FinOps - Cloud Cost Optimization
Cloud costs growing faster than revenue? FinOps brings financial accountability to cloud spending. We identify waste, optimize resources, and implement governance. Average savings: 30% within 3 months.

What is FinOps and what does cloud cost optimization involve?
FinOps is a cultural practice and methodology that brings financial accountability to cloud spending across AWS, Azure, and GCP — covering cost visibility, right-sizing, reservation management, waste elimination, and governance automation. nFlo implements the full FinOps framework (Inform → Optimize → Operate), delivering quick wins within 1–2 weeks and an average 30% cost reduction within 3 months, with ongoing Managed FinOps available from 5,000 PLN/month.
Cloud bill shock is real - and preventable
Financial accountability for cloud
Visibility
Who spends what and why
Optimization
Right-sizing and waste elimination
Governance
Policies and automation
“Our AWS bill went from $10K to $100K in a year”
Startup scaled fast. Developers spun up resources as needed. Nobody tracked costs. One year later: $100K monthly bill, CFO asking questions, nobody knows what’s actually needed. Sound familiar?
Common cloud cost problems:
- No visibility into who spends what
- Over-provisioned resources “just in case”
- Zombie resources running with no purpose
- No reserved instances or savings plans
- Dev/test environments running 24/7
FinOps - Cloud Financial Management
FinOps is a cultural practice and methodology that brings financial accountability to cloud. We implement visibility, optimization, and governance that delivers real savings without impacting performance.
FinOps framework:
- Inform: Visibility, allocation, showback
- Optimize: Right-sizing, reservations, waste elimination
- Operate: Policies, automation, continuous improvement
Optimization Areas
Right-sizing
- Instance type optimization
- Storage tier optimization
- Database sizing
- Container resource limits
Typical savings: 20-40%
Reserved Capacity
- Reserved Instances analysis
- Savings Plans optimization
- Committed Use Discounts
- Spot/Preemptible instances
Typical savings: 30-60% on eligible workloads
Waste Elimination
- Unused resources identification
- Orphaned snapshots and volumes
- Idle load balancers
- Unattached IP addresses
Typical savings: 10-20%
Scheduling
- Dev/test environment scheduling
- Non-production shutdowns
- Auto-scaling optimization
- Parking policies
Typical savings: 40-70% on non-prod
Cloud Platforms
AWS
- Cost Explorer and Budgets
- Trusted Advisor optimization
- Compute Optimizer
- Savings Plans analysis
Azure
- Cost Management + Billing
- Azure Advisor
- Reserved Instances
- Hybrid Benefit optimization
Google Cloud
- Cloud Billing reports
- Recommender
- Committed Use Discounts
- Active Assist
Governance and Cost Automation
Lasting cloud cost optimization requires governance - a set of rules, policies, and automation that prevent old habits from returning. We implement control mechanisms that operate without human intervention.
Tagging strategy is the foundation of cost visibility. We define mandatory tags (team, project, environment, cost-center) and enforce them through Tag Policies (AWS Organizations) or Azure Policy, which block resource creation without required tags. This ensures every cloud resource is attributed to a specific team and project - no more “nobody’s” costs. Cost dashboards (AWS Cost Explorer, Azure Cost Management, or Kubecost for Kubernetes) display spending broken down by team, project, and environment.
Budgets and alerts prevent bill surprises. We configure budgets at organization, project, and team levels with alerts at 50%, 80%, and 100% utilization. Cost anomaly alerts (AWS Cost Anomaly Detection, Azure Cost Alerts) notify about sudden spending spikes within hours, not at month’s end. For critical limits, we implement automated actions - such as blocking new instance creation when the dev budget is exceeded.
Scheduling automation shuts down development and test environments outside working hours and on weekends. Typical savings: 65-70% of non-prod environment costs. We implement through AWS Instance Scheduler, Azure Automation, or custom Lambda/Functions with per-team configuration (some teams work different hours). Production environments remain untouched.
