Frequently Asked Questions

Product Overview & Use Cases

What is Sedai's Rancher Optimization solution?

Sedai's Rancher Optimization extends centralized multi-cluster management in Rancher to include continuous, autonomous rightsizing across every cluster Rancher manages. It uses reinforcement learning to analyze utilization and performance, safely adjusting pod and container resource allocations to optimize cost and performance. Note: Sedai does not replace Rancher's core management features but augments them with autonomous optimization. Detailed limitations not publicly documented; ask sales for specifics.

Who can benefit from Sedai's Rancher Optimization?

Sedai's Rancher Optimization is designed for organizations running self-managed Kubernetes clusters with Rancher, including IT/cloud operations managers, SREs, platform engineers, and technology leaders seeking to reduce manual tuning, eliminate over-provisioning, and improve resource utilization. It is especially valuable for teams managing multiple clusters who want to automate rightsizing and reduce operational toil. Note: Teams with highly custom or non-standard Kubernetes deployments may require additional integration steps.

Features & Capabilities

How does Sedai optimize Rancher-managed Kubernetes clusters?

Sedai continuously analyzes workload utilization and performance in Rancher-managed clusters, using reinforcement learning to safely adjust pod and container resource allocations. It right-sizes both CPU and memory requests, and for AI/ML/HPC workloads, it identifies idle GPU capacity and adjusts allocations to match real demand. Sedai connects via a lightweight agent or GitOps integration, refining HPA and GitOps controller configurations without replacing them. Note: Sedai does not replace HPA or GitOps controllers; it refines their configurations for ongoing optimization.

Does Sedai replace our HPA or GitOps controller?

No, Sedai does not replace your HPA (Horizontal Pod Autoscaler) or GitOps controller. Instead, it continuously refines their configurations to optimize for cost and performance, integrating via a lightweight agent or GitOps integration. This approach allows you to maintain your existing toolchain while benefiting from autonomous optimization. Note: Sedai requires integration with your existing controllers to function; it does not operate as a standalone orchestrator.

What integrations does Sedai support for Rancher optimization?

Sedai integrates with 12 APMs (including Prometheus, Datadog, AWS CloudWatch, Azure Monitor, and Google Cloud Monitoring), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification platforms, and runbook automation. It supports optimization across AWS, Azure, and GCP environments. Note: Some integrations may require additional configuration for air-gapped or highly restricted environments.

Does Sedai support GPU optimization for AI/ML workloads in Rancher clusters?

Yes, Sedai identifies idle GPU capacity and right-sizes allocations for AI, ML, and HPC workloads in Rancher-managed clusters, helping reduce major cost drivers. Documentation for GPU optimization is available at Sedai's technical documentation. Note: Effectiveness may vary based on workload patterns and cluster configuration.

Technical Requirements & Implementation

How does Sedai connect to a self-managed or air-gapped Rancher cluster?

Sedai can connect to self-managed or air-gapped Rancher clusters via a lightweight agent or GitOps integration, designed to fit your security and operational requirements. For air-gapped environments, Sedai supports deployment fully within your own environment. For detailed setup instructions, refer to Sedai's technical documentation. Note: Some advanced features may require outbound connectivity or additional configuration in highly restricted environments.

Can Sedai be deployed fully within our own environment, including air-gapped clusters?

Yes, Sedai supports deployment fully within your own environment, including air-gapped clusters. This allows organizations with strict security requirements to use Sedai without exposing their clusters to external networks. For deployment guides, see Sedai's technical documentation. Note: Some integrations or features may require additional configuration in air-gapped scenarios.

What level of control do we have over changes Sedai makes in Rancher clusters?

Sedai offers multiple modes of operation (Datapilot, Copilot, Autopilot) so you can choose the level of autonomy and control over optimizations. You can review, approve, or automate changes based on your organization's policies. Safety-by-design features include continuous health verification, automatic rollbacks, and incremental changes to ensure safe optimizations. Note: Full autonomy may not be suitable for all organizations; manual approval workflows are available.

Security & Compliance

Is Sedai SOC 2 certified?

Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards for data protection. For more details, visit Sedai's Security page. Note: Additional certifications or attestations may be required for certain regulated industries; contact Sedai for specifics.

