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Microsoft Azure

Azure Cost Optimization Services

Find and remove waste in your Azure estate, commit to discounts with confidence, and give every team visibility into the cost of what it runs.

Spend Less on Azure Without Slowing Teams Down

Azure bills tend to grow quietly: development environments left running over weekends, virtual machines sized for peaks that never come, premium disks on idle servers, log data retained far longer than needed, and commitments bought for workloads that later moved. Microsoft provides strong tooling in Microsoft Cost Management and Azure Advisor, but recommendations only turn into savings when someone owns them and engineers have time to act.

Hanoi Technology applies FinOps practices, as described by the FinOps Foundation, to your Azure estate. We establish cost visibility by team and product, deliver quick savings, plan reservations and savings plans from real usage, and fix the architectural causes of overspending so savings last.

The Challenge

Why Azure Costs Get Out of Hand

Cost problems are rarely technical alone; they come from missing ownership and visibility.

No Clear Cost Ownership

Without consistent tagging and subscription structure, spend cannot be attributed to teams or products, so nobody feels responsible for reducing it.

Overprovisioned Resources

VMs, App Service plans, databases and disks are often sized during migration based on on-premises capacity and never revisited.

Commitment Uncertainty

Teams hesitate to buy reservations or savings plans because they fear workloads will change, leaving significant discounts unused.

Hidden Costs in Data and Logs

Log Analytics ingestion, egress traffic, storage transactions and backup retention grow silently and rarely appear in rightsizing reports.

Business Value

What Azure Cost Optimization Delivers

Immediate Savings from Waste Removal

Unattached disks, idle public IPs, orphaned snapshots and unused environments are identified and removed in the first weeks.

Lower Unit Costs Through Commitments

Azure Reservations and the Azure savings plan for compute reduce rates for steady workloads when purchased on the basis of real usage data.

License Reuse

Azure Hybrid Benefit applies eligible Windows Server and SQL Server licenses, and Dev/Test pricing can lower costs for non-production subscriptions where eligible.

Transparent Showback

Cost dashboards by team, product and environment let leaders see the cost of each service and engineers see the effect of their decisions.

Predictable Budgets

Budgets, anomaly alerts and forecasts in Cost Management warn owners before spending exceeds plans.

Architecture That Scales Efficiently

Autoscaling, serverless options, storage tiering and Spot VMs match capacity to demand rather than to worst-case peaks.

Cost Is an Engineering Metric

The cheapest resource is the one designed to scale down when it is not needed. Sustainable savings come when cost is visible in the same dashboards as performance and reliability, and teams treat it as part of quality.

Our Services

Hanoi Technology’s End-to-End Azure Cost Optimization Services

A FinOps practice for Azure, from first assessment to continuous optimization.

Azure Cost Assessment

We analyze billing data, resource utilization, Advisor recommendations and commitment coverage to quantify savings opportunities and their effort.

  • Cost baseline
  • Savings opportunity register
  • Quick-win plan

Cost Allocation and Visibility

We design tagging standards, enforce them with Azure Policy, configure Cost Management views and exports, and build Power BI or FinOps hub reports for showback.

  • Tagging policy
  • Cost allocation model
  • Showback dashboards

Rightsizing and Cleanup

We rightsize VMs, databases and App Service plans based on utilization, remove orphaned resources and schedule non-production environments to stop outside working hours.

  • Rightsizing changes
  • Cleanup scripts
  • Start and stop schedules

Commitment Planning

We model reservation and savings plan purchases using historical usage, recommend terms and scopes, and monitor utilization afterward.

  • Commitment recommendations
  • Coverage and utilization reports
  • Renewal calendar

Architecture Optimization

We redesign costly patterns, for example moving batch jobs to Azure Container Apps or Functions, tiering storage, reducing log ingestion or optimizing Fabric capacity usage.

  • Architecture recommendations
  • Implemented changes
  • Before and after cost comparison

Ongoing FinOps Service

We run monthly cost reviews with your teams, track savings achieved and keep policies and dashboards current as your estate changes.

  • Monthly FinOps report
  • Updated savings register
  • Anomaly investigation

Our Approach

Our Azure FinOps Approach

Follows the FinOps lifecycle of inform, optimize and operate.

  1. 01

    Collect and Analyze

    We gain read access to billing and resource data, export cost details and analyze trends, anomalies and utilization.

