Frequently Asked Questions
Product Features & Capabilities
How does Sedai optimize Google Persistent Disks?
Sedai continuously analyzes I/O patterns, throughput, and attachment state for each Google Persistent Disk. Using machine learning, it builds a performance profile and identifies disks that are over-provisioned or unattached. Depending on the selected mode (Datapilot, Copilot, or Autopilot), Sedai can recommend, assist, or autonomously apply the right fix, such as resizing disks or deleting unattached disks. Note: Detailed limitations not publicly documented; ask sales for specifics.
What are the differences between Datapilot, Copilot, and Autopilot modes for Persistent Disk optimization?
In Datapilot and Copilot modes, Sedai surfaces recommendations for over-provisioned or unattached disks, allowing users to review and approve actions. In Autopilot mode, Sedai autonomously applies optimizations, such as resizing or deleting disks, during maintenance windows. All actions in Autopilot are validated for system health, and automatic rollbacks are performed if any issues are detected. Note: Autopilot mode requires trust in Sedai's safety mechanisms; teams needing manual approval for every change may prefer Datapilot or Copilot.
What kind of data does Sedai use to evaluate Google Persistent Disks?
Sedai collects IOPS, throughput, and configuration data for every disk. It also monitors the attachment state to identify disks that are no longer in use. This data is used to build a machine learning-driven performance profile, enabling accurate recommendations or autonomous actions. Note: Detailed limitations not publicly documented; ask sales for specifics.
What types of disk changes might Sedai recommend or apply?
Sedai may recommend or autonomously apply changes such as resizing over-provisioned disks to better match actual I/O usage, or deleting unattached disks that continue to incur costs. All actions are validated for safety and can be rolled back automatically if issues are detected. Note: Not all disk types or configurations may be eligible for autonomous changes; consult documentation for specifics.
How does Sedai ensure safe execution of disk optimizations in Autopilot mode?
In Autopilot mode, Sedai applies changes during maintenance windows, continuously monitors system health before, during, and after each action, and automatically rolls back any change if risk or performance degradation is detected. This safety-by-design approach minimizes the risk of outages or SLO breaches. Note: Teams with highly custom disk configurations should review safety documentation before enabling Autopilot.
Pricing & Implementation
How is Sedai priced for Google Persistent Disk optimization?
Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. For Kubernetes environments, tailored pricing is available. All costs are transparently outlined on Sedai's pricing page, and discounts from connected cloud billing accounts are factored into calculations. Note: For specific pricing details for Google Persistent Disk optimization, contact Sedai sales or request a demo.
How long does it take to implement Sedai for Google Persistent Disk optimization?
Initial setup for Sedai can be completed in as little as 15 minutes using agentless or agent-based deployment. For advanced use cases, such as AI Agent Optimization, implementation typically takes two to three weeks. Note: Implementation time may vary based on environment complexity and integration requirements.
Business Impact & Use Cases
What business impact can I expect from using Sedai for Google Persistent Disk optimization?
Sedai can deliver up to 50% reduction in cloud costs by rightsizing disk resources and eliminating waste from unattached disks. It also automates repetitive tasks, freeing engineering teams to focus on innovation. Note: Actual savings and productivity gains depend on your environment and usage patterns.
Who can benefit from Sedai's Google Persistent Disk optimization?
Sedai's disk optimization is valuable for IT/cloud operations managers, FinOps leads, SREs, platform engineers, and technology leaders managing Google Cloud environments. It is especially useful for organizations seeking to reduce cloud waste, improve cost efficiency, and automate disk management. Note: Teams with highly specialized storage requirements should review product fit with Sedai's technical team.
Security & Compliance
Is Sedai SOC 2 certified?
Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance standards for data protection. For more details, visit the Sedai Security page. Note: For additional certifications or compliance requirements, contact Sedai directly.
Technical Documentation & Support
Where can I find technical documentation for Sedai's Google Persistent Disk optimization?
Comprehensive onboarding guides and technical documentation are available at docs.sedai.io/get-started. These resources cover setup, optimization, and best practices for Google Cloud environments. Note: Some advanced topics may require direct support from Sedai's technical team.
