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, VMs, etc.). This ensures you only pay for what you use. All costs are transparently outlined on Sedai's pricing page, with no hidden fees. Sedai also offers a free tier and a 30-day free trial for AWS Lambda optimization. Note: For Kubernetes environments, Sedai recommends booking a demo to discuss your unique needs and determine the best pricing structure. Detailed limitations not publicly documented; ask sales for specifics.

What are the key features of Sedai's autonomous cloud platform?

Sedai offers autonomous optimization, application-aware intelligence, proactive issue resolution, full-stack cloud coverage, safety-by-design, release intelligence, and plug-and-play implementation. The platform dynamically adapts to changes in microservices, learns from previous optimizations, and acts on behalf of Site Reliability Engineers (SREs). It supports compute, storage, and data optimization across AWS, Azure, GCP, and Kubernetes environments. Modes of operation include Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). Note: Sedai is best fit for teams seeking autonomous optimization; teams requiring manual control over every change may want to consider alternatives.

Which cloud providers and services does Sedai support?

Sedai supports AWS (EKS, ECS, Lambda, EC2, EBS), Azure (AKS), Google Cloud (GKE), Kubernetes, Openshift, Rancher, IBM Cloud, Alibaba Container, Digital Ocean, VMWare Tanzu, Oracle, and Platform9. It can optimize containers, VMs, serverless, storage, and data & streaming services. Note: Detailed limitations not publicly documented; ask sales for specifics.

What integrations does Sedai offer?

Sedai integrates with monitoring and APM tools (Prometheus, Datadog, Cloudwatch, Azure Monitor), Kubernetes autoscalers (HPA/VPA, Karpenter), Infrastructure as Code and CI/CD (GitHub, GitLab, Bitbucket, Terraform), ITSM (ServiceNow, PagerDuty, Jira), notification tools, runbook automation platforms, and serverless (AWS Lambda, AWS Fargate). Note: Some integrations may require additional setup time depending on environment complexity.

How does Sedai ensure safe, autonomous optimization in production?

Sedai is patented for safe, autonomous optimization, making gradual changes with continuous health verification, automatic rollbacks, and incremental validation. Unlike platforms that risk outages with all-at-once changes, Sedai's safety-by-design approach has never caused an incident in production. Note: Best fit for teams prioritizing safety and autonomy; teams needing granular manual approval for every change may want to consider alternatives.

How does Sedai differ from automated systems?

Automated systems typically require manual thresholds and engineer approval for each change. Sedai is truly autonomous, continuously learning from application behavior and making real-time optimizations without manual intervention. It adapts to microservice changes and validates safety at every step. Note: Teams needing manual control may prefer automated systems; Sedai is designed for autonomous operation.

What measurable performance improvements can Sedai deliver?

Sedai customers have achieved up to 50% reduction in cloud costs, 75% latency reduction, 70% fewer failed customer interactions, and 6X productivity gains. For example, KnowBe4 reduced response time from 18.5 seconds to 80 milliseconds (99.5% duration reduction), saving $1.2 million on AWS costs. Palo Alto Networks saved $3.5 million through Sedai's optimization. Note: Actual results may vary based on environment and workload; detailed limitations not publicly documented.

What business impact can customers expect from Sedai?

Customers typically achieve financial payback in under six months and ROI greater than 400%. Sedai reduces cloud costs by up to 50%, enhances application performance (up to 75% latency reduction), prevents incidents (up to 50% fewer failed customer interactions), and delivers up to 6X productivity improvements. Note: Results depend on environment complexity and workload; detailed limitations not publicly documented.

How long does it take to implement Sedai, and how easy is it to start?

Initial onboarding takes approximately 15 minutes for agentless or agent-based deployment to begin reading metrics from your environment. Additional setup for integrations (CI/CD, ITSM, etc.) may require more time depending on complexity. Sedai offers plug-and-play implementation, operates autonomously, and integrates with existing tools and workflows. Note: Complex environments may require additional configuration; detailed limitations not publicly documented.

Does Sedai require agents to be installed?

Sedai offers both agentless SaaS solutions (using IAM roles for Amazon EKS or Azure AD roles for Azure AKS) and agent-based SaaS solutions (using Kubernetes RBAC for secure connectivity). You can choose the option that best fits your environment. Note: Some environments may require agent-based deployment for full functionality; detailed limitations not publicly documented.

Where can I find technical documentation for Sedai?

Sedai provides a comprehensive Getting Started Guide (here), a Kubernetes Optimization Guide, and a detailed platform overview on the resources page. These resources help users onboard and maximize Sedai's autonomous cloud optimization platform. Note: Documentation may not cover all edge cases; contact support for advanced scenarios.

What security and compliance certifications does Sedai have?

