Amazon Web Services
AWS Cost Optimization Services
Cut waste, buy commitments with confidence and give every team clear visibility of what its AWS workloads cost.
Pay for the AWS You Actually Need
AWS costs grow for predictable reasons: instances sized for peak loads that rarely occur, development environments running around the clock, unattached EBS volumes and old snapshots, NAT gateway and data transfer charges nobody planned for, and Savings Plans that no longer match usage. AWS offers strong tools, including AWS Cost Explorer, Cost Optimization Hub, AWS Compute Optimizer and AWS Budgets, but recommendations only become savings when someone owns them.
Hanoi Technology applies FinOps practices to your AWS estate. We establish cost allocation across accounts and teams, remove waste quickly, rightsize with evidence, plan Savings Plans and Reserved Instances on real usage and fix the architectural patterns that keep costs high.
The Challenge
Why AWS Bills Keep Growing
Cost issues usually come from missing ownership as much as from technology choices.
Spend Without Owners
Without tagging standards and cost categories, spend cannot be assigned to products or teams, so nobody is accountable for it.
Oversized and Idle Resources
EC2 instances, RDS databases and EBS volumes sized during migration stay oversized, and idle resources run unnoticed.
Commitment Mismatch
Savings Plans and Reserved Instances bought years ago no longer fit current workloads, while new steady workloads run at on-demand rates.
Hidden Network and Data Costs
Cross-AZ traffic, NAT gateway processing, CloudWatch Logs ingestion and S3 request charges grow quietly and are rarely reviewed.
Business Value
What AWS Cost Optimization Delivers
Fast Waste Reduction
Idle instances, unattached volumes, old snapshots and unused Elastic IP addresses are found and removed in the first weeks.
Lower Rates on Steady Usage
Compute Savings Plans, EC2 Instance Savings Plans and Reserved Instances reduce rates for predictable workloads when sized on evidence.
Better Price Performance
Graviton-based instances, current-generation instance families and gp3 volumes often deliver the same performance for less.
Cost Visibility by Team
Cost categories, tags and dashboards from AWS Data Exports show spend by product, team and environment.
Early Warning on Anomalies
AWS Cost Anomaly Detection and AWS Budgets alert owners when spend deviates from expectations.
Efficient Architectures
Autoscaling, Spot Instances, serverless services and S3 storage classes match capacity and storage to actual demand.
Make Cost a Shared Engineering Metric
Sustainable savings come when engineers see the cost of their services next to latency and error rates, and when finance understands the drivers behind the numbers. FinOps is the practice of bringing those views together.
Our Services
Hanoi Technology’s End-to-End AWS Cost Optimization Services
A complete FinOps practice for AWS environments.
AWS Cost Assessment
We analyze cost and usage data, Cost Optimization Hub and Compute Optimizer recommendations, Trusted Advisor checks and commitment coverage to quantify opportunities.
- Cost baseline
- Savings opportunity register
- Quick-win plan
Cost Allocation and Reporting
We define tagging standards, enforce them with tag policies and service control policies, set up cost categories and build dashboards from Data Exports and CUR 2.0 or FOCUS data.
- Tagging standard
- Cost categories
- Showback dashboards
Rightsizing and Cleanup
We rightsize EC2, RDS, EBS and container workloads, remove orphaned resources and schedule non-production environments.
- Rightsizing changes
- Cleanup automation
- Instance scheduling
Commitment Management
We model Savings Plans and Reserved Instances against historical usage, recommend purchase amounts and terms and track utilization and coverage.
- Commitment purchase plan
- Coverage reports
- Renewal calendar
Architecture Optimization
We address structural cost drivers, such as moving to Graviton, adopting Spot for fault-tolerant workloads, reducing data transfer, optimizing storage classes and right-sizing logging.
- Architecture recommendations
- Implemented improvements
- Cost impact report
Ongoing FinOps Service
We run monthly cost reviews, maintain dashboards and alerts, investigate anomalies and keep the savings register current.
- Monthly FinOps report
- Anomaly investigations
- Updated savings register
Our Approach
Our AWS FinOps Approach
Built around the FinOps lifecycle of inform, optimize and operate.
- 01
Gain Visibility
We set up read-only access, configure data exports and analyze spend across accounts, services and tags.
Deliverables: Cost data model · Spend analysis
- 02
Allocate and Inform
We attribute costs to teams and products and share clear reports with engineering and finance stakeholders.
Deliverables: Allocation model · Stakeholder reports
- 03
Capture Quick Wins
We remove waste and implement low-risk changes such as gp3 migration, instance scheduling and snapshot cleanup.
