Your team discovers a $10K monthly overspend only after the bill arrives. Now they're scrambling to analyze cross-AZ data transfer costs, rightsizing instances, and implementing fixes—all while trying to avoid breaking production SLOs.
Cost optimization tools suggest downsizing your database instance to save money, but they don't understand your application's performance profile. The "optimization" crashes your checkout service during peak traffic, costing more in lost revenue than you saved.
Every infrastructure change requires extensive manual review for cost implications. Developers wait hours for capacity planning approvals while platform engineers context-switch between code reviews and cloud billing dashboards.
Aiden analyzes your application topology and performance
data to recommend architecture changes that meet both budget and performance goals. Get precise optimization plans that respect your reliability requirements
2-3 business days analyzing performance data and manually calculating cost impacts
15 minutes to receive and review an intelligent optimization plan with projected outcomes
Aiden analyzes your application's real-world usage patterns
and automatically recommends infrastructure modifications—from instance rightsizing to architectural optimizations—ensuring every change improves cost efficiency while meeting your performance and capacity requirements.
Weekly compliance scans miss critical violations for days
Real-time detection and automated
fixes within minutes (reduces exposure from 7 days to under 1 hour)
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Aiden executes changes in phases with comprehensive validation plans that monitor cost, performance, and capacity metrics in real-time. If any phase fails or metrics drift outside acceptable ranges, automatic rollback procedures restore your infrastructure to its original state within minutes.
6-8 hours manually validating optimization changes and creating rollback procedures
Automated 60-minute validation cycles with instant rollback capability (8 hours saved per optimization deployment)
Unlike generic cost tools that make recommendations in isolation, Aiden understands your application architecture, performance requirements, and governance policies. It provides context-aware optimizations that improve both cost and performance while maintaining SLO compliance.
No, Aiden requires human approval for all recommendations in the MVP. It provides detailed analysis and implementation plans, but all changes go through your existing review processes and require explicit approval before execution.
Aiden integrates directly into your pull request workflow, CI/CD pipelines, and Infrastructure as Code processes. It works alongside your existing tools like Terraform, GitHub, and monitoring systems without requiring workflow changes.
Aiden leverages StackGen's unified topology understanding to optimize across different cloud providers and services. It provides consistent optimization strategies regardless of your underlying infrastructure mix.
Aiden includes built-in validation and rollback capabilities. It monitors key performance metrics after implementation and can automatically revert changes if SLOs are violated, ensuring your applications remain reliable.
Many teams see initial cost savings within the first week of deployment. Aiden immediately begins analyzing your infrastructure and providing optimization recommendations, with the system becoming more intelligent as it learns your specific usage patterns.
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Join forward-thinking platform teams who've eliminated
optimization toil and reduced costs by 35%.
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