Prioritized
Know what matters first
Rank by savings, confidence, risk, and effort instead of sorting through generic cloud noise.
OptiCloud cuts through noisy AWS and Azure signals to show what to fix first, why it matters, expected savings, and the next implementation step so teams optimize costs instead of just watching dashboards.
Optimization
AWS EC2 - production
Monthly savings
$18.4K
Risk
Low
Effort
2 hrs
Projected impact
$42K annualized savings after policy and resize recommendations.
Plain-language next step
Resize first, then review autoscaling floor.
Deep, Actionable Recommendations
Recommendations go beyond suggestions—each insight shows what was found, why it matters, how to resolve it, and the expected savings before it’s turned into an assigned task.
Recommendation flow
Detected
Dev compute group is oversized for observed CPU and memory trends.
Explained
Utilization stayed below target for 12 days and commitment coverage can absorb the smaller footprint.
Guided
Create a change task, resize during the approved window, then monitor health for seven days.
Savings
$2.4K monthly savings with low operational risk and tracked approval status.
Prioritized
Rank by savings, confidence, risk, and effort instead of sorting through generic cloud noise.
Actionable
Turn the recommendation into a ServiceNow, Jira, or internal task with owner-ready context.
Measurable
Track approvals, expected savings, and post-change health in the same optimization path.
Key Capabilities
Compare current and recommended resource sizes with savings, utilization, and risk context so teams can reduce spend without guessing.
Rightsizing decision
Overprovisioned
Right-sized
Bring AWS and Azure optimization opportunities into one prioritized view so teams can compare savings, ownership, and action status across clouds.
Multi-cloud visibility
Assign, track, and resolve recommendations using the built-in task system, or integrate with ServiceNow/Jira.
Stay informed with automated alerts via email, Slack, or Teams, ensuring critical recommendations are addressed promptly.
Proven Results
Practical outcomes from turning cloud optimization into governed, repeatable operating workflows.
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
Practical examples of how teams use CloudVectra to move from operational complexity to clearer decisions and measurable action.
Problem
Overprovisioned resources were driving unnecessary cloud costs.
CloudVectra
OptiCloud identified underutilized resources and provided actionable rightsizing recommendations.
Impact
Optimized resource allocation, reduced waste, and achieved predictable cloud spend.
Problem
High-cost resources were used accidentally, causing unexpected cost spikes.
CloudVectra
OptiCloud detected rightsizing issue, explained the cause, and recommended corrections.
Impact
Costs were controlled, and deployment practices were improved.
Problem
Workloads faced scaling inefficiencies and intermittent performance issues.
CloudVectra
OptiCloud highlighted misconfigurations and recommended adjustments for auto-scaling and reliability.
Impact
Improved system stability, reduced operational costs, and enhanced governance visibility.
Get started
Learn how customers reduced waste, improved performance, and strengthened cloud reliability — with actionable recommendations across AWS and Azure from a single unified platform.