# Kubernetes Optimization Kubernetes optimization to reduce costs, improve performance, and protect SLOs. Continuously tune clusters without manual scaling or effort. ## 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. ## Sedai Ranks #1 in Key Features for Kubernetes Management! ## Optimize Kubernetes with Superintelligence Sedai's AI continuously learns your workload patterns, applying intelligent optimizations in real time — no human intervention required. It thinks ahead so your infrastructure runs smarter, not just leaner. ## 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 Smart Scheduler continuously packs workloads onto the nodes that fit them best, based on real utilization patterns — reducing waste while keeping services stable. ### Cluster-Level Optimization Smart Scheduler evaluates your cluster continuously, not just at the pod or node level — consolidating workloads onto fewer nodes automatically, with no manual step required. ## 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.” — 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. ### Learns Application Behavior ### Decides With Context ### Acts Safely ## Autonomy That Delivers Powered by real app behavior. Cloud Savings Performance Gain Failed Customer Interaction Reduction ## Optimize Your Entire Stack Sedai makes your stack smarter and safer. ### Node Optimization ### Supported Kubernetes platforms & container runtimes. ### Workload Optimization ### Supported workload-level autoscaling & orchestration technologies. ## Other Tools Automate. Sedai Acts With Real Context. | Other Solutions | Sedai | | --- | --- | | Metric-driven optimization, not behavior-aware | Behavior- and SLO-based optimization for accuracy | | Recommend changes instead of executing | Autonomously rightsizes and scales workloads | | Rule-based automation risks regressions & outages | Verifies impact continuously and rolls back on drift | | Tune Kubernetes in isolation, creates bottlenecks | Optimizes Kubernetes in full cloud context | | Limited controls for enterprise workflows | Operates within IaC, ITSM, and policy guardrails | ## Resources ## Optimize Kubernetes On Autopilot ## FAQs ### How safe is the Kubernetes optimization process? Sedai is built for production safety. Its patented optimization engine learns normal workload behavior and only applies incremental changes within cluster constraints. It then validates every action against live signals, rolling back automatically if performance drifts. Sedai has safely executed millions of optimizations across some of the world’s largest enterprises. It’s proven reliability at massive scale. ### How does Sedai ensure optimizations won’t impact performance or availability? Sedai builds a baseline of each workload’s normal behavior and only applies changes that don’t affect performance and availability. It continues monitoring afterward and can roll back if it detects early degradation. ### How does optimization work at the workload and infrastructure level? Sedai adjusts container CPU and memory based on real behavior. On supported clusters, Sedai can make these updates without restarting the pods. At the infrastructure level, Smart Scheduler continuously reviews node capacity, utilization, and placement to consolidate workloads and remove unnecessary nodes automatically. ### What specific configuration changes does Sedai make? Sedai automatically tunes Kubernetes resources based on real workload behavior. It adjusts vertical and horizontal scaling, including CPU, memory, replica counts, & scaling policies at the pod & container level. There's no need for manual tuning. At the infrastructure layer, Sedai selects the right instance types based on application-level latency requirements. With Smart Scheduler, Sedai goes beyond traditional autoscalers by continuously and automatically redistributing workloads and safely decommissioning unused nodes. You can unlock additional savings without compromising performance or reliability. ### What metrics does Sedai monitor? Sedai monitors CPU and memory usage with service-level signals like latency, traffic, errors, and saturation. ### Can I see optimization recommendations before they’re applied? Yes. Sedai offers multiple operating modes so you stay in full control. In Datapilot mode, Sedai shows recommendations without taking action. In Copilot mode, you review and approve optimizations before they’re applied. In Autopilot mode, Sedai applies safe, validated optimizations automatically. You can use different modes for different workloads or environments, letting you run Autopilot in production while keeping review-only modes in dev or staging. ### Can I control which resources Sedai optimizes? Yes. You can choose which clusters or workloads Sedai optimizes and which stay in recommendation-only mode. Sedai only makes changes where you’ve explicitly allowed it. ### How does Sedai pricing work for Kubernetes environments? Sedai’s pricing is based on the number of vCPUs under management. You only pay for the Kubernetes resources Sedai actively optimizes, not dashboards, seats, or passive monitoring. This vCPU-aligned model gives you predictable costs as your environments scale, with flexible tiers for dev, staging, and production. ### How does Sedai integrate with my Kubernetes environment? Sedai connects through the Sedai Smart Agent using standard Kubernetes APIs. It requires no deployment changes and only acts within your set permissions. ### Do I need to change our existing monitoring setup? No. Sedai works with the metrics and signals already exposed by your Kubernetes cluster and services. Sedai runs with your existing monitoring tools. ### How long does implementation take? We make setting up Sedai fast and simple. Onboarding usually takes a few hours once permissions are set. Even for environments with 20+ clusters. After implementation, Sedai needs about 2–4 weeks to learn your workloads and traffic patterns. Talk to our cloud experts for a personalized estimate of Sedai's time to value. ### Can Sedai optimize large-scale Kubernetes environments? Yes. Sedai can optimize large and distributed Kubernetes environments. It uses the same metrics and safety checks at any scale. No need to restructure your clusters. ### How much can I actually save on Kubernetes costs? Sedai dramatically reduces your Kubernetes costs. Our customers typically achieve a 30–40% cost reduction, plus improvements in performance & availability. Talk to our cloud experts for a personalized estimate of how much Sedai can save you.