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OptiCloud

Intelligent cloud optimization that actually gets implemented

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.

Ranked recommendations Savings context Implementation steps Workflow tracking

Optimization

Top priority recommendation

High impact

AWS EC2 - production

Rightsize overprovisioned compute group

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

A complete path from detection to savings.

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

Rightsize compute safely

1

Detected

Dev compute group is oversized for observed CPU and memory trends.

2

Explained

Utilization stayed below target for 12 days and commitment coverage can absorb the smaller footprint.

3

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

Know what matters first

Rank by savings, confidence, risk, and effort instead of sorting through generic cloud noise.

Actionable

Move directly into work

Turn the recommendation into a ServiceNow, Jira, or internal task with owner-ready context.

Measurable

Validate the outcome

Track approvals, expected savings, and post-change health in the same optimization path.

Key Capabilities

More ways OptiCloud drives optimization

Rightsizing & Cost Optimization

Compare current and recommended resource sizes with savings, utilization, and risk context so teams can reduce spend without guessing.

Centralized Multi-Cloud Visibility

Bring AWS and Azure optimization opportunities into one prioritized view so teams can compare savings, ownership, and action status across clouds.

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.

Proven Results

Measured impact teams can see

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

Real customer scenarios

Practical examples of how teams use CloudVectra to move from operational complexity to clearer decisions and measurable action.

Scenario

Wasted Cloud Spend

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.

Solution

Misconfigured AI/ML Workload

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.

Impact

Reliability & Performance Gaps

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.

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Learn how customers reduced waste, improved performance, and strengthened cloud reliability — with actionable recommendations across AWS and Azure from a single unified platform.