Frequently Asked Questions
Product Overview & Use Cases
What is Sedai's Azure Virtual Machines Optimization and how does it work?
Sedai's Azure Virtual Machines Optimization is an autonomous cloud platform feature that continuously analyzes utilization patterns across your Azure VM fleet and right-sizes VMs (in-family, cross-family, and burstable) to match actual demand. It also optimizes purchasing by recommending the best mix of on-demand, reserved instances, and savings plans. This helps reduce cloud waste and ensures your fleet is always aligned with real workload requirements. Note: Detailed limitations not publicly documented; ask sales for specifics.
Who can benefit from Sedai's Azure VM Optimization?
Sedai's Azure VM Optimization is best suited for organizations running large or dynamic Azure VM fleets, including IT/cloud operations managers, FinOps leads, technology leaders, SREs, and platform engineers. It is especially valuable for teams seeking to reduce cloud costs, automate repetitive rightsizing tasks, and improve operational efficiency. Best fit for teams managing hundreds or thousands of VMs; organizations with highly specialized or static workloads may require a custom assessment.
Features & Capabilities
Does Sedai support all Azure VM families, including B-series burstable instances?
Yes, Sedai supports all major Azure VM families, including general-purpose, compute-optimized, memory-optimized, and burstable B-series instances. The platform analyzes workload profiles to recommend the best family and size for each VM, including burstable options where appropriate. Note: For highly specialized VM types, contact Sedai for compatibility details.
What is the difference between in-family and cross-family recommendations?
In-family recommendations adjust the VM size within the same Azure VM family (e.g., resizing from Standard_D4s_v3 to Standard_D2s_v3), maintaining consistency in hardware and performance characteristics. Cross-family recommendations suggest moving a VM to a different family (e.g., from a general-purpose to a memory-optimized instance) when the workload profile indicates a better fit. This approach ensures both cost efficiency and optimal performance. Note: Cross-family moves may require additional validation for application compatibility.
Does Sedai only rightsize instances, or does it also help with purchasing optimization?
Sedai goes beyond rightsizing by also providing purchasing optimization. It recommends the best mix of on-demand, reserved instances, and savings plans, layered on top of rightsizing, to minimize total compute spend. This dual approach addresses both resource utilization and cost efficiency. Note: Purchasing recommendations depend on access to your cloud billing data.
Can I review changes before Sedai applies them?
Yes, Sedai offers a Copilot mode that allows teams to review and approve recommended changes before they are applied. For organizations comfortable with full autonomy, Sedai can also operate in Autopilot mode, executing optimizations automatically with built-in safety checks. Note: The choice of mode can be configured per environment or workload.
Will resizing a VM cause downtime?
Sedai applies resizing changes with built-in safety checks, audit trails, and health monitoring to minimize risk. However, resizing certain Azure VMs may require a restart, which can result in brief downtime. Sedai's safety-by-design approach includes continuous health verification and automatic rollbacks to ensure safe execution. Note: For mission-critical workloads, review downtime requirements before applying changes.
How does Sedai ensure safe, autonomous optimization for Azure VMs?
Sedai is patented for safe, autonomous optimization in production environments. It uses continuous health verification, incremental changes, and automatic rollbacks to prevent incidents or SLO breaches. All actions are logged with audit trails, and teams can choose Copilot or Autopilot modes for the desired level of control. Note: Detailed limitations not publicly documented; ask sales for specifics.
Business Impact & Performance
What measurable results can Sedai deliver for Azure VM optimization?
Sedai delivers up to 50% reduction in cloud costs by rightsizing workloads and eliminating cloud waste. It can enhance application performance by reducing latency by up to 75% and automates repetitive tasks, delivering up to 6X productivity gains for engineering teams. These outcomes are based on real customer deployments. Note: Actual results may vary depending on workload and environment; contact Sedai for a Proof of Value assessment.
Can you share customer success stories related to Azure optimization?
While most published case studies focus on AWS Lambda and Kubernetes, Sedai's optimization approach has delivered significant results for customers like KnowBe4 (up to 50% cost savings, 99.5% reduction in response time) and Palo Alto Networks ($3.5 million saved). For Azure-specific references, contact Sedai for the latest case studies. Note: Not all case studies are Azure-specific; ask for details relevant to your environment.
Pricing & Implementation
How is Sedai priced for Azure VM optimization?
Sedai uses a resource-based pricing model, where costs are determined by the resources optimized and the value delivered. For Azure VM optimization, pricing is transparent and volume-based, with all costs outlined on Sedai's pricing page. Customers can also take advantage of a free Proof of Value and a 30-day free trial. Note: For a custom quote, contact Sedai sales.
How long does it take to implement Sedai for Azure VM optimization?
Initial setup for Sedai can be completed in as little as 15 minutes using agentless or agent-based deployment. This allows teams to quickly begin reading metrics and optimizing their Azure VM fleet. For more advanced AI Agent Optimization, implementation typically takes two to three weeks. Note: Integration time may vary based on environment complexity.
Technical Requirements & Integrations
What integrations does Sedai support for Azure VM optimization?
Sedai integrates with Azure Monitor and other leading APM tools to collect utilization data. It also connects with ITSM tools like ServiceNow, PagerDuty, and Jira, as well as CI/CD pipelines (GitHub, GitLab, Bitbucket, Terraform) for workflow automation. For more details, visit Sedai's platform page. Note: Some integrations may require additional configuration.
Where can I find technical documentation for Sedai's Azure VM optimization?
Comprehensive onboarding guides and technical documentation for Sedai are available at docs.sedai.io/get-started. These resources cover setup, optimization strategies, and integration best practices. Note: Azure VM-specific documentation may be updated periodically; check the documentation portal for the latest guides.
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, contact Sedai directly.
