Cloud Cost Management Services for Enterprise
Relevance Lab brings cloud spend management, financial management and cost control together into one consolidated practice — replacing scattered AWS, Azure and GCP billing consoles with a single, trusted view of cost.
- Gain VisibilityConsolidated cost visibility across AWS, Azure and GCP — by account, team, product and environment — replacing scattered native billing consoles with one view.
- Allocate & AttributeTagging and labeling standards that let every dollar of cloud spend be attributed to the team or product that owns it.
- Optimize ContinuouslyRightsizing, reserved capacity and storage tiering run as a continuous practice, not a one-time cleanup.
- Forecast & ReportBudgets, forecasts and showback/chargeback reporting that give finance and engineering a shared, trusted number.
Quick answerCloud cost management is the ongoing discipline of tracking, allocating, optimizing and forecasting cloud spend across your provider(s) — turning scattered AWS, Azure and GCP billing data into a single, governed view that finance and engineering both trust. Relevance Lab delivers cloud cost management as a managed, cross-cloud practice.
From scattered billing data to one trusted number
Cloud cost optimization reduces what you're already spending. Cloud cost management is the broader operational practice around it — the visibility, allocation, forecasting and reporting layer that makes savings measurable and keeps finance and engineering working from the same number.
As a cloud cost management services provider, Relevance Lab runs this as a continuous practice across AWS, Azure and GCP — not a one-time reporting project — so the view stays current as your environment and spend evolve.
What a Relevance Lab cost management engagement gets you
- One consolidated view of spend across every cloud you run
- Consistent tagging and cost allocation by team and product
- Forecasting and budget alerts before, not after, overruns
- Showback/chargeback reporting finance and engineering both trust
The cloud cost management problems enterprises hit
Most organizations don't lack cost data — they lack a consolidated, trusted practice for using it.
Scattered billing consoles
AWS Cost Explorer, Azure Cost Management and Google Cloud Billing each tell a different, disconnected part of the story.
No consistent cost allocation
Without a shared tagging and labeling standard across clouds, spend can't be attributed to the team or product that owns it.
Manual, spreadsheet-based reporting
Monthly cost reports built by hand in spreadsheets are stale the moment they're published, and don't scale as usage grows.
Budgets discovered after they're blown
Without forecasting and proactive alerts, teams find out about a budget overrun in the invoice, not before it happens.
Finance and engineering don't trust the same number
When finance's view of cloud spend doesn't match engineering's, every conversation about cost starts from a disagreement.
Optimization that's reactive, not continuous
Cost reviews that happen once a quarter miss the waste that accumulates every week in between.
What changes when cost management becomes a managed practice
Most enterprises start with ad hoc, cloud-by-cloud tracking. Here's what a consolidated practice changes.
| Dimension | Ad hoc, cloud-by-cloud tracking | Managed cloud cost management |
|---|---|---|
| Visibility | Separate consoles per cloud, checked ad hoc | One consolidated, real-time view across AWS, Azure & GCP |
| Allocation | Inconsistent or missing tags | Enforced tagging/labeling standard, cost owned by team |
| Reporting | Manual spreadsheets, always stale | Automated showback/chargeback reporting |
| Forecasting | Budget overruns found in the invoice | Proactive forecasts & alerts before overrun |
| Optimization | Quarterly, reactive cost reviews | Continuous rightsizing & commitment management |
Four pillars of a Relevance Lab cost management engagement
Each pillar can stand alone or run together as a continuous, managed practice.
Gain Visibility
One consolidated view of cost across AWS, Azure and GCP — by account, team, product and environment — replacing scattered native consoles.
- Multi-cloud billing data consolidation
- Dashboards by team, product & environment
- Real-time spend tracking, not month-end surprises
Allocate & Attribute
A shared tagging and labeling standard applied consistently across clouds so every dollar of spend has an owner.
- Cross-cloud tagging/labeling taxonomy
- Cost allocation by cost center
- Untagged & unallocated spend cleanup
Optimize Continuously
Rightsizing, reserved capacity and storage tiering run as a standing practice, feeding directly off the visibility and allocation layers.
- Continuous rightsizing reviews
- Reserved capacity & discount coverage tracking
- Storage lifecycle & tiering policies
Forecast & Report
Budgets, forecasts and showback/chargeback reporting that give finance and engineering a single, trusted number to work from.
- Budget forecasting & variance tracking
- Showback / chargeback reporting
- Executive & board-ready cost reporting
Cost management expertise across AWS, Azure and GCP
- Cost Explorer & CUR-based reporting
- AWS Organizations cost allocation
- Budgets & Cost Anomaly Detection
- Cost Management + Billing reporting
- Management group cost allocation
- Budgets & anomaly alerts
- Billing export to BigQuery reporting
- Project & folder-level cost allocation
- Budget alerts & cost controls
Ready to reduce spend, not just report on it? Pair this with Cloud Cost Optimization for rightsizing, reserved capacity and storage tiering.
FinOps and cloud cost optimization, tuned by industry
Every industry hits cloud cost management differently. Our FinOps services adapt the same core practice to the constraints that matter most in your sector.
Financial Services
FinOps for banks, insurers and fintechs balances aggressive cloud cost optimization with the audit trails, tagging discipline and regulatory reporting that financial services compliance demands.
- Cost governance mapped to compliance & audit needs
- Chargeback across business units and trading desks
- Optimization for high-volume transaction workloads
Hi-Tech
Fast-scaling product and engineering teams get real-time cloud cost management and AI FinOps guardrails that keep pace with rapid deployment cycles, without slowing engineering down.
- Cost visibility by product, team and environment
- AI FinOps for GPU-heavy training and inference
- Automated rightsizing that keeps up with scale
Healthcare & Life Sciences
Research computing, genomics and clinical workloads bring bursty, high-cost cloud usage. Our FinOps services bring cost accountability without compromising data governance or research velocity.
- Cost controls for research & HPC workloads
- Governance aligned to healthcare data compliance
- Grant- and project-based cost allocation
Blogs and case studies on cloud cost management
Cloud Management, Automation, DevOps and AIOps: Key Offerings from Relevance Lab
How an automation-first approach to cloud management helped enterprise customers cut IT spend by 30% over three years while shipping faster.
Read MoreCase StudyBeyond Migration: 150+ Apps' Journey to the Cloud with Zero Downtime
How a large publisher cut cloud costs by 40% by rationalizing 150+ applications and retiring legacy footprint during a cloud migration.
Read the Case StudyBlogStruggling with Unmanaged Cloud Assets across Providers AWS, Azure, & GCP?
A practical framework for auditing unmanaged, unmonitored assets across AWS, Azure and GCP and turning them into a cost-optimized, governed environment.
Read MoreReady to go from visibility to reduction? Explore Cloud Cost Optimization
Pair cloud cost management with the rightsizing, reserved capacity and storage tiering that actually reduce the bill — across AWS, Azure and GCP.
Cloud cost management: frequently asked questions
Content last reviewed: September 2026
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