Frequently Asked Questions
Features & Capabilities
How does Sedai optimize Amazon EC2 instances differently from AWS Compute Optimizer?
Sedai goes beyond AWS Compute Optimizer by not only providing rightsizing recommendations but also autonomously acting on them in production. Sedai incorporates application performance signals—such as latency and availability—before making any changes, ensuring that rightsizing does not degrade service quality. Unlike static recommendations that require manual review, Sedai continuously profiles each instance's actual utilization and makes gradual, validated adjustments. This approach minimizes risk and prevents incidents or SLO breaches. Note: Sedai's autonomous actions are designed for safety, but teams with highly custom workloads should review recommendations before enabling full autonomy. Source
What is application-aware optimization and why is it important for EC2 rightsizing?
Application-aware optimization means Sedai considers not just infrastructure metrics like CPU and memory, but also application-level signals such as latency, burst requirements, and SLO boundaries. This prevents the common pitfall where rightsizing based on averages leads to degraded service during traffic spikes or for latency-sensitive workloads. By factoring in real application behavior, Sedai ensures that cost savings do not come at the expense of performance or reliability. Note: Application-aware optimization requires integration with relevant monitoring tools for best results. Source
How does Sedai ensure safety when rightsizing EC2 instances?
Sedai uses a patented safety-by-design approach: every optimization is validated before, during, and after execution. The platform performs continuous health verification, makes incremental changes, and automatically rolls back if any risk or performance degradation is detected. This minimizes the risk of outages or SLO breaches. Note: While Sedai's safety mechanisms are robust, detailed limitations for highly specialized workloads are not publicly documented; ask sales for specifics. Source
Does Sedai support both Linux and Windows EC2 instances?
Yes, Sedai supports optimization for both Linux and Windows EC2 instances. This allows organizations with mixed environments to benefit from autonomous rightsizing and purchasing optimization across their entire EC2 fleet. Note: Some advanced features may require additional configuration for Windows environments; consult documentation for details. Source
How does Sedai handle EC2 instances that are part of an Auto Scaling group?
Sedai is designed to work with EC2 instances in Auto Scaling groups by continuously analyzing utilization and application signals at the group level. It autonomously adjusts instance types and purchasing strategies to optimize cost and performance without disrupting scaling policies. Note: For highly customized scaling policies, manual review may be recommended before enabling full autonomy. Source
Will rightsizing EC2 instances with Sedai cause downtime?
Sedai's safety-by-design approach minimizes the risk of downtime during rightsizing. The platform performs continuous health checks and only makes incremental, validated changes. If any risk is detected, Sedai automatically rolls back to the previous state. However, for workloads with strict uptime requirements or custom dependencies, it is recommended to review the rollout plan with Sedai's support team. Source
How does Sedai's purchasing optimization for EC2 work?
Sedai continuously recommends and manages the lowest-cost purchasing mix across on-demand, reserved instances, and savings plans. As your workload evolves, Sedai updates purchasing strategies to ensure cost efficiency. Sedai can factor in your existing cloud billing discounts (e.g., Reserved Instances, Savings Plans) if you connect your billing account. Note: Sedai does not make purchases on your behalf without explicit authorization. Source
What kind of cost savings can I expect by using Sedai for EC2 optimization?
Sedai delivers up to 50% reduction in cloud costs by autonomously rightsizing EC2 workloads and eliminating cloud waste. These savings are achieved through continuous analysis, application-aware optimization, and purchasing strategy updates. Actual savings may vary based on your workload and current optimization level. Note: Maximum savings are typically realized in environments with significant over-provisioning. Source
What is the typical implementation time for Sedai EC2 optimization?
Initial setup for Sedai can be completed in as little as 15 minutes using agentless or agent-based deployment. This allows you to begin reading metrics and optimizing EC2 instances quickly. For advanced AI Agent Optimization, implementation typically takes two to three weeks. Note: Integration with complex environments may require additional configuration. Source
What integrations does Sedai support for EC2 optimization?
Sedai integrates with 12 APMs, including Prometheus, Datadog, AWS CloudWatch, Azure Monitor, and Google Cloud Monitoring. It also supports integration with ServiceNow, PagerDuty, Jira, GitHub, GitLab, Bitbucket, Terraform, and other CI/CD pipelines. These integrations enable Sedai to collect application and infrastructure signals for safe, autonomous optimization. Note: Some integrations may require additional setup steps. Source
Pricing & Plans
How is Sedai priced for EC2 optimization?
Sedai uses a resource-based pricing model, meaning you pay based on the resources optimized and the value delivered. All costs are transparently outlined, and discounts from your cloud billing account (such as Reserved Instances or Savings Plans) are factored into cost and savings calculations if you connect your billing account. For more details, visit the Sedai pricing page. Note: For specific pricing, contact Sedai sales. Source
Security & Compliance
Is Sedai SOC 2 certified?
Yes, Sedai is SOC 2 certified, demonstrating adherence to stringent security and compliance requirements for data protection. For more details, visit the Sedai Security page. Note: For additional certifications or compliance questions, contact Sedai directly. Source
Use Cases & Customer Success
What business impact have customers seen using Sedai for EC2 optimization?
Customers have achieved up to 50% reduction in cloud costs, up to 75% reduction in latency, and up to 6X productivity gains for engineering teams. For example, Palo Alto Networks saved $3.5 million using Sedai's autonomous optimization, and KnowBe4 reduced average response time from 18.5 seconds to 80 milliseconds (a 99.5% reduction). Note: Results may vary based on environment and workload. See case studies
Who are some customers using Sedai for cloud optimization?
Notable customers include Palo Alto Networks, KnowBe4, Belcorp, Campspot, Inflection, and Freshworks. These organizations have used Sedai to optimize cloud costs, improve performance, and enhance operational efficiency. For more details, visit the Sedai resources page. Note: Customer results may vary. Source
Technical Requirements & Support
What technical documentation is available for Sedai EC2 optimization?
Sedai provides comprehensive onboarding guides, technical documentation, and step-by-step instructions for setup and optimization. Resources include getting started guides, integration instructions, and best practices for EC2 and other cloud environments. Access the documentation at docs.sedai.io/get-started. Note: Some advanced topics may require direct support. Source
What support options are available for Sedai EC2 optimization?
Sedai offers personalized onboarding sessions, extensive documentation, and a community Slack channel for real-time assistance. Customers can also access a 30-day free trial and a free Proof of Value to evaluate the platform. Note: For enterprise support or custom SLAs, contact Sedai sales. Source
