Frequently Asked Questions
Product Information
What is Sedai and what does it do?
Sedai is an autonomous cloud platform that optimizes your cloud resources to reduce costs, boost performance, and improve availability. It uses patented reinforcement learning to find the ideal configuration for every app and acts independently to execute optimizations in real time, all on autopilot. Sedai can start in Copilot mode (where you approve optimizations) and move to fully autonomous operations when you're ready. Learn more.
How does Sedai's autonomous optimization work?
Sedai uses AI and machine learning to analyze application performance and traffic patterns, then autonomously adjusts cloud configurations to optimize cost, performance, and availability. It acts directly in production environments, ensuring reliability and efficiency without manual intervention. Source.
What types of workloads and environments does Sedai support?
Sedai supports containers (e.g., Amazon EKS, Azure AKS, Google GKE, Kubernetes), VMs, serverless, storage, and data & streaming workloads. It can optimize across AWS, Azure, Google Cloud, IBM Cloud, Oracle Cloud, and more. Source.
What are the main products and services offered by Sedai?
Sedai offers autonomous optimization, proactive issue resolution, release intelligence, smart SLOs, comprehensive integrations, cloud cost optimization, and productivity enhancements. These services help businesses optimize cloud operations, improve performance, and reduce costs. Source.
How does Sedai ensure safety in autonomous cloud optimization?
Sedai holds eight U.S. patents on autonomous action in cloud environments, with a focus on safety. The platform validates every optimization step to ensure no incidents occur in production. Sedai claims zero incidents caused by its autonomous actions. Source.
What is the difference between Copilot and Autopilot modes in Sedai?
In Copilot mode, users approve optimizations with a click before Sedai executes them. In Autopilot mode, Sedai operates fully autonomously, making and executing optimizations without manual approval. This allows users to gradually adopt autonomous operations. Source.
What technical documentation is available for Sedai?
Sedai provides a comprehensive Getting Started Guide, Dataflow Optimization Documentation, and other technical resources to help users onboard and utilize the platform effectively. Access the documentation at docs.sedai.io.
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.
What cloud platforms and environments does Sedai integrate with?
Sedai integrates with Amazon AWS, Google Cloud, Microsoft Azure, IBM Cloud, Oracle Cloud, and more. It also supports Kubernetes, containers, VMs, serverless, and data/streaming workloads. See all integrations.
Features & Capabilities
What are Sedai's key features for cloud optimization?
Sedai offers autonomous optimization, proactive issue resolution, release intelligence, smart SLOs, comprehensive integrations, cloud cost optimization, and productivity enhancements. It uses AI/ML to optimize resources, reduce costs, and improve performance. Source.
Does Sedai support latency reporting and performance tracking?
Yes, Sedai tracks total latency gains realized in production at company, account, and service levels for ECS, Lambda, and Kubernetes. It also provides out-of-the-box performance gains using machine learning. Source.
What is Sedai's Smart SLOs feature?
Smart SLOs automatically set and monitor Service Level Objectives based on past performance, alerting users for breaches and helping teams meet reliability and latency goals. Learn more.
How does Sedai's Release Intelligence work?
Release Intelligence tracks the impact of new releases on latency, cost, and errors using scorecards, helping teams ensure quality and reduce deployment errors. Learn more.
What integrations does Sedai offer?
Sedai integrates with cloud platforms (AWS, Azure, Google Cloud, IBM Cloud, Oracle Cloud), notification providers (Slack, Teams, Webhook, Email), ITSMs (BMC, Jira, ServiceNow), monitoring/APM tools (AppDynamics, CloudWatch, DataDog, Dynatrace, New Relic, Prometheus), IaC/CI-CD tools (GitHub, GitLab, Bitbucket, Terraform), Kubernetes autoscalers, and data/streaming platforms (Google Dataflow, Databricks, Amazon RDS). See all integrations.
How does Sedai balance performance and cost optimization?
Sedai uses machine learning to analyze monitoring data and find configurations that deliver performance improvements while setting a cost cap on additional resources, ensuring optimal balance between cost and performance. Source.
Does Sedai provide out-of-the-box performance gains?
Yes, Sedai uses machine learning to analyze monitoring data and deliver out-of-the-box performance improvements without additional spending. Source.
