Frequently Asked Questions

Product Overview & Core Purpose

What is Sedai and how does it help Site Reliability Engineers (SREs)?

Sedai is an autonomous cloud management platform designed to optimize cloud operations for cost, performance, and availability. For SREs, Sedai acts as an autopilot—handling repetitive, operational tasks like capacity tweaks and scaling policies, so SREs can focus on higher-value architectural work. Sedai's patented safety-first approach ensures all optimizations are gradual, continuously validated, and never cause incidents or breach SLOs. Learn more.

What is the primary purpose of Sedai's autonomous cloud management platform?

The primary purpose of Sedai's platform is to eliminate toil for engineers by automating routine cloud management tasks, enabling teams to focus on impactful work and innovation. Sedai creates the world’s first self-driving cloud, optimizing resources, reducing costs, and proactively resolving issues without manual intervention. Source.

How does Sedai's safety-first approach to autonomous optimization work?

Sedai is the only cloud optimization platform patented to make safe, autonomous optimizations in production. Unlike risky optimizers that make all-at-once changes, Sedai makes slow, gradual optimizations with continuous validation checks. Every change is constrained, validated, and reversible, ensuring no incidents or SLO breaches occur. Learn more.

Is Sedai intended to replace SREs?

No, Sedai is not a replacement for SREs. Instead, it serves as an autopilot, handling repetitive and operational tasks so SREs can focus on higher-order, architectural, and innovative work. This leads to greater job satisfaction and more impactful contributions from SREs. Source.

How does Sedai's always-learning, self-healing system benefit organizations?

Sedai's platform continually learns from interactions and outcomes, applying this knowledge to improve optimization and decision models over time. This always-learning, self-healing approach future-proofs organizations by reducing reliance on manual remediation and institutional knowledge, ensuring consistent, reliable operations. Source.

Features & Capabilities

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

Sedai offers autonomous optimization, proactive issue resolution, full-stack cloud coverage (compute, storage, data across AWS, Azure, GCP, Kubernetes), smart SLOs, release intelligence, plug-and-play implementation, multiple modes of operation (Datapilot, Copilot, Autopilot), enhanced productivity, and safety-by-design. Source.

How does Sedai proactively resolve issues before they impact users?

Sedai continuously monitors cloud environments, detects performance and availability issues, and autonomously resolves them before they affect users. This proactive approach reduces failed customer interactions by up to 50% and ensures seamless operations. Source.

What modes of operation does Sedai offer?

Sedai provides three modes of operation: Datapilot (observability), Copilot (one-click optimizations), and Autopilot (fully autonomous execution). This flexibility allows organizations to choose the level of automation that fits their needs. Source.

Does Sedai support integration with existing monitoring and DevOps tools?

Yes, Sedai integrates with a wide range of tools including Cloudwatch, Prometheus, Datadog, Azure Monitor, GitLab, GitHub, Bitbucket, Terraform, ServiceNow, Jira, Slack, Microsoft Teams, and various runbook automation platforms. Source.

How does Sedai ensure safe and auditable changes in cloud environments?

Sedai integrates with Infrastructure as Code (IaC), IT Service Management (ITSM), and compliance workflows to ensure all changes are safe, validated, and auditable. Every optimization is constrained, validated, and reversible, supporting enterprise-grade governance. Source.

What is Sedai's approach to learning and continuous improvement?

Sedai continuously learns from interactions and outcomes, updating its optimization and decision models to improve over time. This ensures the platform adapts to changing environments and delivers ongoing value. Source.

What is Release Intelligence in Sedai?

Release Intelligence is a feature in Sedai that tracks changes in cost, latency, and errors for each deployment. This helps improve release quality, minimize risks, and ensure smoother deployments. Source.

How does Sedai's plug-and-play implementation work?

Sedai offers a quick setup process—just 5 minutes for general use cases and up to 15 minutes for scenarios like AWS Lambda. The platform connects securely to cloud accounts using IAM, requiring no complex installations or agents. Source.