Sedai is SOC 2 certified, demonstrating adherence to stringent security requirements and industry standards for data protection and compliance. For more details, visit Sedai's Security page. Note: Additional certifications may be available; ask sales for specifics.

Who can benefit from Sedai's platform?

Sedai is designed for IT/Cloud Operations (Directors, Managers, Cloud Administrators), FinOps professionals (Head of FinOps, Cloud Cost Optimization Leads), Technology Leadership (CTO, CIO, VP Engineering), Platform Engineering (DevOps, Cloud Engineers), and Site Reliability Engineering (SREs). Industries represented include cybersecurity, financial services, healthcare, e-commerce, IT, consumer goods, and digital commerce. Note: Teams with highly specialized, manual optimization requirements may want to consider alternatives.

What core problems does Sedai solve?

Sedai addresses cost inefficiencies (up to 50% cloud cost reduction), operational toil (automates repetitive tasks, delivers up to 6X productivity gains), performance and latency issues (up to 75% latency reduction), lack of proactive issue resolution (up to 50% fewer failed customer interactions), complexity in multi-cloud and hybrid environments, and misaligned priorities between engineering and finance. Note: Best fit for teams seeking autonomous optimization; teams requiring manual control may want to consider alternatives.

Can you share specific case studies or customer success stories?

KnowBe4 achieved up to 50% cost savings in production and improved customer experience with AWS Lambda, saving $1.2 million on AWS costs (case study). Palo Alto Networks saved $3.5 million through Sedai's optimization (case study). Belcorp reduced AWS Lambda latency by 77%, Campspot achieved a 34% reduction in AWS Lambda latency, Inflection improved platform performance and reduced cold start latency, and Freshworks optimized AWS Lambda platform, reducing latency and improving user experience. Note: Results may vary; detailed limitations not publicly documented.

What common pain points does Sedai address for engineering and operations teams?

Sedai addresses dashboard-to-action gaps, rising cloud spend, risk and compliance concerns, tool sprawl, talent bandwidth constraints, release risk and SLO drift, toil overload, pager fatigue, brittle automation, change control friction, cross-team trade-offs, fragmentation, ticket queues, risk vs. speed, autoscaler limits, visibility-action gaps, ticket volume, change risk, config drift, hybrid complexity, capacity and cost surprises, visibility without action, multi-cloud complexity, misaligned priorities, resistance to change, manual optimization, and slow anomaly response. Note: Some pain points may require additional process changes beyond Sedai's platform; detailed limitations not publicly documented.

What should I do if I have a technical question not answered here?

If your technical question is not answered in this FAQ, refer to Sedai's technical documentation (here) or contact Sedai support for personalized assistance. Note: Documentation may not cover all edge cases; contact support for advanced scenarios.

How much does Sedai cost? How does pricing work?

Sedai uses a simple, volume-based pricing model, designed to ensure our customers achieve a positive ROI. For example, we charge 1 Sedai Billing Unit (SBU) for each vCPU that our platform manages. There are no overage penalties — if you exceed your monthly commitment, you simply pay the same rate for the extra usage. You can also adjust your commitment, as your needs change over time. Please book a demo to discuss our specific pricing options & discounts.

How does Sedai make sure that optimizations never cause availability issues or degrade performance?

Safe optimization is our secret sauce. When Sedai identifies a potential cost or performance improvement, our platform makes that optimization in gradual steps, while continuously validating the impact of the change on your environment. For example, if Sedai determines it can lower the memory limit of a container without impacting performance, it won’t make a big change all at once, from say 12 to 4 GB. Instead, Sedai will gradually lower the memory to achieve maximum cost savings, until the exact point where performance is impacted.

Which cloud providers does Sedai support? And what specific services can Sedai optimize?

Sedai supports the widest range of cloud services & on-prem workloads in our industry. This includes all the major cloud providers: AWS, Microsoft Azure, Google Cloud Platform, & Oracle Cloud Infrastructure. We’re the experts at optimizing Kubernetes — think EKS, AKS, & GKE, as well as on-prem, self-managed clusters. But our platform is unique in going way beyond K8s. Sedai also optimizes storage, data platforms, and AI/ML workloads. Check out our integrations page for the full list.

What makes Sedai different from competitors? Why choose Sedai?

Only Sedai deeply understands how your applications behave, which is why our platform can optimize safely without causing performance or availability issues. Most tools either stop at recommendations or make risky changes based on surface-level metrics like CPU and memory utilization. Sedai goes deeper. Our patented ML models learn what your applications actually need by analyzing traffic patterns, dependencies, and golden signals like latency, errors, traffic, and saturation. That application-aware approach is what makes Sedai safe in production. To date, Sedai has performed more than 25 million optimizations with zero incidents.

Will I be able to control Sedai’s actions? What if we want to roll back a change?