Reservation management is a continuous process, not a one-time purchase. We analyze steady-state usage monthly, recommend the optimal RI/Savings Plans mix (1-year vs. 3-year, All Upfront vs. Partial vs. No Upfront), and monitor existing reservation utilization. An unused reservation is wasted money - we report coverage and utilization in monthly reviews.
Who is this for?
This service is for you if:
- Cloud bill is growing faster than business
- Nobody knows where cloud money goes
- Finance is asking hard questions
- You’ve never optimized reservations
- Dev/test costs rival production
Deliverables
FinOps Assessment
- Current spend analysis
- Waste identification
- Optimization opportunities
- Savings estimate
Time: 1-2 weeks | Price from: 15,000 PLN
Cost Optimization Project
- Quick wins implementation
- Right-sizing execution
- Reservation optimization
- Tagging and allocation setup
Time: 4-6 weeks | Price from: 40,000 PLN
Managed FinOps
- Continuous optimization
- Monthly reporting
- Anomaly detection
- Governance enforcement
- Quarterly business reviews
Price from: 5,000 PLN/month + % of savings
Related Glossary Terms
Learn more about key concepts related to this service:
Contact your account manager
Discuss FinOps - Cloud Cost Optimization with your dedicated account manager.

How we work
Our proven service delivery process.
Assessment
Current spend analysis
Quick wins
Immediate savings opportunities
Optimization
Right-sizing and reservations
Governance
Policies and tagging
Continuous
Ongoing optimization
Benefits for your business
What you gain by choosing this service.
Cost reduction
30% average savings
Visibility
Know where money goes
Accountability
Teams own their costs
Predictability
Accurate forecasting
Related Articles
Expand your knowledge with our resources.
CVE-2026-45208: TOCTOU LPE in Trend Micro Apex One / Vision One SEP Agent
Time-of-Check Time-of-Use (TOCTOU, CWE-367) vulnerability in the Apex One/SEP agent - local privilege escalation. Last of 8 vulnerabilities in bulletin KA-0023430 (different class from the other 7 origin validation flaws)...
Read more →Critical Vulnerabilities in Fortinet Products – FortiSandbox, FortiDDoS-F, and FortiAnalyzer Cloud (April 2026)
Fortinet has published PSIRT advisories for four vulnerabilities across its products. Two critical flaws in FortiSandbox allow unauthenticated attackers to achieve remote code execution and authentication bypass with privilege escalation...
Read more →CVE-2026-5058: Command injection in aws-mcp-server aws-mcp-server
aws-mcp-server Command Injection Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of aws-mcp-server. Authentication i...
Read more →Frequently Asked Questions
Common questions about FinOps - Cloud Cost Optimization.
How quickly will we see the first savings?
Quick wins (shutting down idle resources, removing orphaned resources, easy right-sizing) are implemented within 1-2 weeks with typical savings of 10-15%. Full optimization with Reserved Instances and Savings Plans delivers 30-40% savings within 2-3 months.
Does FinOps work for multi-cloud (AWS + Azure + GCP)?
Yes. We implement FinOps practices regardless of platform - AWS, Azure, GCP, or multi-cloud. Cost dashboards consolidate spending from all providers in a single view.
What does the Managed FinOps service include?
Monthly spending reviews and optimizations, waste and cost anomaly monitoring, reservation management (RI/SP), and monthly reports for the CFO with recommendations. Cost from 5,000 PLN/month.
Do we need to change our application architecture to save money?
Not initially. Most savings come from right-sizing, scheduling (shutting down dev/test outside working hours), and commitments (RI/SP). Architectural changes (spot instances, serverless) are the next stage for those interested.
How do you ensure that optimization doesn't degrade performance?
We analyze CPU, RAM, and I/O metrics from a minimum of 2 weeks before recommending right-sizing. Changes are implemented gradually with performance monitoring. We never reduce resources below peak utilization.