Use Cases & Benefits

What problems does Sedai solve for SREs and cloud teams?

Sedai addresses pain points such as operational toil, manual remediation, performance bottlenecks, cost inefficiencies, and the complexity of managing multi-cloud environments. By automating routine tasks and proactively resolving issues, Sedai enables SREs and cloud teams to focus on innovation and strategic initiatives. Source.

What business impact can customers expect from using Sedai?

Customers can expect up to 50% reduction in cloud costs, up to 75% reduction in latency, up to 6X productivity gains, and up to 50% fewer failed customer interactions. Real-world examples include Palo Alto Networks saving $3.5 million and KnowBe4 achieving 50% cost savings. Source.

Who can benefit from using Sedai?

Sedai is ideal for platform engineering, IT/cloud operations, technology leadership, site reliability engineering (SRE), and FinOps teams in organizations with significant cloud operations across industries such as cybersecurity, IT, financial services, healthcare, travel, and e-commerce. Source.

What are some real-world results achieved by Sedai customers?

KnowBe4 achieved up to 50% cost savings and saved $1.2 million on AWS bills. Palo Alto Networks saved $3.5 million, reduced Kubernetes costs by 46%, and saved 7,500 engineering hours. Belcorp reduced AWS Lambda latency by 77%. KnowBe4 case study, Palo Alto Networks case study.

What industries are represented in Sedai's case studies?

Industries include cybersecurity (Palo Alto Networks), IT (HP), financial services (Experian, CapitalOne Bank), security awareness training (KnowBe4), travel and hospitality (Expedia), healthcare (GSK), car rental (Avis), retail/e-commerce (Belcorp), SaaS (Freshworks), and digital commerce (Campspot). Source.

How does Sedai help with manual remediation and operational toil?

Sedai automates routine tasks such as capacity tweaks, scaling policies, and configuration management, reducing the need for manual remediation. This leads to up to 6X productivity gains and allows engineers to focus on higher-value work. Source.

How does Sedai address the risks associated with manual remediation?

Sedai eliminates the risks of manual remediation by automating corrective actions with a patented safety-first approach. All optimizations are gradual, validated, and reversible, ensuring no incidents or SLO breaches occur. Source.

Implementation & Support

How long does it take to implement Sedai?

For general use cases, Sedai can be set up in just 5 minutes. For specific scenarios like AWS Lambda, setup may take up to 15 minutes. More complex environments may require additional time. Source.

How easy is it to get started with Sedai?

Sedai offers a plug-and-play implementation with agentless integration via IAM. Customers can access detailed documentation, personalized onboarding sessions, and a dedicated Customer Success Manager for enterprise accounts. Source.

What support resources are available for Sedai users?

Sedai provides detailed technical documentation, a community Slack channel, email/phone support, and one-on-one onboarding calls with the engineering team. Documentation

Does Sedai offer a free trial?

Yes, Sedai offers a 30-day free trial, allowing users to experience the platform's value firsthand without financial commitment. Sign up here.

What feedback have customers given about Sedai's ease of use?

Customers highlight Sedai's quick setup (5–15 minutes), agentless integration, comprehensive onboarding support, and extensive resources as key factors in its ease of use. The 30-day free trial further emphasizes accessibility. Source.

Where can I find technical documentation for Sedai?

Technical documentation is available at docs.sedai.io/get-started, with additional resources, case studies, and guides at sedai.io/resources.

Security, Compliance & Trust

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 Security page.

How does Sedai ensure safe operations in production environments?

Sedai's patented safety-by-design approach ensures every optimization is constrained, validated, and reversible. Continuous health verification and automatic rollbacks guarantee safe operations, even in production. Source.

Competition & Differentiation

How does Sedai differ from other cloud optimization platforms?

Sedai is the only platform patented for safe, autonomous optimizations in production. It offers 100% autonomous optimization, proactive issue resolution, application-aware intelligence, full-stack coverage, release intelligence, and a plug-and-play setup. Unlike competitors, Sedai makes gradual, validated changes and never causes incidents or SLO breaches. Source.