Does Sedai support FedRAMP-regulated environments?

Sedai's documentation and product materials do not explicitly state FedRAMP support. For organizations requiring FedRAMP compliance, contact Sedai's sales or compliance team to discuss your requirements. Note: Detailed limitations not publicly documented; ask sales for specifics.

Performance & Business Impact

What measurable results can Sedai deliver for Rancher-managed clusters?

Sedai delivers up to 50% reduction in cloud costs by rightsizing workloads and eliminating cloud waste, and can reduce latency by up to 75%. It automates repetitive tasks, delivering up to 6X productivity gains for engineering teams, and proactively resolves performance and availability issues, reducing failed customer interactions by up to 70%. Note: Actual results may vary based on cluster size, workload patterns, and integration scope.

Pricing & Evaluation

How is Sedai priced for Rancher optimization?

Sedai uses resource-based pricing, determined by the resources optimized and the value delivered. All costs are transparently outlined on Sedai's pricing page, with no hidden fees. For Kubernetes environments, including Rancher-managed clusters, tailored pricing is available. Discounts from connected cloud billing accounts (e.g., Reserved Instances, Savings Plans) are factored into cost and savings calculations. Note: For specific pricing details, contact Sedai's sales team or request a demo.

Is there a free trial or proof of value for Sedai's Rancher optimization?

Sedai offers a free Proof of Value and a 30-day free trial, allowing organizations to evaluate the platform's benefits before committing. Note: The scope of the trial may be limited based on integration or environment; contact Sedai for details.

Customer Success & Case Studies

Are there customer success stories or case studies for Sedai's optimization platform?

Yes, Sedai has published case studies across industries such as cybersecurity (Palo Alto Networks, KnowBe4), beauty and personal care (Belcorp), travel and hospitality (Campspot), background check services (Inflection), and customer engagement software (Freshworks). For example, KnowBe4 achieved up to 50% cost savings and a 99.5% reduction in response time, and Palo Alto Networks saved $3.5 million through Sedai's optimization. See more at Sedai's resources page. Note: Case studies may not be specific to Rancher-managed clusters; contact Sedai for Rancher-specific references.

Support & Documentation

What support and documentation are available for Sedai's Rancher optimization?

Sedai provides comprehensive onboarding guides, technical documentation, and personalized onboarding sessions. Extensive documentation for Kubernetes and GPU optimization is available at docs.sedai.io/get-started. Real-time assistance is available via a community Slack channel. Note: Support levels may vary by subscription tier; contact Sedai for details.

Introducing Sed: Your cloud & AI assistant

Meet Sed
Sedai Logo
Rancher Optimization

Multi-Cluster Control Without Multi-Cluster Guesswork

Rancher centralizes multi-cluster management, but not resource tuning. Sedai extends that same centralized control to continuous, autonomous rightsizing across every cluster Rancher manages.

Cloud Resource UI - Rancher.png
Background

On-Prem Kubernetes Wasn't Built to Tune Itself

Rightsizing self-managed clusters still relies on static estimates and manual effort — with no cloud elasticity to absorb the guesswork.

Static Sizing Wastes Capacity

Workloads run on worst-case CPU and memory requests that are set once and rarely revisited.

Manual Tuning Doesn't Scale

Rightsizing by hand is slow, guesswork-driven, and risky at the pace modern clusters change.

Toolchains Don't Optimize Themselves

HPA and GitOps controllers execute configs but can't tune themselves for cost or performance.

How We Help

Autonomous Workload Optimization

Sedai continuously analyzes utilization and performance to safely adjust pod and container resource allocations — using reinforcement learning to move workloads toward their optimal state.

GPU Optimization

For AI, ML, and HPC workloads, Sedai identifies idle GPU capacity and right-sizes allocations to match real demand, cutting a major cost driver.

Works With Your Existing Toolchain

Sedai doesn't replace HPA or your GitOps controller — it refines their configurations continuously, connecting via a lightweight agent or GitOps integration to fit your security needs.

Optimize On-Prem Kubernetes Like It's Cloud-Native.

Frequently Asked Questions