FinOps
AWS FinOps Best Practices: How to Maximize Cost Efficiency in the Cloud
Published on:
Friday, March 28, 2025
Joel Renzales
AWS cloud services offer flexibility but can also lead to high costs. Many teams deploy resources without tracking how those choices affect spending. Without cost visibility and ownership, budgets break quickly.
FinOps helps solve this. It is a practice that brings finance, engineering, and operations together. The goal is clear: manage cloud costs while keeping performance steady. Following the 2025 State of FinOps statement, lowering idle cloud resources and controlling commitments are the most critical aspects for tech companies this year.
This blog explains how to apply FinOps in AWS. It shows best practices that help teams cut waste, monitor spending, and act fast.
What Is AWS FinOps?
AWS FinOps applies financial discipline to cloud use. It focuses on tracking costs in real time and sharing responsibility across teams.
In this model:
Finance monitors budgets.
Engineers manage usage.
Operations enforce efficiency.
AWS supports FinOps with tools like Cost Explorer, Budgets, and Resource Groups. These tools help teams see what they use and how much it costs.
FinOps is not a single task. It is a process that teams repeat:
Inform – Get visibility into cloud usage.
Optimize – Find and remove waste.
Operate – Keep costs efficient as usage grows.

This loop helps teams react to changes fast and control spend at every stage.
AWS FinOps Best Practices For Efficient Cloud Waste Control
Organizations apply these seven AWS FinOps best practices to gain visibility, reduce waste, and manage costs effectively, without impacting performance. Each step supports smarter usage and stronger financial control across teams.
1. Establish Real-Time Cost Visibility
Teams cannot control costs if they lack visibility. Real-time insight into AWS usage is the first step in applying FinOps. Without it, cloud spending can grow without warning.
Start with Native AWS Tools
Start with AWS Cost Explorer. This tool breaks down usage by service, linked account, and time. You can filter by tags, regions, or usage type. Cost Explorer helps teams see trends and find high-spend areas fast.
Set up AWS Budgets to create spending thresholds. Use them to track actual vs. forecasted spending. Budgets send alerts when usage nears or exceeds limits, preventing surprises at the end of the month.
Additionally, enable AWS Cost Anomaly Detection. It uses machine learning to catch unusual spikes. When AWS detects an unexpected charge, it alerts the right person. This helps teams act before the cost gets worse.
Tagging
Also, tagging is critical. Use tags to group resources by team, environment (prod, dev, test), or product. Tags let you assign costs accurately. Without tags, spend gets mixed across services, making it hard to trace.
Custom Dashboards
Build custom dashboards using tools like QuickSight or third-party options. These dashboards should update daily and show usage trends clearly. Share them with engineering, finance, and operations teams. When all teams see the same data, decisions get faster.
Real-time cost visibility is not just about monitoring—it creates accountability. When teams see their actual usage and its cost, they think before scaling or provisioning. This awareness is a core goal of AWS FinOps.
2. Use Account Structure for Better Governance
Organize with AWS Organizations
Use AWS Organizations to group and manage multiple accounts. This allows you to apply policies, share billing, and centralize management. Separate accounts by environment (prod, dev, test) or by department (engineering, marketing, finance).
This separation improves visibility. Also, it limits risk. For example, a cost spike in a test account won’t impact production. Teams can be held responsible for spending in their accounts.
Leverage Linked Accounts and Consolidated Billing
With consolidated billing, AWS combines charges across accounts but offers volume discounts. Each team or business unit gets its own linked account. You gain one master invoice while keeping cost separation by account.
This structure simplifies chargeback and showback. You can assign spending to the right teams based on actual usage, not estimates.
Apply Service Control Policies (SCPs)
Service Control Policies limit what services or actions accounts can use. Use SCPs to enforce boundaries. For example, block expensive instance types in test environments or limit high-cost services to approved accounts.
SCPs help prevent overspending before it starts. They ensure teams follow guidelines without needing manual reviews.
Use Organizational Units (OUs) for Better Management
Group accounts into Organizational Units (OUs) by team or function. This allows you to apply different guardrails to each group. For example, finance may have stricter access controls than development.
OUs give flexibility. They let you scale account governance without losing control.
3. Implement Cost Allocation and Tagging Best Practices
Define a Clear Tagging Strategy
Tagging lets you group resources by purpose. Start with a defined tagging policy. Common tags include:
Project
Team
Environment
Owner
CostCenter

Make these tags mandatory. Consistent tagging helps track costs, assign budgets, and improve reports.
Automate Tagging at Scale
Use tools like AWS Tag Editor, Service Catalog, or Infrastructure as Code (IaC) tools like Terraform and CloudFormation to automate tagging. This ensures that all new resources follow the tagging policy.
Avoid manual tagging—it leads to errors and gaps. Automation keeps the system consistent.
Use Tag Policies to Enforce Naming Rules
Tag policies in AWS Organizations help enforce tagging standards. These policies can:
Require specific tag keys
Restrict values (e.g., only allow approved team names)
Detect missing tags across accounts
This step ensures every team uses tags the same way, making reports more accurate.
Enable Cost Allocation Tags in AWS Billing Console
Tagging alone is not enough. You must activate tags in the Billing and Cost Management Console. Only then will AWS include them in cost reports. Review and enable your active tags under Billing > Cost Allocation Tags. This step connects your tags to your spending data.
Use Tags for Chargeback and Showback
Tags make it easy to assign costs to teams or projects. With good tagging, you can build chargeback models (teams pay for usage) or showback models (teams see usage but don’t pay). This visibility improves accountability. Teams become more aware of cost when they see exactly what they use.
