Frequently Asked Questions
Product Information & Safety
What is Sedai's Google Compute Engine Optimization and how does it work?
Sedai's Google Compute Engine Optimization is an autonomous platform that continuously analyzes real usage across your GCE fleet and safely resizes instances, switches machine families, and cleans up wasted storage. It eliminates manual effort and outage risk by making gradual, validated optimizations, including VM rightsizing, cross-family moves (e.g., N2 to E2), and persistent disk optimization. Every change is validated against system health, with automatic rollback if risk is detected. Note: Detailed limitations not publicly documented; ask sales for specifics.
How does Sedai ensure safe optimizations without causing outages?
Sedai runs every change through defined maintenance windows and validates system health afterward. If any risk is detected, it automatically rolls back the change. Optimizations are incremental, allowing real-time validation and minimizing the risk of outages or SLO breaches. Note: Best fit for teams prioritizing safety; teams needing full manual control may want to consider alternatives.
How does Sedai decide between resizing within the same machine family or switching to a different family?
Sedai analyzes real usage patterns and recommends either a smaller instance within the same family or a cross-family move (such as N2 to E2) based on workload characteristics. For workloads with low average but spiky CPU demand, Sedai may suggest burstable types. Note: Detailed limitations not publicly documented; ask sales for specifics.
Will rightsizing hurt performance during occasional CPU spikes?
Sedai considers workload patterns, including occasional CPU spikes, when recommending rightsizing. It may suggest burstable types for workloads with spiky demand to ensure performance is not compromised. Note: Teams with highly unpredictable workloads should review recommendations before implementation.
Does Sedai clean up orphaned disks automatically, or just flag them?
Sedai automatically identifies orphaned disks left behind after VM deletion and can clean them up to eliminate wasted storage costs. Note: Teams with custom disk retention policies should review flagged disks before deletion.
Does Sedai's optimization work for VMs behind a load balancer?
Sedai's optimization is designed to work across your GCE fleet, including VMs behind a load balancer. It analyzes real usage and safely resizes instances without manual intervention. Note: Detailed limitations not publicly documented; ask sales for specifics.
Features & Capabilities
What features does Sedai offer for Google Compute Engine optimization?
Sedai offers VM rightsizing, machine family optimization, persistent disk optimization, orphaned disk cleanup, and safe, validated execution with automatic rollback. It continuously analyzes real usage and makes incremental changes validated against system health. Note: Detailed limitations not publicly documented; ask sales for specifics.
What integrations are available with Sedai's platform?
Sedai integrates with monitoring and APM tools (including Prometheus, Datadog, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring), Kubernetes autoscalers (HPA/VPA, Karpenter), CI/CD pipelines (GitHub, GitLab, Bitbucket, Terraform), ITSM tools (ServiceNow, PagerDuty, Jira), notification platforms, and cloud providers (AWS, Azure, GCP). Note: Some integrations may require additional configuration; see documentation for details.
Pricing & Plans
What is Sedai's pricing model for Google Compute Engine optimization?
Sedai uses a resource-based pricing model determined by the resources optimized and the value delivered. All costs are transparently outlined on Sedai's pricing page, with no hidden fees. Discounts from connected cloud billing accounts (e.g., Reserved Instances or Savings Plans) are factored into cost and savings calculations. Note: For Kubernetes-specific pricing, see Sedai's Kubernetes optimization page. Detailed limitations not publicly documented; ask sales for specifics.
Implementation & Ease of Use
How long does it take to implement Sedai for Google Compute Engine?
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. Note: Complex environments may require additional configuration time.
How easy is it to start using Sedai?
Sedai offers quick onboarding, with initial setup taking as little as 15 minutes. It integrates with existing tools and workflows, operates autonomously to minimize management burden, and provides comprehensive support including personalized onboarding, extensive documentation, and a community Slack channel. Note: Teams with highly customized environments should review onboarding requirements.
Business Impact & Performance
What business impact can customers expect from Sedai's Google Compute Engine optimization?
Customers can achieve up to 50% reduction in cloud costs, enhance application performance by reducing latency by up to 75%, and reduce failed customer interactions by up to 70%. Sedai automates repetitive tasks, delivering up to 6X productivity gains for engineering teams. Note: Actual results may vary based on environment and workload characteristics.
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: Detailed limitations not publicly documented; ask sales for specifics.
Customer Proof & Case Studies
Can you share specific case studies or success stories of customers using Sedai?
KnowBe4 achieved up to 50% cost savings and reduced response time from 18.5 seconds to 80 milliseconds (99.5% duration reduction). Palo Alto Networks saved $3.5 million through Sedai's optimization. Belcorp reduced AWS Lambda latency by 77%. Campspot achieved a 34% reduction in AWS Lambda latency. For more, visit Sedai's resources page. Note: Results are specific to each customer and environment.
Technical Documentation & Support
Where can I find technical documentation for Sedai's Google Compute Engine optimization?
Comprehensive onboarding resources and technical guides are available at Sedai's documentation portal. These include getting started guides, optimization instructions, and platform-specific documentation. Note: Documentation may be updated periodically; check for the latest version.
