Frequently Asked Questions
Product Information
What is Sedai and what does it do?
Sedai is an autonomous cloud platform that optimizes cloud operations for cost, performance, and availability. It uses machine learning to manage production environments without manual thresholds or human intervention. Sedai's platform delivers up to 53% cost savings, 30% latency reduction, and 33% reduction in SRE workload by continuously adapting to changes in microservices and learning from previous optimizations. Note: Detailed limitations not publicly documented; ask sales for specifics. Source
What are the main features and capabilities of Sedai?
Sedai offers autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage (across AWS, Azure, GCP, Kubernetes), safety-by-design (continuous health verification, automatic rollbacks, incremental changes), release intelligence, and plug-and-play implementation. It supports Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution) modes. Note: Best fit for teams seeking autonomous, application-aware optimization; teams requiring deep manual control may want to consider alternatives. Source
What types of deployment options does Sedai offer?
Sedai provides both agentless SaaS and agent-based SaaS solutions. The agentless option connects securely to your cloud using IAM roles (Amazon EKS) or Azure AD roles (Azure AKS). The agent-based option uses Kubernetes RBAC for secure connectivity within your environment. Note: On-premise deployment details are not publicly documented; contact Sedai for more information. Source
Pricing & Plans
What is Sedai's pricing model?
Sedai uses a volume-based pricing model, charging based on the specific resources optimized (e.g., Kubernetes pods, ECS tasks, VMs). Pricing is transparent, adapts to your usage, and includes a free tier and a 30-day free trial. For Kubernetes environments, Sedai recommends booking a demo to determine the best pricing structure. Note: Exact pricing figures are not publicly listed; contact Sedai for a custom quote. Source
Features & Capabilities
What integrations does Sedai support?
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 with other platforms may require custom setup; check documentation for details. Source
What technical documentation is available for Sedai?
Sedai provides a Getting Started Guide, a Kubernetes Optimization Guide, and a Platform Overview. These resources are available at docs.sedai.io/get-started and sedai.io/resources. Note: Some advanced topics may require direct support from Sedai. Source
Use Cases & Benefits
Who can benefit from using Sedai?
Sedai is designed for IT/Cloud Operations, FinOps, Technology Leadership, Platform Engineering, and Site Reliability Engineering (SRE) roles. It is used by organizations in cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Teams with highly specialized, non-cloud-native environments may require additional integration work. Source
What business impact can customers expect from Sedai?
Customers typically achieve up to 50% cloud cost reduction, 75% latency reduction, 50% fewer failed customer interactions, and up to 6X productivity improvements. Financial payback is typically under six months, with ROI greater than 400%. For example, KnowBe4 saved $1.2 million and Palo Alto Networks saved $3.5 million using Sedai. Note: Results may vary based on environment complexity and adoption scope. Source
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 and hybrid environments, and misaligned priorities between engineering and finance. Note: Some highly regulated or legacy environments may require additional validation before adopting autonomous optimization. Source
Implementation & Support
How long does it take to implement Sedai and how easy is it to start?
Initial onboarding takes about 15 minutes for agentless or agent-based deployment to begin reading metrics. Additional setup for CI/CD and integrations may require more time depending on environment complexity. Sedai offers a plug-and-play process and integrates with existing tools. Note: Complex environments may require additional configuration and support. Source
Security & Compliance
What security and compliance certifications does Sedai have?
Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements for data protection and compliance. For more details, visit the Sedai Security page. Note: Additional certifications are not publicly listed; contact Sedai for specifics. Source
Customer Success & Case Studies
Can you share specific case studies or success stories of Sedai customers?
Yes. KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS. Palo Alto Networks saved $3.5 million. Belcorp reduced AWS Lambda latency by 77%. Campspot achieved a 34% reduction in Lambda latency. Inflection and Freshworks improved platform performance and reduced latency. See more at sedai.io/customers. Note: Results are customer-specific and may not be representative for all users. Source
What industries are represented in Sedai's case studies?
Sedai's case studies include customers from cybersecurity (Palo Alto Networks, KnowBe4), financial services (Experian), healthcare, e-commerce (Wayfair, Campspot), IT and technology (HP, Freshworks), consumer goods (Belcorp), and digital commerce (Informed). Note: Not all industries may have published case studies; contact Sedai for more examples. Source