Why Tagging Supports FinOps Success
Tagging enables detailed tracking without adding manual steps. When done right, it helps you answer critical questions:
Who is using this service?
Why did this cost increase?
Which projects consume the most resources?
Strong tagging is a key part of any AWS FinOps strategy.
4. Optimize AWS Compute Costs with Strategic Purchasing
Model | When to Use It | Pros | Cons |
On-Demand | For unpredictable workloads | No commitments | Expensive |
Reserved Instances / Savings Plans | For steady workloads | Big discounts (30–70%) | Requires forecasting |
Spot Instances | For fault-tolerant tasks | Cheapest option | Can be interrupted anytime |
Use Savings Plans for Steady Workloads
AWS Savings Plans offer discounted rates in exchange for a usage commitment over 1 or 3 years. They apply to a broad set of services like EC2, Fargate, and Lambda.
Choose Compute Savings Plans for maximum flexibility. Choose EC2 Instance Savings Plans if you know the instance family and region you’ll use. If not, select Cloudidr for up to 40% compute savings without any contracts or fees.
Apply Savings Plans to steady, predictable workloads like web servers or backend processing tasks.
Buy Reserved Instances When Usage Is Fixed
Reserved Instances (RIs) also provide discounts for long-term usage. Unlike Savings Plans, RIs are tied to specific instance types and regions.
Use RIs for environments with stable, 24/7 demand, like production databases or fixed workloads. RIs offer up to 75% off on-demand rates but require precise planning.
Leverage Spot Instances for Flexible Workloads
Spot Instances use spare AWS capacity at a lower cost—up to 90% off. They are ideal for fault-tolerant, stateless workloads.
Examples include:
Batch processing
Test environments
Containerized workloads on ECS or EKS
Monitor interruption frequency and use Spot with auto-recovery scripts or managed services like EC2 Auto Scaling.
5. Automate Rightsizing and Scheduling
Schedule Non-Production Resources
Not all workloads need to run 24/7. Development, testing, and staging environments often run during business hours only.
Use AWS Instance Scheduler to turn off these resources during off-hours. You can define schedules by day and time. This reduces runtime and saves cost without manual effort.
Enable Auto Scaling for Dynamic Workloads
Set up Auto Scaling Groups to adjust capacity based on demand. When traffic increases, instances scale out. When demand drops, instances scale in.
This ensures you use only what you need. Pair auto scaling with CloudWatch alarms to trigger actions based on CPU, memory, or custom metrics.
Use Elastic Load Balancing to Distribute Load Efficiently
Elastic Load Balancers (ELB) help you route traffic efficiently across instances. When combined with Auto Scaling, ELB ensures performance without overprovisioning. This setup supports both cost control and availability.
Automate Cleanup of Idle Resources
Use Lambda functions or automation scripts to detect and remove unused resources. Examples include:
Detached EBS volumes
Unused Elastic IPs
Idle RDS instances
These small savings add up over time and reduce clutter in your AWS environment.
Apply Rightsizing with Compute Optimizer
Regularly review suggestions from AWS Compute Optimizer. It uses actual usage data to recommend smaller or better-suited instance types. Automate the execution using Infrastructure as Code tools to standardize changes across environments.
6. Monitor and Adjust Based on Unit Economics
Measure cloud spend by unit, such as cost per user, cost per API call, or cost per transaction. These metrics link usage to business value.
Assign each product team a set of KPIs tied to cloud usage. This creates accountability and helps teams focus on cost efficiency, not just delivery speed.
Review KPIs monthly or quarterly. Compare them against targets. If the cost per unit rises without a performance gain, investigate and optimize.
Why This Matters? Unit economics make cloud spend easier to justify. It turns cost data into business data, helping leaders make clearer decisions.
7. Build a Cross-Functional FinOps Practice
Create a small team that includes people from finance, engineering, and operations. This group owns the cloud cost strategy, reporting, and coordination across departments.
Engineers manage usage. Finance tracks budgets. Product managers link spend to outcomes. Each team has a role. The FinOps team connects them.
That said, review your spending every month. Use dashboards to share results. Discuss what worked, what changed, and where to improve. Keep meetings short and focused.
AWS tools alone don’t drive savings. People do. A dedicated team builds habits, enforces accountability, and ensures cost control becomes part of daily operations.
How Cloudidr Complements Your AWS FinOps Strategy
Cloudidr helps teams reduce AWS compute costs by up to 40%, without long-term commitments or extra tools. Cloudidr FinOps brings cloud cost optimization and FinOps consulting to increase savings and reduce waste.
No Contracts. No Fees. No Code Changes: You get savings directly in your AWS account. There’s no need to sign multi-year deals, change your code, or pay percentage-based fees.
Keep Full Control of Your Infrastructure: Cloudidr delivers compute resources into your existing setup. You don’t lose visibility or control. Everything stays where it is—just cheaper.
Supports Real-Time Cost Goals: Cloudidr works with your current FinOps tools and processes. It helps teams act fast, lower spend, and keep performance high—no delays, no disruption.
Conclusion
AWS FinOps is not a one-time fix. It’s a way to run your cloud operations with cost in mind. The best results come when teams combine tools, automation, and shared responsibility. Start with visibility. Improve with structure. Optimize with smart purchasing and automation. And drive results by making FinOps a team habit.
Cut AWS Compute Costs Without Losing Control!
Want savings now? Cloudidr helps you cut AWS compute costs—fast, simple, and without lock-in. Book a free consultation or visit CloudiDR FinOps to see how we help FinOps teams go further.