What unique features set Sedai apart from competitors?

Unique features include patented safety-first autonomous optimization, proactive issue resolution, application-aware intelligence, release intelligence, and a 5-minute plug-and-play setup. Sedai's approach ensures safe, continuous improvement without manual intervention. Source.

How does Sedai address the needs of different user segments?

Sedai provides tailored benefits for platform engineers (automation, IaC consistency), IT/cloud ops (reduced ticket volume, safe automation), technology leaders (ROI, cost reduction), FinOps (cost efficiency alignment), and SREs (proactive issue resolution, reduced toil). Source.

Customer Proof & Success Stories

Who are some of Sedai's notable customers?

Notable customers include Palo Alto Networks, HP, Experian, KnowBe4, Expedia, CapitalOne Bank, GSK, and Avis. These organizations trust Sedai to optimize their cloud environments. Source.

Where can I find more customer success stories about Sedai?

Customer success stories and case studies are available at sedai.io/resources, including detailed examples from KnowBe4, Palo Alto Networks, Belcorp, Campspot, Inflection, and Freshworks.

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How Autonomous Cloud Management and Proactive Actions Can Help SREs

SM

Suresh Mathew

Founder & CEO

March 9, 2022

How Autonomous Cloud Management and Proactive Actions Can Help SREs

Featured

This is the fourth article in a four-part series about Autonomous Cloud Management.  

In this post, we’ll take a look at another piece of the microservices puzzle — proactive actions and the role they can and should play in keeping your business operations running smoothly.

The Risks of Manual Remediation

With so many microservices comes an increased level of complexity, making management a challenge for site reliability engineers (SREs). And with thousands (or tens of thousands) of microservices comes all of their interconnections and dependencies, which makes remediations challenging.

For example, suppose an SRE needs to manually remediate one single microservice. In that case, they must look at site traffic, service dependencies, load balancers, the service mesh and other factors to determine if it’s “safe” action — after all, the last thing they want to do is mess something up worse than the current issue! Then, they must ensure they follows the exact right steps in the exact right sequence to remediate the problem, well aware that any misstep could be devastating. And sometimes, the action is so critical that the SRE must perform it in less-than-ideal conditions, increasing risk to the system, the business, and your bottom line.

An Alternative, Future-Friendly Solution

If you read the above scenario and think, “There’s got to be a better way,” you’re absolutely right; given how microservices are proliferating and the way the industry is moving, it’s virtually impossible that companies will be able to continue manual remediation. It simply isn’t a logical, sustainable way to operate your company’s infrastructure. But what’s the alternative? Proactive Actions via a continuous autonomous management system.

To remain agile and future-proof your business against competitors and other threats, it’s imperative to support your SREs, providing them the tools to effectively optimize and maintain your vital systems — and to make this happen, you need to invest in autonomous. Autonomous cloud management technology constantly monitors and optimizes, automatically performing real-time actions The intelligent automation system continually learns by monitoring multiple data points across the complex web of microservices and service meshes, then applies that learning into intelligent decisions and corrective actions. And because all of this learning and action is automated in one smart system, your intelligence is always available; you don’t risk losing institutional knowledge should an SRE decide to leave.

An SRE Autopilot, Not Replacement

Is an autonomous platform a replacement for SREs? Not at all — in fact, they should be seen as an SRE autopilot. Because they handle many of the redundant, middle-of-the-night tasks that typically fall on SREs, an autonomous platform empowers SREs to focus on higher-order activities, allowing them to spend time on architectural tasks rather than operational tasks. SREs can be more innovative because they aren’t stuck on the maintenance side of things, and they tend to be happier because the platform is automatically handling critical but low-skill tasks.

An Always-Learning, Self-Healing System

By investing in an autonomous cloud management platform, you’ll be future-proofing your business, moving away from unsustainable manual remediation and toward an always-learning, self-healing system. You’ll also be making the most of your investment in your SREs, allowing them to focus on higher-value tasks.

Join our Slack community and we'll be happy to answer any questions you have about moving to autonomous.