Frequently Asked Questions
Product Information
What is Sedai and how does it help companies like HP manage cloud at scale?
Sedai is an autonomous cloud management platform designed to optimize cloud operations for cost, performance, and availability. By leveraging machine learning, Sedai manages production environments without manual thresholds or human intervention. For companies like HP building the future of cloud-based work, Sedai addresses challenges such as cost inefficiencies, operational toil, and performance issues by automating optimization and proactively resolving incidents. Note: Sedai is best suited for organizations seeking measurable improvements in cloud efficiency and reliability; teams requiring highly customized manual controls may need to evaluate fit. Source
What core problems does Sedai solve for large enterprises?
Sedai addresses cost inefficiencies (reducing cloud costs by up to 50%), operational toil (automating repetitive tasks and delivering up to 6X productivity gains), performance and latency issues (reducing latency by up to 75%), and proactively resolves issues before they impact users. It also helps manage complexity in multi-cloud and hybrid environments and aligns engineering with financial goals. Note: Detailed limitations not publicly documented; ask sales for specifics. Source
Features & Capabilities
What are the key features of Sedai's autonomous cloud platform?
Sedai offers autonomous optimization (real-time, safe, and gradual changes with continuous validation), application-aware intelligence (optimizing based on traffic patterns and dependencies), proactive issue resolution, full-stack cloud coverage (compute, storage, data, and AI/ML workloads across AWS, Azure, GCP, and Kubernetes), safety-by-design (automatic rollbacks, health verification), release intelligence (tracking cost, latency, and errors per deployment), and plug-and-play implementation (setup in 5–15 minutes). Note: Sedai's autonomous actions may not be suitable for teams requiring manual approval for every change. Source
What integrations does Sedai support?
Sedai integrates with monitoring and APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), IaC and CI/CD tools (GitHub, GitLab, Bitbucket, Terraform), ITSM platforms (ServiceNow, PagerDuty, Jira), notification systems, runbook automation, and serverless platforms (AWS Lambda, AWS Fargate). Note: Some integrations may require additional setup time depending on environment complexity. Source
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 engineering teams, and site reliability engineers (SREs) in industries such as cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Organizations with highly specialized or legacy environments may require additional evaluation for compatibility. Source
What measurable business impact can Sedai deliver?
Sedai customers have achieved up to 50% cloud cost reduction, 75% latency reduction, 6X productivity gains, and a typical ROI greater than 400% with payback in under six months. 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 and implementation scope. KnowBe4 Case Study, Palo Alto Networks Case Study
Implementation & Technical Requirements
How long does it take to implement Sedai and what is the onboarding process?
Initial onboarding for Sedai takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics from your environment. Additional setup for integrations may require more time depending on complexity. Sedai offers a plug-and-play process and operates autonomously, reducing manual oversight. Note: Complex environments may require additional configuration. Getting Started Guide
What technical documentation is available for Sedai?
Sedai provides a Getting Started Guide, a Kubernetes Optimization Guide, and a Platform Overview, all available on the Sedai documentation and resources pages. These resources cover onboarding, optimization strategies, and platform capabilities. Note: Some advanced topics may require direct support from Sedai's technical team. Documentation, Resources
Pricing & Plans
How is Sedai priced and are there free trial options?
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. All costs are transparently listed on the Sedai pricing page, and a Proof of Value is offered. Note: For Kubernetes environments, a demo is recommended to determine the best pricing structure. Pricing
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 may be required for regulated industries; contact Sedai for specifics. Security
Customer Proof & Success Stories
Can you share examples of customers who have succeeded with Sedai?
Notable customers include KnowBe4 (saved $1.2 million on AWS and achieved 50% cost savings), Palo Alto Networks (saved $3.5 million), Belcorp (reduced AWS Lambda latency by 77%), and Campspot (achieved 34% latency reduction). These case studies are available on the Sedai website. Note: Outcomes depend on environment and implementation scope. KnowBe4, Palo Alto Networks
