Cloudshot saved $ 1.3 million for enterprise
How a leading global enterprise achieved $1.3M in annual savings by implementing unified multi-cloud cost optimization across Azure and GCP.

A Global Enterprise Leader success story
$1.3 M
Annual Cost Savings
42+ Hours
Weekly Time Saved
45 Minutes
Setup Time
Background
A leading global enterprise, running mission-critical workloads across Azure and GCP, was facing rapidly escalating cloud costs.
Despite leveraging the benefits of multi-cloud for agility and scalability, the organization struggled with cost visibility, governance, and optimization, resulting in inefficiencies and financial strain.
Their workloads spanned mission-critical applications, analytics pipelines, and customer-facing platforms.
While their cloud adoption enabled agility, the lack of visibility, cost governance, and unified reporting created inefficiencies and financial risk.
The Challenge

The Problem
- Customer was increasingly facing the challenge of rising cloud costs across Azure and GCP. While cloud adoption has enabled scalability and flexibility, it has also introduced hidden inefficiencies that often go unnoticed.
- Unutilized and underutilized resources such as idle virtual machines, unattached storage volumes, and over-provisioned instances continue to run silently in the background.
- Manual reviews are time-consuming and error-prone, leaving many optimization opportunities missed.
Key Questions Their Team Struggled With:
- "How do we gain visibility into our fragmented multi-cloud spending across Azure and GCP?"
- "How can we identify unused or underutilized resources that are creating waste?"
- "What's the best way to justify cloud costs to Finance and validate technical decisions?"
- "How do we reduce the manual overhead of cost reviews that consume DevOps and FinOps resources?"
Key Challenges:
- Rising Costs: Multiple teams independently provisioning resources across clouds, leading to waste and over-provisioning.
- Blind Spots: Difficulty identifying unused or underutilized resources due to fragmented cloud cost tools.
- Inefficient Reporting: Finance teams struggled to justify costs or validate technical decisions.
- Operational Overhead: Manual cost reviews consumed valuable DevOps and FinOps resources.
The Solution

The team was looking for a solution that was:
- Unified visibility and reporting across multi-cloud environments
- Automated detection of unused and underutilized resources
- Cross-team collaboration capabilities between Finance, Procurement, and technical teams
- One-click remediation and optimization capabilities
Cloudshot checked all the boxes.
Within an hour of onboarding, they had connected their accounts and were viewing cross-account costs in a single dashboard. There was no engineering effort needed.
Cloudshot offered:
Automated Optimization Reports
Instant insights into cost drivers across Azure and GCP.
One-Click Remediation
Recommendations that could be executed with minimal intervention.
Cloud Visualization Dashboard
Visualize and monitor your entire multi-cloud environment in one place.
Cross-Team Collaboration
Read-only dashboards for Finance and Procurement while empowering technical teams with actionable intelligence.
Activity Logs
Provides detailed activity logs for complete visibility and audit readiness.
Real-time Resource Status
Displays real-time resource status across multi-cloud environments.
Consolidated Dashboard
Offers a consolidated single dashboard with all priority changes, cost management, and optimization/remediation actions in one place.
Customized Dashboards
Enables customized dashboards tailored to customer needs through collaborative workshops and joint design sessions with customer and Solution Architects.
The Results

With Cloudshot in place, the customer was able to:
- $1.3M in annual savings identified within minutes of connecting Cloudshot to multi-cloud accounts.
- Actionable, prioritized recommendations delivered in a unified optimization report.
- One-click remediation workflows accelerate adoption of cost-saving measures.
- Automated tagging and governance without the need for custom scripts.
- Improved collaboration between Finance, Procurement, and CloudOps teams.
- Sustainable cloud cost governance established across Azure and GCP.
Annual Cost Saving for Customer
$1.3 M
These savings came from:
- Right-Sizing Underutilized Servers: Several GCP and Azure VMs were running at <15% CPU utilization. Cloudshot recommended downgrading instance families. Impact: 46% cost savings on compute without performance compromise.
- Eliminating Idle Resources: GCP persistent disks and volumes were provisioned but unattached for months. Cloudshot flagged these as unused resources and recommended decommissioning. Impact: Annualized savings of more than 30% across environments.
- Storage Tier Optimization: High-performance storage tiers were being used for archival workloads. Migrated infrequently accessed data to Azure Blob Cool Storage and GCP Nearline Storage. Impact: 40% reduction in storage costs.
- Licensing & Reserved Instances: On-demand usage patterns led to cost unpredictability. Cloudshot recommended a mix of Azure Reserved Instances, and GCP Committed Use Discounts for predictable workloads. Impact: Additional 25% savings on steady-state usage.
They also saved hours every week in manual effort time that the CloudOps team could now spend on higher-value tasks.
Conclusion
- Cloudshot transformed the way the enterprise managed cloud spending by shifting from reactive monitoring to proactive optimization. Instead of chasing spreadsheets, teams gained a single source of truth for cost management.
- Significant annual cost savings within weeks.
- Improved operational efficiency through automation
- Enhanced financial governance and transparency
- Future-ready cloud infrastructure with optimized resource allocation
- By leveraging Cloudshot, the enterprise not only reduced costs but also modernized their cloud financial operations. With deep visibility, actionable intelligence, and one-click optimization, Cloudshot continues to empower enterprises to scale cloud usage confidently while keeping costs under control.