    Deliverables: Cost data model · Trend analysis

  2. 02

    Inform Stakeholders

    We establish allocation by team and product and share a clear picture of where money goes.

    Deliverables: Showback dashboards · Stakeholder briefing

  3. 03

    Deliver Quick Wins

    We remove waste and apply low-risk changes such as shutdown schedules, disk tier changes and Azure Hybrid Benefit.

    Deliverables: Quick-win savings report · Change log

  4. 04

    Optimize Structurally

    We rightsize, purchase commitments and implement architecture changes in agreed priority order.

    Deliverables: Rightsizing and commitment changes · Architecture improvements

  5. 05

    Operate Continuously

    Budgets, alerts and monthly reviews prevent costs from creeping back.

    Deliverables: Budgets and alerts · Monthly review cadence

Use Cases

Azure Cost Optimization Use Cases

Common situations where we find substantial savings potential.

Post-Migration Rightsizing

After a lift-and-shift migration, VMs sized to on-premises specifications are rightsized based on several weeks of real utilization.

Non-Production Scheduling

Development and test environments are shut down automatically at night and on weekends, with self-service start for engineers who need them.

Log Analytics Cost Control

Log tables are reviewed, verbose diagnostics reduced and basic or auxiliary log plans applied where suitable for low-value data.

Reservation Portfolio Review

Underused reservations are exchanged or rescoped, and a savings plan covers variable compute across regions and VM families.

Storage Lifecycle Management

Blob storage lifecycle policies move older data to cool, cold or archive tiers automatically.

Fabric and Power BI Capacity Tuning

Fabric capacity usage is analyzed with the Capacity Metrics app, refreshes are rescheduled and heavy workloads optimized to avoid scaling up.

Technology

Azure FinOps Tooling

Native tools and proven frameworks we use to manage Azure spend.

  • Microsoft Cost Management
  • Azure Advisor
  • Azure Reservations
  • Azure Savings Plan for Compute
  • Azure Hybrid Benefit
  • Azure Spot Virtual Machines
  • Azure Policy
  • Azure Resource Graph
  • FinOps Toolkit
  • FinOps Hubs
  • FOCUS Cost Exports
  • Azure Monitor
  • Power BI
  • Azure Automation

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.

−25%operational costs

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.

Read the Full Story

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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.

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Resources

Featured Resources

Industry trends and practical guidance to help you get more value from data, AI and technology.

Find Out What You Could Save on Azure

Book a free consultation to discuss your Azure spend and goals. We will explain how a cost assessment works and what read-only access we need to get started.

Azure Cost Optimization FAQ

How much can we save on Azure?

It depends on how your estate was built and how actively it has been managed. Environments migrated quickly without rightsizing, or without commitment purchases, usually offer more potential than mature ones. We avoid quoting a percentage before looking at your data. After an initial assessment we provide a savings register that lists each opportunity, its estimated monthly value, effort and risk, so you can decide what to pursue.

What access do you need?

For the assessment we need read-only access: typically the Cost Management Reader and Reader roles on relevant scopes, plus billing account access or cost exports for commitment analysis. We do not need permission to change resources at this stage. When you approve changes, we agree on how they will be made, either by our team with time-limited elevated access or by your engineers following our recommendations.

Should we buy reservations or a savings plan?

Reservations offer deeper discounts for specific resource types, sizes and regions that you expect to run steadily, and they also cover services such as databases and storage. The Azure savings plan for compute applies an hourly commitment across eligible compute services, regions and VM families, giving more flexibility. Many organizations combine both. We model options on your actual usage before recommending a mix.

Will cost optimization affect performance?

Not if done carefully. Rightsizing decisions are based on utilization over representative periods, including month-end or seasonal peaks, and changes are tested in non-production first where possible. We monitor performance after every change and roll back if needed. Many optimizations, such as removing orphaned resources or applying Azure Hybrid Benefit, have no effect on performance at all.

How do you make savings last?

Savings erode when no one watches. We put guardrails in place: tagging enforced by Azure Policy, budgets and anomaly alerts, dashboards that show each team its own spend, and a monthly review cadence. We also address architectural causes, such as fixed-size compute for variable workloads, so new deployments follow cost-efficient patterns from the start.

How is this engagement priced?

We offer fixed-scope assessments, project-based optimization work and ongoing FinOps as a managed service. The effort depends mainly on the number of subscriptions, the variety of services in use and how many changes you want us to implement. We agree scope and pricing upfront and report savings achieved against the baseline, so results are transparent.