effective. It tunes policies from real behavior and SLOs, not static thresholds or manual guesswork.
Sedai keeps your autoscalers in line:
- HPA, VPA, KEDA and Cluster Autoscaler policy tuning
- Eliminates thrash and overreaction
- Coordinates autoscaling with autonomous rightsizing actions
- Applies safe, SLO-based guardrails

Kubernetes Cost & Capacity Intelligence
Most tools only show you where Kubernetes spend goes. Sedai actually knows why it’s happening and reduces spend for you.
Actionable Kubernetes Cost Visibility
See exactly where Kubernetes spend lives, and how optimizations reduce cost over time. Sedai turns cost drivers into actions for measurable, on-going savings.
Right Capacity, Right Commitment
Base capacity and purchasing on real workload behavior, not fixed estimates. Sedai matches what you buy to the right resources at the right time.
Waste Detection at Every Layer
Find inefficiencies across pods, nodes, and clusters. Sedai shows idle and over-provisioned capacity and removes it autonomously.
“Sedai has helped us save millions by optimizing and managing our own back-end services. But most importantly, Sedai has allowed us to respond in real time when anomalies are detected.”
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Suresh Sangiah
SVP of Engineering // Palo Alto Networks

How Sedai Optimizes Kubernetes Safely
Get safe, outcome-driven optimization at scale. Designed to act on real application behavior, with safeguards built into every decision.
Sedai learns how each Kubernetes service responds to traffic, how releases affect performance, and how resource changes impact cost.
Always optimize based on real conditions. Every optimization decision aligns with SLOs, release state, environment, & cost goals.
All autonomous changes execute incrementally, protected by validation and guardrails. Performance stays stable while staying safe in prod.



Autonomy That Delivers
Powered by real app behavior.
50%
Cloud Savings
75%
Performance Gain
70%
Failed Customer Interaction Reduction
Optimize Your Entire Stack
Sedai makes your stack smarter and safer.
Supported Kubernetes platforms & container runtimes.
EKS
AKS
GKE
OpenShift
Rancher
VMWare Tanzu
IBM Cloud Kubernetes Service
Oracle OKE
Platform9
DigitalOcean
Alibaba CS
ECS
Fargate
Other Tools Automate. Sedai Acts With Real Context.
Other Solutions
- Metric-driven optimization, not behavior-aware
- Recommend changes instead of executing
- Rule-based automation risks regressions & outages
- Tune Kubernetes in isolation, creates bottlenecks
- Limited controls for enterprise workflows
- Behavior- and SLO-based optimization for accuracy
- Autonomously rightsizes and scales workloads
- Verifies impact continuously and rolls back on drift
- Optimizes Kubernetes in full cloud context
- Operates within IaC, ITSM, and policy guardrails