AWS Cost Optimization & FinOps
AWS cost optimization and FinOps consulting. Reduce cloud spend by 30-50% through right-sizing, Reserved Instances, architectural changes, and governance.
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Why Choose MicrocosmWorks for AWS Cost Optimization?
Most AWS environments are overspending by 30-50% without realizing it. We combine deep technical analysis with FinOps practices to identify and eliminate waste — from oversized instances and idle resources to architectural patterns that unnecessarily inflate your bill. Our optimizations are sustainable, not just one-time fixes.
Our AWS FinOps Capabilities
- Cost Analysis & Visibility — Implement granular cost allocation with tags, Cost Explorer dashboards, and custom reports that show exactly where money goes.
- Right-Sizing — Analyze utilization data to recommend optimal instance types, identify over-provisioned resources, and implement automatic scaling.
- Commitment Management — Optimize Reserved Instance and Savings Plan portfolios, manage coverage targets, and automate purchase recommendations.
- Architectural Optimization — Identify architectural changes that reduce costs: serverless migration, spot instances, tiered storage, and caching strategies.
- Waste Elimination — Find and terminate idle resources, orphaned volumes, unused elastic IPs, and over-provisioned capacity across all services.
- FinOps Culture — Establish cost governance practices, team accountability, budget alerts, and engineering-driven cost awareness.
AWS-Specific Technology Stack
We leverage Cost Explorer, Compute Optimizer, Trusted Advisor, and custom analysis tools to identify savings. Implementation uses Organizations for governance, Budgets for alerting, and custom Lambda functions for automated cost controls — delivering sustained savings month over month.
Who This Is For
Companies spending $10K+ monthly on AWS that suspect they're overpaying but lack visibility into where the waste is. Also for fast-growing companies that want to establish FinOps practices before costs spiral out of control.
Our Process
Cost Assessment
Analyze current spend patterns, identify top cost drivers, and benchmark against industry standards.
Savings Identification
Generate prioritized recommendations with projected savings for right-sizing, commitments, and architecture changes.
Quick Wins Implementation
Execute immediate savings: terminate waste, right-size instances, purchase optimal commitments.
Architectural Optimization
Implement deeper savings through serverless migration, caching, storage tiering, and spot adoption.
FinOps Governance
Establish ongoing cost monitoring, team budgets, automated alerts, and monthly optimization reviews.
Technology Stack
Cost Analysis
Governance
Optimization
Automation
Industries We Serve
Overspending on AWS?
Let us analyze your AWS bill and show you exactly where you can save 30-50% without sacrificing performance.
Frequently Asked Questions
MicrocosmWorks implements Reserved Instance and Savings Plan analysis, right-sizing recommendations, S3 lifecycle policies, unused resource cleanup, Spot Instance strategies, and cost allocation tagging to reduce AWS bills by 25-50% on average.
AWS FinOps consulting is available at $20-$40/hour, with most engagements delivering 3-10x ROI within the first quarter through identified savings on compute, storage, and data transfer costs.
Yes, we configure AWS Cost Explorer custom reports, set up CloudWatch billing alarms, implement cost anomaly detection, and build custom dashboards that provide per-team, per-service, and per-environment cost breakdowns with trend analysis.
MicrocosmWorks assists with AWS EDP analysis by forecasting your committed spend, modeling discount tiers, and helping you structure commitments that align with your growth trajectory to maximize enterprise discounts.
We analyze your usage patterns across EC2, Fargate, and Lambda to recommend the optimal mix of Compute Savings Plans, EC2 Instance Savings Plans, and Reserved Instances, using tools like AWS Cost Explorer and custom modeling to maximize discount coverage without over-committing.