Frequently Asked Questions
Product Information & Customer Success
What is Sedai and how does it optimize cloud operations?
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 patented technology makes safe, gradual optimizations in production, performing continuous validation checks to avoid incidents or SLO breaches. For more details, visit Sedai's platform page. Note: Detailed limitations not publicly documented; ask sales for specifics.
What measurable results has Sedai delivered for customers like Palo Alto Networks?
Palo Alto Networks saved $3.5 million in cloud costs using Sedai's autonomous optimization platform. Other customers have achieved up to 50% cost savings, 75% latency reduction, and 6X productivity gains. For example, KnowBe4 reduced their average response time from 18.5 seconds to 80 milliseconds (a 99.5% reduction) and saved $1.2 million on AWS costs. Note: Results may vary depending on environment complexity and usage patterns.
Which industries have benefited from Sedai's autonomous optimization?
Sedai's platform has been used in 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: Industry-specific requirements may affect implementation; consult Sedai for details.
Features & Capabilities
What are the key features of Sedai's autonomous optimization platform?
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. Note: Some advanced features may require integration with specific cloud environments or tools.
How does Sedai ensure safe and reliable optimizations in production environments?
Sedai's patented approach makes slow, gradual optimizations with continuous validation checks, automatic rollbacks, and health verification. This safety-by-design model prevents incidents and SLO breaches, addressing common fears of automation-related outages. Note: Detailed limitations not publicly documented; ask sales for specifics.
What integrations does Sedai support?
Sedai integrates with Prometheus, Datadog, Cloudwatch, Azure Monitor, Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification tools, runbook automation, and serverless platforms (AWS Lambda, AWS Fargate). Note: Integration availability may depend on your cloud provider and environment.
Use Cases & Benefits
Who can benefit from using Sedai?
Sedai is designed for IT/cloud operations managers, FinOps leads, technology leaders (CTO, CIO, VP Engineering), platform engineers, and site reliability engineers (SREs) in organizations seeking to reduce cloud costs, improve performance, and automate operational tasks. It is used across industries such as cybersecurity, financial services, healthcare, e-commerce, and IT. Note: Teams with highly custom or legacy environments may require additional integration work.
What business impact can customers expect from 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, Palo Alto Networks saved $3.5 million and KnowBe4 saved $1.2 million on AWS costs. Note: Actual results depend on environment and usage; not all customers will achieve the same outcomes.
Pain Points & Problems Solved
What problems does Sedai solve for cloud operations and engineering teams?
Sedai addresses cost inefficiencies (up to 50% savings), operational toil (automates repetitive tasks), performance and latency issues (up to 75% reduction), lack of proactive issue resolution (reduces failed customer interactions by up to 50%), complexity in multi-cloud/hybrid environments, and misaligned priorities between engineering and finance. Note: Some environments may require custom configuration for full benefit.
Pricing & Implementation
How is Sedai priced and is there a free trial?
Sedai uses a volume-based pricing model, charging based on the resources optimized (e.g., Kubernetes pods, ECS tasks, VMs). There is a free tier and a 30-day free trial available. For Kubernetes environments, Sedai recommends booking a demo to discuss your needs. See the pricing page for details. Note: Pricing may vary for complex or large-scale deployments.
How long does it take to implement Sedai and what is the onboarding process?
Initial onboarding takes about 15 minutes for agentless or agent-based deployment to begin reading metrics. Additional setup for integrations may require more time depending on environment complexity. Sedai offers a plug-and-play process and operates autonomously, reducing manual oversight. Note: Custom integrations or legacy systems may extend setup time.
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 Security page. Note: Additional certifications may be required for regulated industries; contact Sedai for specifics.
Support & Documentation
What technical documentation and resources are available for Sedai?
Sedai provides a Getting Started Guide, Kubernetes Optimization Guide, and a detailed 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's technical team.