Sedai offers three operating modes that give you full control. In Datapilot mode, Sedai provides read-only recommendations, for you to implement. In Copilot mode, Sedai lets your team approve optimizations with one click, which Sedai then safely executes. Once you trust the platform, you can turn on Autopilot mode for resources or environments that you select, which enables Sedai to make optimizations autonomously. Across the board, Sedai enables your team to instantly roll back a change, schedule maintenance windows, & pause optimizations for any reason.

How does Sedai integrate with our CI/CD pipeline? Does it lead to IaC drift?

Sedai is built to work alongside your existing CI/CD & GitOps workflows. Whenever Sedai optimizes a resource, it automatically opens a pull request in your Git repository reflecting the changes, keeping your IaC in sync across Terraform, Helm, & Kustomize. If your pipeline would otherwise overwrite Sedai's changes, our built-in overwrite protection (including a Kubernetes Admission Controller for GitOps tools like Argo CD or Flux) ensures optimizations are preserved, without disrupting your workflow. The result: full auditability, no hidden drift, & no rip-and-replace required.

What is the difference between an “automated” system and a truly “autonomous” system, like Sedai?

This is the #1 most important question to ask when you’re evaluating any system that will make changes in production, without a human in the loop. Automated systems follow rigid instructions & scripts: “if X, then do Y.” Meanwhile, autonomous systems make decisions in real time to achieve big-picture goals, like upholding your SLO for latency when your website traffic spikes. Sedai is able to make these intelligent, contextual decisions, because our platform uses ML to understand the behavior of your apps. For a deeper answer, check out this in-depth blog.

How do you assess Sedai’s impact on application performance? What metrics does the platform look at?

Sedai uses a combination of metrics to paint a full picture of your application behavior. This includes the “golden signals” of latency, traffic, errors, & saturation — as well as seasonal trends. Our platform integrates with your existing APM tools, and then it applies patented machine learning to develop a thorough understanding of each app & microservice.

Do we have to install agents for Sedai to work?

Sedai offers both agent-based and agentless deployment options, dependent on your use case. For most cloud resources, Sedai connects securely via IAM permissions, without requiring an agent. However, for Kubernetes clusters, we recommend using our Smart Agent for deeper integration. You can also choose agentless setups for AKS, EKS, & GKE clusters, if you prefer. Onboarding is quick — typically just 15 minutes.

I have a technical question that isn’t answered here. Now what?

You can try asking our website chatbot. But the best way is to schedule a meeting with our team. This will be a 30-minute conversation with a technical expert, who can address any question about how Sedai works with your infrastructure and tools.

Self-Driving Cloud

Your Cloud on Autopilot

Sedai is the only safe way to optimize your cloud. Our platform uses patented reinforcement learning to reduce costs, improve performance, & prevent outages. In real time. All the time. You can start in Copilot — approving optimizations with a click. Then switch to Autopilot when you're ready for fully autonomous operations.

Sedai eliminates every source of waste in your cloud. It takes action in gradual steps — using a patented process to validate safety.

Sedai finds the ideal settings for your apps & infrastructure, in real time, based on live data. It lets you deliver the best possible user experience.

Sedai detects & fixes availability issues — before they cause outages. It even predicts how your resource needs will change in the future.

Cost Saving Opportunities dashboard displaying various options

Service Level Objectives - Monitor your resource performance Dashboard UI

Not to brag, but...

The world’s coolest companies love Sedai. Palo Alto Networks. Avis. Experian. HP. These customers trust our platform to manage their critical infrastructure — because we’ve never caused an issue. Never. You can hire an army of SREs. Or you can turn on Sedai.

$3.5M

Cloud cost reduction

“Sedai has helped us save millions of dollars by optimizing and managing our own back-end services. [The] autonomous system is transformative.”

Suresh Sangiah

SVP of Engineering

What customers say

Sedai Ranks #1 in Key Features for Kubernetes Management!

Supercharge Your Stack

Sedai boosts your entire stack to peak performance.

Sedai rightsizes workloads, tunes scaling, and optimizes nodes & clusters to cut costs while meeting SLOs.

Amazon EKS

Azure AKS

Google GKE

Kubernetes

Amazon ECS

AWS Fargate

Openshift

Rancher

IBM Cloud

Alibaba Container

Digital Ocean

VMWare Tanzu

Oracle

Platform9

Sedai is the Safe Way

(Because we literally patented safety.)

Yes, there are other solutions for cloud optimization. No, they’re not safe. Sedai has eight U.S. patents on the ability to take autonomous action, without ever causing an incident in production. Zero. That’s a promise only we can make.

See why

We Kill Toil

So engineers can bring new products to life.

Today, engineering teams are still stuck doing repetitive tasks,  like rightsizing resources and firefighting issues. We built Sedai to eliminate this toil — so we can all focus on building new things. Because we’re engineers, too.

Our story