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How to Find Underutilized and Orphaned Azure Resources with Azure Advisor and Cost Management

 FinOps Guide

Azure AdvisorCost ManagementResource Graph

How to Find Underutilized and Orphaned Azure
Resources with Azure Advisor and Cost Management

Azure Advisor will find your unattached disks and oversized VMs, and it'll stop right there. It won't find the disk snapshot whose parent disk was deleted eighteen months ago, the empty resource group still accumulating charges, or the stopped VM whose "off" compute is quietly overshadowed by a disk that never stopped billing. Advisor is the first pass, not the whole audit — and knowing exactly where it stops looking is what actually finds the rest of the waste.

25-35% of spend
Industry studies consistently estimate this share of cloud spending goes to unused or underutilized resources
Advisor is manual
Advisor is explicitly point-in-time — it surfaces recommendations but takes no action; someone still has to act on every one
Stopped ≠ free
A stopped VM's compute charges pause, but its attached disk keeps billing regardless — a commonly missed distinction
8-24 hour delay
Billing data takes roughly 8-24 hours to reach Cost Management after a resource actually incurs the charge

Every Azure subscription accumulates waste quietly, the same way every house accumulates clutter — not through one dramatic mistake, but through a hundred small, individually-reasonable decisions that never got cleaned up. A test VM spun up for a two-day experiment eight months ago. A disk left behind when its VM was deleted, because deleting the disk was a separate click nobody made. A public IP reserved for a project that got cancelled. None of these show up as an alarming line item — each one is a few dollars a month — but industry studies consistently put the aggregate at 25-35% of total cloud spend. Azure Advisor is the right place to start finding this waste, and it's also, provably, not the whole answer: it's explicitly described in Microsoft's own positioning as point-in-time and manual, and it has documented gaps in what it actually surfaces. This guide covers what Advisor catches, precisely what it misses, and the tools that close that gap.

Figure 1 — Three tools, three different jobs, none of them the whole picture alone
EACH TOOL ANSWERS A DIFFERENT QUESTION — using only one leaves real gapsAZURE ADVISOR"What SHOULD I fix?"Curated recommendations,common patterns onlyPoint-in-time, manual actionrequired, misses edge casesCOST MANAGEMENT"WHERE is the money going?"Spend visibility, budgets,trends, anomaly detectionShows spend, doesn't identifyWHICH resources are orphanedRESOURCE GRAPH"Show me EXACTLY this pattern"Custom KQL queries acrossthe whole tenantFinds what Advisor misses -requires knowing what to look forAdvisor for the common, well-understood patterns. Cost Management to confirm the dollarimpact and catch anomalies. Resource Graph for the specific categories Advisor's curated list doesn't cover.
Each of the three tools answers a genuinely different question, and none of them alone gives a complete picture. Azure Advisor's curated recommendations catch the well-known, common waste patterns automatically, but require manual action and don't cover every category. Cost Management shows where spend is going and flags anomalies, but doesn't identify specifically which resources are orphaned. Azure Resource Graph can find exactly the pattern you specify with a custom query — including the categories Advisor's curated list doesn't cover — but only if you know what to look for.
01Three Tools, Three Different JobsFramework

Before diving into specific waste categories, it's worth being precise about what each tool is actually for — using only one, and expecting it to do the job of all three, is the most common reason orphan-hunting efforts stall out after the first easy pass.

ToolAnswersLimitation
Azure AdvisorWhat should I fix, based on common, well-understood waste patterns?Point-in-time, manual action required, doesn't cover every orphan category
Cost Management + BillingWhere is spend going, and is anything trending unexpectedly?Shows spend by resource/service/tag, but doesn't itself identify which specific resources are orphaned
Azure Resource GraphShow me every resource matching this exact pattern, across the whole tenantRequires knowing what pattern to query for — it's a search tool, not a curated recommendation engine

The practical workflow this implies: use Advisor as the first, automated pass for the well-known patterns, use Cost Management to confirm dollar impact and catch spend anomalies that hint at something new going wrong, and use Resource Graph queries specifically for the categories Sections 3-4 identify as commonly missed by Advisor's curated recommendations.

02What Azure Advisor Actually CatchesFoundation

Advisor scans resource configuration and usage telemetry across five categories (cost, security, reliability, performance, operational excellence), and its cost recommendations specifically cover a well-defined, genuinely useful set of common patterns.

