Actionability
Challenge: Generic recommendations leave teams unsure how to act.
CloudVectra Solution
Provides actionable guidance — what to fix, why it matters, how to implement, and expected savings.
OptiCloud
Intelligent cloud optimization that actually gets implemented
Built for DevOps, FinOps, and CTOs running critical workloads in the cloud.
OptiCloud cuts through noisy AWS and Azure signals to pinpoint waste, what to fix first, and the impact of actions—so your teams make data-driven decisions and continuously optimize costs, not just watch dashboards.
From Recommendation Noise to an Execution Queue
Recommendations are easy to generate—hard to prioritize and finish. OptiCloud unifies AWS and Azure opportunities in one ranked backlog, with savings estimates and workflows so cost, platform, and security stakeholders assign, track, and close work in one system.
Cost & Rightsizing
Challenge: Cloud spend grows without visibility; overprovisioned resources “just to be safe.”
CloudVectra Solution
Find unused and overprovisioned resources and rightsize to reduce cost without performance impact.
Workflow
Challenge: Critical recommendations are not consistently assigned or tracked.
CloudVectra Solution
Assign, track, and resolve actions with built-in workflows or ServiceNow/Jira integration ensuring accountability.
Alerts & Reporting
Challenge: Alerts and reporting are inconsistent across teams and cloud environments.
CloudVectra Solution
Timely alerts via email, Slack, or Teams, along with exportable reports that provide clear, actionable insights.
Where CloudVectra Goes Beyond Native Tools
Consoles excel at data; they do not run your optimization program. OptiCloud adds prioritization, savings context, and workflows across AWS and Azure so recommendations turn into tracked outcomes.
| Feature | AWS/Azure native | CloudVectra |
|---|---|---|
| Actionable recommendations Provides recommendations with context on what to fix, why, and estimated savings. | Limited | ✔ |
| Multi-cloud optimization dashboard One view for AWS and Azure recommendations. | ✖ | ✔ |
| Rightsizing with performance context Optimize cost while protecting workload health. | Limited | ✔ |
| Built-in task workflows for recommendations Assign, track, and close optimization work. | ✖ | ✔ |
| Alerts & stakeholder reporting Email/Slack/Teams alerts plus exportable reports. | Limited | ✔ |
Key Capabilities
What you can do with OptiCloud
Deep, Actionable Recommendations
Get guidance on what to fix, why it matters, how to implement it, and expected savings — across both AWS and Azure, with implementation steps.
Rightsizing & Cost Optimization
Identifies unused or overprovisioned resources and provides actionable rightsizing recommendations to optimize costs without impacting performance.
Centralized Multi-Cloud Visibility
Consolidates optimization insights from AWS and Azure into a single dashboard, eliminating scattered reporting.
Task Management & Workflow
Assign, track, and resolve recommendations using the built-in task system, or integrate with ServiceNow/Jira.
Notifications & Alerts
Stay informed with automated alerts via email, Slack, or Teams, ensuring critical recommendations are addressed promptly.
Role-Based Access & Team Views
Enforce permissions and enable secure collaboration across teams for managing recommendations.
Proven Results
Up to 75%
Reduction in cloud costs through rightsizing and optimization
High adoption
Most optimization recommendations are acted on through guided workflows
Faster action
Improved adoption of optimization recommendations across teams
*Based on early customer usage data
Case Studies
Wasted Cloud Spend
Problem: Overprovisioned resources were driving unnecessary cloud costs.
Solution: OptiCloud identified underutilized resources and provided actionable rightsizing recommendations.
Result: Optimized resource allocation, reduced waste, and achieved predictable cloud spend.
Misconfigured AI/ML Workload
Problem: High-cost resources were used accidentally, causing unexpected cost spikes.
Solution: OptiCloud detected rightsizing issue, explained the cause, and recommended corrections.
Result: Costs were controlled, and deployment practices were improved.
Reliability & Performance Gaps
Problem: Workloads faced scaling inefficiencies and intermittent performance issues.
Solution: OptiCloud highlighted misconfigurations and recommended adjustments for auto-scaling and reliability.
Result: Improved system stability, reduced operational costs, and enhanced governance visibility.
Want to See How CloudVectra Optimized Cloud Costs?
Learn how customers reduced waste, improved performance, and strengthened cloud reliability — with actionable recommendations across AWS and Azure from a single unified platform.