Cloud Consolidation Services for Enterprise Cost Optimization
Relevance Lab merges scattered AWS, Azure and GCP accounts, subscriptions and workloads into a leaner, better-governed footprint — cutting cloud account consolidation and cloud resource consolidation into real, sustained savings and purchasing leverage.
- Audit & Map the Cloud EstateA full inventory of accounts, subscriptions, projects, workloads, tools and contracts across AWS, Azure and GCP — including what's redundant or forgotten.
- Consolidate Accounts & SubscriptionsAWS Organizations, Azure management groups and GCP folders restructured into fewer, better-governed units without disrupting running workloads.
- Rationalize Redundant Tools & WorkloadsDuplicate SaaS tooling, overlapping environments and redundant workloads identified and retired or merged.
- Govern the Consolidated EstateTagging, budgets and a unified purchasing strategy — EDP, MACC or committed use — applied across the newly consolidated footprint.
Quick answerCloud consolidation is the practice of merging scattered or duplicate cloud accounts, subscriptions, projects, tools and workloads into a smaller, better-governed footprint — reducing overhead and improving your ability to negotiate committed-spend pricing. Relevance Lab runs cloud consolidation as a structured, sequenced engagement across AWS, Azure and GCP.
Shrinking the footprint before you optimize it
Cloud cost optimization reduces spend within your existing footprint. Cloud consolidation shrinks and restructures the footprint itself first — merging accounts, retiring duplicate tools, and unifying purchasing — which often unlocks bigger optimization gains once it's done.
As a cloud consolidation services provider, Relevance Lab runs this as a structured, low-risk engagement: full estate audit, sequenced account and subscription consolidation, tool rationalization, and governance that keeps the estate from sprawling back out.
What a Relevance Lab consolidation engagement gets you
- A full inventory of accounts, subscriptions, tools and contracts
- Fewer, better-governed accounts and subscriptions
- Redundant tools and workloads retired or merged
- Purchasing power consolidated for deeper commitment discounts
The cloud consolidation problems enterprises hit
Sprawl accumulates quietly — through M&A, shadow IT and years of self-service sign-ups.
Duplicate accounts & subscriptions
Years of acquisitions, shadow IT and self-service sign-ups leave dozens of AWS accounts, Azure subscriptions or GCP projects nobody fully owns.
Redundant tools & environments
The same monitoring, CI/CD or data platform gets licensed and run three different ways across three different teams.
Fragmented purchasing power
Spend split across many accounts can't reach the commitment tiers (EDP, MACC, committed use) that unlock the deepest discounts.
Inconsistent governance per account
Every unconsolidated account has its own ad hoc tagging, access and security posture — none of it consistent enough to govern centrally.
No single view of total spend
With cost split across dozens of disconnected accounts, nobody can answer 'what do we actually spend on cloud' with confidence.
M&A-driven cloud sprawl
Mergers and acquisitions routinely double or triple an organization's cloud footprint overnight, with no plan to unify it.
What changes when your cloud estate is consolidated
Most enterprises start fragmented. Here's what consolidation changes across the estate.
| Dimension | Fragmented estate | Consolidated estate |
|---|---|---|
| Accounts/subscriptions | Dozens, ad hoc, inconsistently owned | A deliberate, governed structure with clear ownership |
| Purchasing power | Spend too fragmented to hit commitment tiers | Consolidated spend qualifies for deeper EDP/MACC/CUD discounts |
| Tooling | Duplicate tools licensed across teams | Rationalized, single instances per capability |
| Governance | Different standards per account | One tagging & policy standard, enforced everywhere |
| Visibility | No single view of total spend | One consolidated view across the whole estate |
Four pillars of a Relevance Lab cloud consolidation engagement
Each pillar can stand alone or run together as one structured engagement.
Audit & Map the Estate
A full inventory of accounts, subscriptions, projects, workloads, tools and contracts — including what's redundant or forgotten.
- Cross-cloud account & subscription inventory
- Tool & license overlap analysis
- Contract & commitment mapping
Consolidate Accounts & Subscriptions
AWS Organizations, Azure management groups and GCP folders restructured into fewer, better-governed units without disrupting running workloads.
- Account/subscription restructuring plan
- Safe, sequenced workload migration
- Rollback-ready cutover planning
Rationalize Redundant Tools & Workloads
Duplicate SaaS tooling, overlapping environments and redundant workloads identified and retired or merged.
- Tool & license rationalization
- Duplicate environment retirement
- Workload merge & decommission plans
Govern the Consolidated Estate
Tagging, budgets and a unified purchasing strategy applied across the newly consolidated footprint so gains hold.
- Unified tagging & governance standard
- EDP / MACC / committed use strategy
- Budgets & guardrails post-consolidation
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 consolidation
Struggling with Unmanaged Cloud Assets across Providers AWS, Azure, & GCP?
A practical framework for auditing unmanaged, unmonitored assets across AWS, Azure and GCP — the first step in any consolidation effort.
Read MoreBlogHow to Achieve Auto-Remediation and Continuous Compliance for Cloud Governance?
The governance framework that keeps a consolidated cloud estate from drifting back into sprawl.
Read MoreCase StudyBeyond Migration: 150+ Apps' Journey to the Cloud with Zero Downtime
How a large publisher rationalized 150+ applications and retired legacy footprint while consolidating onto AWS.
Read the Case StudyConsolidated your estate? Explore Cloud Cost Optimization next
Pair cloud consolidation with the rightsizing, reserved capacity and storage tiering that reduce the bill inside your newly consolidated footprint.
Cloud consolidation: frequently asked questions
Content last reviewed: September 2026
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