Recommendation typeWhat it identifies
Right-sizing / underutilized VMsVMs oversized relative to actual CPU, memory, and network utilization over roughly 7-14 days
Unattached managed disksDisks not currently attached to any VM but still incurring charges
Idle public IPsPublic IP addresses not associated with any active resource
Idle Load Balancers / Application GatewaysResources provisioned but handling no meaningful traffic
Unused ExpressRoute circuitsCircuits provisioned but never actually connected
Reserved Instance / Savings Plan opportunitiesSteady-usage resources that would benefit from a commitment discount
Reservations approaching expiryExisting commitments nearing their term end, flagged for renewal decisions

Each recommendation includes the specific affected resource, a description of the issue, estimated savings (typically annualized), and a recommended action — genuinely actionable, not vague guidance. For the categories it covers, Advisor is free, requires no setup, and should be the very first place anyone starts.

03The Correction: What Advisor Misses, and WhyCorrection

This is the point worth stating plainly, because most cost-optimization content treats Advisor as a complete solution: it isn't, and current guidance is explicit that Advisor "does not catch everything." The gap isn't a flaw in Advisor — it's a scope limitation, and knowing the specific shape of that gap is what determines whether an orphan-hunting effort actually finds all the waste.

Category Advisor commonly missesWhy it's missed
Orphaned disk snapshots (parent disk deleted)Not part of Advisor's curated pattern set — requires an explicit search for snapshots without an existing parent
Empty resource groups still accumulating minor chargesNo single "wasteful" resource configuration to flag — the waste is structural, not resource-level
Stopped VMs with disks still attached and billingThe VM itself shows as stopped (not actively wasteful); the disk continuing to bill isn't always surfaced as connected to that stopped state
Idle NAT GatewaysNot part of Advisor's default curated recommendation set
Log Analytics workspaces over-retaining dataA configuration choice (default 90-day retention across all tables), not a "broken" resource Advisor's pattern matching flags
Idle SQL databases / App Service plans with zero real trafficRequires correlating connection counts and request telemetry over a sustained period — narrower pattern than Advisor's default VM-focused checks
"Stopped" is the single most consequential misconception this section corrects

A VM that's been stopped (not deallocated) — or even a properly deallocated VM whose disk was never cleaned up — stops incurring compute charges, but its attached managed disk keeps billing regardless of the VM's power state. This is a genuinely common, expensive misconception: teams "save money" by stopping a VM and assume the resource is now cost-neutral, when in reality the disk (often the larger cost component for anything beyond a small VM) is still accruing charges every single day the VM stays stopped rather than actually deleted or the disk detached and removed.

This gap is precisely why Cost Management and Resource Graph earn their place alongside Advisor, not instead of it

None of this is a case against using Advisor — it remains the correct first step, free and immediately actionable for the categories it covers. The correction is narrower and more useful than "don't trust Advisor": know specifically which categories fall outside its curated pattern set, and have a second tool (Resource Graph, covered in Section 5) ready to search for exactly those categories deliberately, rather than assuming a clean Advisor dashboard means a clean environment.

Figure 2 — Five waste categories, each with a specific, checkable signature in consumption data
MOST AZURE WASTE FALLS INTO FIVE CATEGORIES — each one has a specific pattern to search for1. RIGHT-SIZE GAPSSignature: sustained low CPU/memory utilization over 7-14+ days on a provisioned VM size2. MISSED RESERVATIONSSignature: steady, predictable usage still billing at full pay-as-you-go rate3. IDLE RESOURCESSignature: provisioned and billing, but zero or near-zero traffic/connections/requests4. ORPHAN RESOURCESSignature: no parent/attachment relationship exists at all (snapshot with no disk, disk with no VM)5. MISSING GOVERNANCESignature: no owner tag, no environment tag - nobody accountable to notice or decommission itIdle and orphan resources are the fastest wins - no architecture change, no business sign-off, just deletion.
Most Azure waste sorts cleanly into five categories, each with a distinct signature checkable in consumption and configuration data: right-size gaps (utilization data), missed reservations (usage stability data), idle resources (traffic/connection data), orphan resources (relationship/attachment data), and missing governance (tag data). Idle and orphan resources are specifically the fastest category to act on — they require no architecture change and no business-owner sign-off beyond confirming the resource genuinely has no active use.
04The Five Waste Categories and Their Specific SignaturesFramework

Current industry guidance consistently sorts Azure waste into five categories, and treating each by its specific detection signature — rather than hunting for "waste" generically — is what makes the search systematic rather than ad hoc.

Resource typeDetection signature
Stopped VMsPowered off for 30+ days with no scheduled restart — flag for owner confirmation and a decommission window
Unattached disksNo VM association at all — the cleanest, lowest-risk deletion candidate in the entire list
Idle SQL databasesConnection count and CPU utilization at or near zero for 30+ consecutive days
Idle App Service plansNo incoming requests, no scheduled jobs, no meaningful traffic over a sustained window
Orphan snapshots and backupsNo parent resource exists — after an appropriate grace period to rule out an in-progress migration or recovery scenario
Unassociated public IPsNo attachment to a load balancer, VM, or gateway — pure, unambiguous waste
Idle and orphan resources deserve priority specifically because they're low-risk, not just because they're common

Right-sizing and missed reservations both require judgment calls — is this VM's low utilization because it's oversized, or because it's a disaster recovery standby that needs to scale instantly during failover? Idle and orphan resources don't carry that ambiguity: a disk attached to nothing, a snapshot whose parent no longer exists, a public IP bound to nothing — these require essentially no architectural judgment, only confirmation that the resource genuinely has no active use. This is why they're consistently cited as the fastest, lowest-risk savings category to act on.