Deliverables: Quick-win savings · Change log
- 04
Optimize Deeply
We rightsize, purchase commitments and implement architectural changes in order of value and risk.
Deliverables: Optimization changes · Commitment purchases
- 05
Operate Continuously
Budgets, anomaly detection and monthly reviews keep costs aligned with value.
Deliverables: Budgets and alerts · Review cadence
Use Cases
AWS Cost Optimization Use Cases
Situations where we typically find savings.
Post-Migration Rightsizing
Instances migrated with on-premises sizing are rightsized using Compute Optimizer recommendations and several weeks of CloudWatch metrics.
Graviton Adoption
Containerized and interpreted-language workloads move to Graviton-based instances after compatibility and performance testing.
Non-Production Scheduling
Development and staging environments stop outside working hours automatically, with on-demand start for engineers.
Spot for Batch and CI
Batch processing and CI build agents run on Spot Instances with interruption handling, reducing compute costs.
Data Transfer Reduction
VPC endpoints for S3 and DynamoDB, and architecture changes to reduce cross-AZ traffic, cut NAT gateway and transfer charges.
Storage Tiering
S3 Intelligent-Tiering and lifecycle rules move infrequently accessed data to lower-cost storage classes automatically.
Technology
AWS Cost Management Tools
Native AWS tools and open standards we use.
- AWS Cost Explorer
- Cost Optimization Hub
- AWS Compute Optimizer
- AWS Budgets
- AWS Cost Anomaly Detection
- AWS Data Exports
- CUR 2.0
- FOCUS
- Savings Plans
- Reserved Instances
- Amazon EC2 Spot Instances
- AWS Graviton
- AWS Trusted Advisor
- S3 Intelligent-Tiering
- AWS Organizations
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Logistics
Route optimization and fleet visibility for a regional logistics company
A regional delivery company handling thousands of shipments a day was planning routes and dispatching by hand. We built dynamic route optimization, a fleet dashboard and a driver app.
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Food delivery
+58%total ordersAI dispatch and live tracking for a food delivery startup
A fast-growing urban food delivery startup was losing customers to slow deliveries at peak times. We built AI order dispatching and connected restaurants, drivers and customers in real time.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
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OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
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See Where Your AWS Spend Is Going
Book a free consultation to discuss your AWS costs and goals. We will explain how an assessment works and which read-only access we need to begin.
AWS Cost Optimization FAQ
How much can we save on AWS?
Savings potential depends on how your environment was built and managed. Estates migrated quickly without rightsizing, with no commitment strategy or with uncontrolled non-production environments usually offer the most opportunity. We avoid promising percentages before reviewing your data. After the assessment, you receive a savings register listing each opportunity with estimated monthly value, effort and risk, so you can prioritize.
What access do you need?
For the assessment we need read-only access to billing and cost data, typically through an IAM role in the management account with Cost Explorer, Cost Optimization Hub and billing read permissions, plus read access to member accounts for resource analysis. We do not change resources during assessment. Implementation changes are agreed in advance and made either by our engineers with scoped access or by your team.
Savings Plans or Reserved Instances?
Compute Savings Plans offer flexibility across EC2 instance families, regions, Fargate and Lambda, while EC2 Instance Savings Plans offer deeper discounts for a specific family and region. Reserved Instances remain relevant for services such as Amazon RDS, ElastiCache, OpenSearch Service and Redshift. We analyze usage and recommend a layered approach that balances discount depth against flexibility.
Will optimization affect performance or reliability?
Not when done carefully. We base rightsizing on utilization over representative periods, including peaks, test changes in non-production environments first and monitor after each change. Moves to Graviton are preceded by compatibility and performance testing. Many optimizations, such as deleting unattached volumes or moving to gp3, have no performance impact or improve it.
How do you prevent costs from rising again?
We build guardrails: tag policies and service control policies, budgets with alerts to owners, Cost Anomaly Detection, dashboards that show each team its own spend, and regular reviews. We also address architecture patterns that cause recurring waste, and provide reference templates so new workloads start with cost-efficient defaults such as autoscaling, gp3 volumes and appropriate instance families.
How is a cost optimization engagement structured?
We typically start with a fixed-scope assessment, followed by an implementation phase for agreed savings, and optionally an ongoing FinOps service with monthly reviews. Effort depends on the number of accounts, variety of services and how many changes we implement ourselves. We agree scope and pricing upfront, and report savings achieved against the baseline so results are transparent.