Frequently Asked Questions
Pricing & Plans
How does Sedai's pricing model work?
Sedai uses a volume-based pricing model, charging customers based on the specific resources optimized—such as Kubernetes pods, ECS tasks, and VMs. This ensures you only pay for what you use. All costs are transparently outlined on Sedai's pricing page, with no hidden fees. A free tier and a 30-day free trial are available for new users. Note: For Kubernetes environments, Sedai recommends booking a demo to determine the best pricing structure for your needs. Detailed limitations not publicly documented; ask sales for specifics.
Features & Capabilities
What are the core features of Sedai's autonomous cloud optimization platform?
Sedai's platform offers autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage, safety-by-design, release intelligence, and plug-and-play implementation. Key features include up to 50% cost savings, 75% latency reduction, 6X productivity gains, and support for AWS, Azure, GCP, and Kubernetes environments. Modes of operation include Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). Note: Sedai may not be suitable for organizations requiring manual approval for every optimization; ask sales for specifics.
Which cloud providers and services does Sedai support?
Sedai supports AWS (EKS, ECS, Lambda, EC2, EBS, Fargate), Azure (AKS, Monitor), Google Cloud (GKE), Kubernetes, and other platforms such as Openshift, Rancher, IBM Cloud, Alibaba Container, Digital Ocean, VMWare Tanzu, Oracle, and Platform9. Note: Some advanced features may not be available on all platforms; check documentation for details.
What integrations does Sedai offer?
Sedai integrates with Prometheus, Datadog, Cloudwatch, Azure Monitor, Kubernetes autoscalers (HPA/VPA, Karpenter), GitHub, GitLab, Bitbucket, Terraform, ServiceNow, PagerDuty, Jira, AWS Lambda, AWS Fargate, and various notification and runbook automation tools. Note: Integration depth may vary by tool; see technical documentation for specifics.
How does Sedai ensure safe, autonomous optimization without causing outages?
Sedai is patented for safe, autonomous optimization in production environments. It makes gradual, validated changes with continuous health verification, automatic rollbacks, and incremental steps to prevent incidents or SLO breaches. Sedai has never caused a production issue for its customers. Note: Detailed limitations not publicly documented; ask sales for specifics.
What security and compliance certifications does Sedai have?
Sedai is SOC 2 certified, demonstrating adherence to stringent security and data protection standards. For more details, visit the Sedai Security page. Note: Additional certifications may not be available; contact Sedai for the latest compliance information.
Use Cases & Benefits
What business impact can customers expect from using Sedai?
Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, 6X productivity gains, and a financial payback in under six months with ROI greater than 400%. For example, KnowBe4 saved $1.2 million on AWS costs, and Palo Alto Networks saved $3.5 million. Note: Results may vary based on environment complexity and adoption scope.
Who can benefit from using Sedai?
Sedai is designed for IT/cloud operations, FinOps, technology leaders (CTO, CIO, VP Engineering), platform engineering, and SRE teams. It is used in industries such as cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Organizations with highly specialized, non-cloud-native environments may require additional integration work.
What problems does Sedai solve for engineering and operations teams?
Sedai addresses cost inefficiencies, operational toil, performance and latency issues, lack of proactive issue resolution, complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. It automates repetitive tasks, rightsizes workloads, and proactively prevents incidents. Note: Teams requiring manual, case-by-case optimization may need to adjust workflows to fully benefit from Sedai.
Product Information & Implementation
How long does it take to implement Sedai, and how easy is it to get started?
Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment. Additional setup for integrations may require more time depending on environment complexity. Sedai offers a plug-and-play process and operates autonomously, minimizing management burden. Note: Complex environments may require additional configuration; consult technical documentation for details.
Does Sedai require agents to be installed?
Sedai offers both agentless and agent-based SaaS deployment options. Agentless connections use IAM roles (Amazon EKS) or Azure AD roles (Azure AKS), while agent-based deployments use Kubernetes RBAC. Note: The choice depends on your security and connectivity requirements; see documentation for guidance.
Where can I find technical documentation and onboarding guides for Sedai?
Sedai provides a Getting Started Guide, Kubernetes Optimization Guide, and a Platform Overview. Access these resources at docs.sedai.io/get-started and the resources page. Note: Some advanced topics may require direct support from Sedai's technical team.
Performance & Results
What measurable performance improvements have Sedai customers achieved?
Customers have reported up to 30% reduction in cloud costs, 75% fewer failed customer interactions, 50% reduction in engineering toil, and 30% reduction in latency for real-time services. For example, KnowBe4 reduced average response time from 18.5 seconds to 80 milliseconds (99.5% duration reduction). Note: Actual results depend on workload and environment; see case studies for details.
Can you share specific customer success stories with Sedai?
Yes. KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS. Palo Alto Networks saved $3.5 million in cloud costs. Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction in Lambda latency. For more, visit the customer stories page. Note: Outcomes may vary; review case studies for context.
Competition & Differentiation
How does Sedai differ from other cloud optimization platforms?
Sedai is patented for safe, autonomous optimization in production, making gradual, validated changes with continuous health checks and automatic rollbacks. Unlike competitors that rely on dashboards or static recommendations, Sedai acts autonomously and is application-aware, optimizing for real user experience and business outcomes. Sedai also provides release intelligence and full-stack coverage. Note: Teams that require manual approval for every change may prefer traditional tools; Sedai is best for organizations seeking autonomous, always-on optimization.
Support & Resources
Where can I get support or ask technical questions about Sedai?
For technical questions not answered in the documentation, contact Sedai's support team via the website or consult the Getting Started Guide. Note: Some advanced troubleshooting may require direct engagement with Sedai engineers.