Frequently Asked Questions
Product Information & Safety
What is Sedai and how does it optimize cloud infrastructure?
Sedai is an autonomous cloud optimization platform that connects to your existing APM and monitoring tools to optimize infrastructure without risking application performance. It correlates infrastructure metrics (like CPU and memory) with application signals (latency, error rates, traffic) to build a complete model of each workload before making any changes. Sedai's patented approach ensures that every optimization decision is validated for safety, preventing SLO breaches and incidents. Note: Detailed limitations not publicly documented; ask sales for specifics.
How does Sedai ensure safe optimizations without causing incidents?
Sedai uses a safety-by-design approach that includes continuous health verification, automatic rollbacks, and incremental changes. Before any optimization is applied, Sedai checks application behavior (latency, error rates, traffic) to ensure changes will not negatively impact performance or reliability. If risk is detected, Sedai automatically reverses changes. This process prevents SLO violations and production incidents. Note: Best fit for teams prioritizing safety in automation; teams needing highly customized manual controls may want to consider alternatives.
Features & Capabilities
What are the key features of Sedai's platform?
Sedai offers autonomous cloud management, application-aware optimization, release intelligence, full-stack cloud coverage, and safety-by-design features. It connects to APM and monitoring tools, correlates infrastructure and application metrics, and supports multi-cloud environments (AWS, Azure, GCP, Kubernetes). Modes of operation include Datapilot, Copilot, and Autopilot, allowing organizations to adopt autonomy at their own pace. Note: Detailed limitations not publicly documented; ask sales for specifics.
Which monitoring and APM tools does Sedai integrate with?
Sedai integrates with 12+ APM and monitoring tools, including AppDynamics, Chronosphere, Datadog, Dynatrace, Elasticsearch, Prometheus, Google Cloud Monitoring, Grafana, Mimir, Netdata, New Relic, Splunk, VictoriaMetrics, and Wavefront. This allows Sedai to unify signals from multiple providers into a single workload model. Note: Integration with additional tools may require custom configuration; check documentation for specifics.
How does Sedai correlate infrastructure and application metrics?
Sedai combines infrastructure data (CPU, memory) with application-level signals (latency, error rates, traffic) from connected APM tools. This correlation enables Sedai to understand the true impact of resource changes on application behavior, avoiding optimizations that could cause performance regressions. Note: Effectiveness depends on the quality and coverage of integrated monitoring data.
What safety mechanisms does Sedai use to prevent SLO breaches?
Sedai performs continuous health verification before, during, and after every optimization. It automatically rolls back changes if risk is detected and applies incremental changes for real-time validation. Application performance signals are always part of the safety check, ensuring SLOs are not breached. Note: Teams requiring manual approval for every change may need to adjust Sedai's autonomy settings.
Use Cases & Benefits
What problems does Sedai solve for engineering and cloud teams?
Sedai addresses runaway cloud costs (up to 50% savings), performance bottlenecks (up to 75% latency reduction), operational toil (up to 6X productivity gains), and complexity in multi-cloud environments. It also proactively resolves issues before they impact users, reducing failed customer interactions by up to 70%. Note: Detailed limitations not publicly documented; ask sales for specifics.
Who can benefit from using Sedai?
Sedai is designed for IT/cloud operations managers, FinOps leads, technology leaders (CTO, CIO, VP Engineering), SREs, platform engineers, and organizations managing multi-cloud or hybrid environments. It is especially valuable for teams seeking to reduce cloud costs, improve performance, and automate operational tasks. Note: Best fit for organizations with established monitoring/APM stacks; teams without these may need to implement additional tooling.
What business impact can customers expect from Sedai?
Customers have achieved up to 50% reduction in cloud costs, up to 75% reduction in latency, up to 70% fewer failed customer interactions, and up to 6X productivity gains for engineering teams. For example, KnowBe4 reduced average response time from 18.5 seconds to 80 milliseconds (a 99.5% reduction), and Palo Alto Networks saved $3.5 million. Note: Results may vary based on environment and implementation; see case studies for details.
Can you share specific customer success stories with Sedai?
Yes. KnowBe4 achieved up to 50% cost savings and a 99.5% reduction in response time using Sedai. Palo Alto Networks saved $3.5 million through autonomous optimization. Belcorp reduced AWS Lambda latency by 77%, and Campspot achieved a 34% reduction in latency. For more, see Sedai's resources page. Note: Outcomes depend on customer environment and use case.
Implementation & Support
How long does it take to implement Sedai and how easy is it to start?
Initial setup can be completed in as little as 15 minutes using agentless or agent-based deployment. For AI Agent Optimization, implementation typically takes two to three weeks. Sedai integrates with existing tools and offers personalized onboarding, extensive documentation, and a community Slack channel for support. Note: Implementation time may vary for complex environments.
What technical documentation and support resources are available for Sedai?
Sedai provides comprehensive onboarding guides, Kubernetes and Databricks optimization documentation, and GPU optimization resources at docs.sedai.io/get-started. Support includes personalized onboarding, a community Slack channel, and extensive documentation. Note: Some advanced topics may require direct support from Sedai's team.
Pricing & Plans
What is Sedai's pricing model?
Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. Kubernetes-specific pricing is available, and all costs are transparently outlined on Sedai's pricing page. Discounts from cloud billing accounts (e.g., Reserved Instances, Savings Plans) are factored into cost and savings calculations. Note: For custom pricing, contact Sedai sales.
Security & Compliance
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: For additional certifications or compliance needs, contact Sedai directly.
