AWS FinOps & Cloud Cost Optimization Services
Relevance Lab delivers AWS FinOps as a managed practice — AWS cost optimization, cost management and governance built on Cost Explorer, Compute Optimizer, Reserved Instances and Savings Plans, run by an AWS Advanced Tier Partner.
- Audit with AWS Cost ExplorerCost and Usage Report (CUR) analysis across accounts and AWS Organizations to baseline spend, tagging coverage and commitment utilization.
- Rightsize with Compute OptimizerEC2, RDS, Lambda and EBS rightsizing recommendations turned into a phased execution plan, not just a dashboard.
- Commit with RIs, Savings Plans & SpotReserved Instance and Savings Plan coverage tuned to real usage, with a Spot strategy for flexible, interruption-tolerant workloads.
- Govern with Budgets & Trusted AdvisorAWS Budgets, Cost Anomaly Detection and tagging policy so AWS spend stays visible and accountable month over month.
Quick answerAWS FinOps is the practice of managing AWS cost as a shared, continuously optimized responsibility — using Cost Explorer, Compute Optimizer, Reserved Instances, Savings Plans and tagging governance to keep AWS spend visible, optimized and accountable. Relevance Lab runs AWS FinOps as a managed service, backed by AWS Advanced Tier Partner status.
Turning AWS spend into a managed, shrinking line item
AWS gives you more cost tooling than any other cloud — Cost Explorer, Compute Optimizer, Trusted Advisor, Budgets — but each tool only shows part of the picture. AWS FinOps is the discipline that ties them together into a single practice: continuous rightsizing, disciplined commitment purchasing, and governance that keeps waste from creeping back in.
As an AWS Advanced Tier Partner, Relevance Lab runs AWS cost optimization and management as an ongoing managed service — across compute, storage and the SageMaker and Bedrock workloads that are now among the fastest-growing, least optimized parts of the AWS bill.
What an AWS FinOps engagement gets you
- Rightsizing tuned to Compute Optimizer data and real usage
- Reserved Instance and Savings Plan coverage that tracks usage, not a one-time purchase
- S3 and EBS storage tiering that eliminates silent waste
- Tagging, budgets and Trusted Advisor remediation so every account is accountable
The AWS cost problems FinOps solves
Most AWS bills carry more waste than teams realize. Here's where it typically hides.
Oversized EC2 & RDS
Instances and databases sized for peak load keep running at a fraction of utilization, invisible until someone goes looking.
Thin RI & Savings Plan coverage
Reserved Instance and Savings Plan commitments made once and never revisited drift out of sync with how you actually run AWS.
EBS & S3 storage sprawl
Unattached EBS volumes, orphaned snapshots and data sitting in Standard storage instead of Infrequent Access or Glacier quietly add up.
No Compute Optimizer automation
Compute Optimizer surfaces rightsizing recommendations, but without a process to act on them they pile up unread in the console.
Weak tagging across accounts
Without a tagging standard enforced through AWS Organizations, nobody can tell which team or product owns a given line of spend.
SageMaker & Bedrock GPU waste
Idle GPU instances and unoptimized inference endpoints on SageMaker and Bedrock are among the fastest-growing sources of avoidable AWS spend.
What AWS's own cost tools give you — and where we add value
AWS ships strong cost tooling. The gap is turning recommendations into a sustained practice.
| AWS tool | What it gives you | Where Relevance Lab adds value |
|---|---|---|
| AWS Cost Explorer | Historical spend trends and forecasts by service, account and tag | We model this into CUR + Athena/QuickSight for account- and product-level attribution |
| AWS Compute Optimizer | Rightsizing recommendations for EC2, EBS, Lambda and ECS | Validated against real utilization and turned into a phased, low-risk rightsizing plan |
| AWS Trusted Advisor | Point-in-time cost, security and performance checks | Findings triaged and remediated on a recurring cadence, not left unread |
| AWS Budgets & Cost Anomaly Detection | Threshold alerts and anomaly notifications | Wired into ownership and escalation so alerts turn into action |
Four pillars of a Relevance Lab AWS FinOps engagement
Each pillar can stand alone or run together as a continuous, managed practice.
Visibility with Cost Explorer & CUR
Cost and Usage Report data modeled in Athena and QuickSight, with tagging coverage and anomaly detection built in from day one.
- CUR + Athena/QuickSight cost modeling
- Tagging coverage audit by account
- AWS Cost Anomaly Detection setup
Rightsizing with Compute Optimizer
Compute Optimizer recommendations validated against real usage and turned into a phased rightsizing plan across compute and storage.
- EC2, RDS & Lambda rightsizing
- EBS volume & IOPS optimization
- Container & EKS cost tuning
RIs, Savings Plans & Spot Strategy
Commitment coverage analysis across Reserved Instances, Savings Plans and Spot, rebalanced as usage shifts instead of set once.
- Coverage & utilization analysis
- RI / Savings Plan purchasing strategy
- Spot strategy for flexible, fault-tolerant workloads
Governance with Tagging, Budgets & Trusted Advisor
Tagging enforcement, AWS Budgets and Trusted Advisor cost checks so every account stays accountable as your AWS footprint grows.
- Tagging policy & Organizations SCPs
- AWS Budgets & spend alerts
- Trusted Advisor cost check remediation
AWS cost optimization across compute, storage and AI workloads
- EC2 & Auto Scaling rightsizing
- Lambda cost & concurrency tuning
- ECS / EKS node & pod optimization
- S3 storage class & lifecycle tiering
- EBS volume & snapshot cleanup
- RDS & DynamoDB rightsizing
- SageMaker training & endpoint cost tuning
- Bedrock inference cost management
- GPU instance utilization monitoring
Running multi-cloud alongside AWS? Explore our Cloud Cost Optimization services across AWS, Azure and GCP.
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 AWS FinOps
Struggling with Unmanaged Cloud Assets across Providers AWS, Azure, & GCP?
A practical framework for auditing unmanaged, unmonitored AWS assets and turning them into a cost-optimized, governed environment.
Read MoreCase StudyBeyond Migration: 150+ Apps' Journey to the Cloud with Zero Downtime
How a large publisher cut costs by 40% by rationalizing 150+ applications and retiring legacy footprint during an AWS migration.
Read the Case StudyBlogScaling AWS Partnership in 2026 with Purpose-Built Cloud Solutions
How Relevance Lab's AWS Advanced Tier Partnership translates into purpose-built, cost-efficient cloud platforms for enterprise workloads.
Read MoreRunning Azure or GCP alongside AWS? Explore multi-cloud cost optimization
Pair AWS FinOps with rightsizing, reserved capacity and governance across Azure and Google Cloud too — managed as one consistent practice.
AWS FinOps: frequently asked questions
Content last reviewed: September 2026
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