Prioritized
Know what matters first
Rank by savings, confidence, risk, and effort instead of sorting through generic cloud noise.
OptiCloud + OptiFix
Intelligent cloud optimization that actually gets implemented
From recommendation to secure auto-fix
OptiCloud cuts through noisy AWS and Azure signals to show what to fix first, why it matters, expected savings, and the next implementation step.
OptiFix takes it from there — securely automating approved fixes and verifying the outcome, so teams optimize costs instead of just watching dashboards.
Ranked recommendations Savings context Secure auto-fix Audit & workflow tracking
Optimization
Top priority recommendation
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 with Automation
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. Don’t want manual steps? OptiFix securely automates approved fixes and verifies the outcome, turning recommendations into completed optimization work.
Recommendation flow
Idle or Underutilized Resources
1
Detected
Identify idle, unused, or overprovisioned resources.
2
Explained
See why the resource is flagged, how long it has been underutilized, and the expected savings.
3
Approve
Review the recommendation and authorize the action.
4
Execute and Verify
OptiFix securely performs the approved action and confirms the resource reached the expected state..
$
Measure
Track completion, estimated savings, and realized optimization impact.
Actionable
Move directly into work
Turn the recommendation into a ServiceNow, Jira, or internal task with owner-ready context.
Automate - OptiFix
Fix it without the manual steps
Securely automate approved cloud actions and verify that resources reach their expected state.
Measurable
Validate the outcome
Track approvals, expected savings, and post-change health in the same optimization path.
Key Capabilities
More ways OptiCloud drives optimization
Turn approved recommendations into controlled cloud actions.
OptiFix removes repetitive manual execution while maintaining explicit approval, secure authorization, and post-action verification. Every action is traceable from recommendation to outcome.
Rightsizing & Cost Optimization
Compare current and recommended resource sizes with savings, utilization, and risk context so teams can reduce spend without guessing.
Rightsizing decision
Same workload, cleaner resource size
Current t3.xlarge
$121.47/mo
CPU 12%
RAM 18%
Overprovisioned
Recommended t3.medium
$30.37/mo
CPU 78%
RAM 82%
Right-sized
75% cost savings Save $91.10/mo on this resource
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.
Multi-cloud visibility
One prioritized queue across providers
AWS 17 $75.9K
Azure 52 $2.2M
01 Overprovisioned compute
$18.4K/mo 02 Unused storage volumes
$1.8K/mo 03 Idle app service plan
$3.1K/mo Task Management & Workflow
Assign, track, and resolve recommendations using the built-in task system, or integrate with ServiceNow/Jira.
Notifications & Alerts
Automated alerts delivered via email, Slack, and Microsoft Teams help teams quickly act on optimization insights and reduce cloud waste.
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
Overprovisioned Azure App Service Plans
Problem
Azure App Service Plans were provisioned at higher tiers than required, resulting in consistently underutilized compute capacity and inflated monthly costs.
CloudVectra
OptiCloud analyzed actual application load and recommended downgrading App Service Plan tiers to match real usage patterns.
Impact
Optimized App Service costs while maintaining application performance and stability.
Scenario
Reliability & Performance Optimization Gaps
Problem
Workloads experienced inefficient scaling behavior and periodic performance degradation due to misconfigured resource allocation.
CloudVectra
OptiCloud identified configuration inefficiencies and recommended optimized autoscaling and resource allocation strategies.
Impact
Improved workload stability, reduced unnecessary cost overhead, and strengthened governance visibility.
Scenario
Misconfigured AI/ML GPU Workload
Problem
High-cost GPU instances were provisioned incorrectly or used without proper workload alignment, leading to unexpected significant cost spikes.
CloudVectra
OptiCloud identified the misconfiguration, analyzed resource usage patterns, and recommended appropriate instance types and sizing adjustments.
Impact
GPU spend was brought under control and deployment practices were improved to prevent future misconfigurations.
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