How does Sedai help reduce manual toil for engineers?
Sedai automates repetitive tasks such as rightsizing resources and resolving issues, allowing engineers to focus on innovation. It can reduce manual toil by over 90%, as evidenced by Palo Alto Networks performing over 2 million autonomous remediations in one year. Case study.
Use Cases & Benefits
What problems does Sedai solve for cloud operations teams?
Sedai addresses high cloud costs, application latency, availability issues, manual toil, and release quality. It helps reduce costs, improve performance, increase uptime, and streamline operations. KnowBe4 case study.
Who can benefit from using Sedai?
Sedai is designed for Site Reliability Engineers, Platform Engineers, DevOps teams, Engineering Leaders, CTOs, and Architects. It serves organizations of all sizes across industries such as cybersecurity, SaaS, financial services, e-commerce, and more. Source.
What business impact can customers expect from Sedai?
Customers can expect cost savings (e.g., KnowBe4 achieved 50% savings, Palo Alto Networks saved $3.5M), productivity gains (over 90% reduction in manual toil), performance improvements (up to 77% latency reduction), availability enhancements, and a calculated ROI of 762% with a 3-month payback period. Solution briefs.
What are some real-world success stories with Sedai?
KnowBe4 achieved up to 50% cost savings in production, Palo Alto Networks saved $3.5M and reduced Kubernetes costs by 46%, Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% latency reduction. Customer stories.
What industries are represented in Sedai's case studies?
Sedai's case studies cover cybersecurity, information technology, information services, financial services, SaaS, supply chain solutions, insurance software, scientific research, e-commerce, and online travel. See all case studies.
Who are some of Sedai's notable customers?
Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Capital One, Flex, Guidewire, Oak Ridge National Laboratory, and Freshworks. Customer stories.
How does Sedai help with cloud cost optimization?
Sedai autonomously optimizes cloud resources, reducing overprovisioning and improving utilization. Customers like KnowBe4 achieved 50% savings, and Palo Alto Networks saved $3.5M. KnowBe4 case study.
How does Sedai improve application performance?
Sedai reduces latency and improves response times, as demonstrated by Belcorp's 77% reduction in AWS Lambda latency and Campspot's 34% reduction. Belcorp case study.
Competition & Comparison
How does Sedai differ from other cloud optimization tools?
Sedai is 100% autonomous, executing optimizations in real time, while competitors like StormForge and nOps provide only recommendations. Sedai also offers comprehensive optimization across multiple platforms, AI-driven insights, proactive issue resolution, and release intelligence. Comparison page.
What are Sedai's unique features compared to competitors?
Sedai's unique features include 100% autonomous optimization, proactive issue resolution, release intelligence, smart SLOs, comprehensive multi-cloud optimization, AI-driven insights, autonomous concurrency, and real-time execution. Comparison page.
Why should a customer choose Sedai over alternatives?
Sedai offers 100% autonomous optimization, comprehensive multi-cloud support, AI-driven insights, proactive issue resolution, and release intelligence. It delivers significant cost savings, productivity gains, and compliance with standards like SOC 2. Comparison table.
What advantages does Sedai offer for different user segments?
Enterprises benefit from cost savings and compliance, DevOps teams gain productivity by reducing manual toil, cloud engineers enjoy autonomous execution, and startups/SMBs appreciate quick setup and flexible pricing. Source.
Technical Requirements & Implementation
How long does it take to implement Sedai?
Sedai's plug-and-play implementation takes just 5 minutes for general setup and 15 minutes for specific use cases like AWS Lambda. This ensures minimal disruption and a fast time to value. Source.
What resources are needed to get started with Sedai?
You need cloud access (via IAM), a monitoring source, and for Kubernetes clusters, integration via Sedai's Smart Agent. Security team assistance may be required to provide sufficient access. Source.
What onboarding support does Sedai provide?
Sedai offers live onboarding assistance, comprehensive documentation, a Slack community for real-time support, and the option to schedule onboarding calls with the team. Source.
How easy is it to use Sedai?
Sedai is designed for ease of use, with quick setup (5-15 minutes), live onboarding support, detailed documentation, and a supportive Slack community. Customers have highlighted the platform's user-friendly design and fast onboarding. Source.