05Finding What Advisor Misses: Azure Resource GraphThe Fix

Azure Resource Graph lets you run KQL (Kusto Query Language) queries across every resource in a subscription, resource group, or entire tenant — exactly the tool for finding the specific categories Section 3 identified as commonly missed by Advisor's curated recommendations.

Azure Resource Graph — find unattached managed disksResources | where type =~ 'microsoft.compute/disks' | where properties.diskState == 'Unattached' | project name, resourceGroup, location, sizeGB = properties.diskSizeGB, sku = sku.name // Run via: az graph query -q "<query>" // or directly in the Azure portal's Resource Graph Explorer
Azure Resource Graph — find unassociated public IP addressesResources | where type =~ 'microsoft.network/publicipaddresses' | where isnull(properties.ipConfiguration) | project name, resourceGroup, location, sku = sku.name, allocationMethod = properties.publicIPAllocationMethod
Azure CLI — delete a confirmed-unassociated public IPaz network public-ip delete \ --resource-group myResourceGroup \ --name myUnusedPublicIP // Standard SKU static public IPs run roughly $3.65-4/month each. // 50 orphaned ones is $180-200/month for literally nothing.
Resource Graph is the tool for continuous, automated detection — not just one-off manual queries

Beyond running these queries manually during a periodic review, Resource Graph queries can be scheduled via Azure Automation, Logic Apps, or a simple runbook to run on a recurring cadence and output results to a report or alert — moving orphan detection from "something we remember to check quarterly" to a genuinely automated, continuous process. This is the natural next step once the manual query patterns for your specific environment's common orphan types are established.

06The Safe Deletion Discipline: Snapshot Before You DeleteBest Practice

Finding an orphaned resource is only half the job — deleting it safely, in a way that doesn't turn a cost-optimization exercise into an accidental data-loss incident, is the other half, and it deserves an explicit process rather than ad hoc judgment calls.

Resource typeRecommended safe-deletion pattern
Unattached disksSnapshot to cheap (cool/archive) storage first, then delete the original disk — preserves recoverability at a fraction of the ongoing cost
Stopped VMs (30+ days)Email the owner with a defined decommission window before deletion — confirm genuine abandonment, not a legitimate long-pause scenario
Orphan snapshots/backupsApply a grace period after confirming no parent resource exists — rules out an in-progress migration or recovery scenario still in motion
Unassociated public IPsGenerally safe to delete immediately — genuinely lower risk than compute/storage resources, since no data is at stake
The core discipline: surface, route to an accountable owner, delete on a fixed cadence — not delete-on-sight

Even for the lowest-risk categories, the recommended discipline is to surface confirmed candidates, route them to a named, accountable owner (which is exactly why the tagging practices from the broader FinOps guide matter here), and delete on a fixed, predictable cadence — not to delete immediately the moment a query identifies a candidate. This protects against the specific failure mode of an automated or hasty deletion catching a resource that looks orphaned in the data but has a legitimate reason to exist that isn't visible from configuration alone.

07Building a Weekly Review CadenceOperate

Orphan-hunting is not a one-time cleanup project — new orphaned resources accumulate continuously as teams provision, test, and forget, at roughly the same rate old ones get identified and removed if there's no ongoing review process.

  • A short, regular Advisor review. Current guidance consistently recommends a brief, scheduled review — commonly cited as roughly 20 minutes weekly — treating Advisor as a living checklist rather than a one-time setup task.
  • A monthly Resource Graph sweep for the categories Advisor misses. Run the queries from Section 5 (and any others specific to your environment's common orphan patterns) on a monthly cadence, since these categories don't surface automatically.
  • Fixed decommission windows, not indefinite "review later" states. A stopped VM flagged for owner confirmation should have a defined window (a specific number of days) before automatic escalation or deletion — an indefinite "pending review" state is where orphan-hunting efforts quietly die.
Regular review cadence compounds — industry reporting suggests a meaningful gap between weekly and quarterly review habits

Organizations that treat Advisor and orphan-hunting as a recurring, scheduled habit rather than an occasional cleanup effort are consistently reported to realize meaningfully more savings over a year than those checking quarterly — the mechanism is straightforward: waste identified and removed weekly never has months to accumulate, while quarterly reviews let three months of new orphans pile up between each check. The discipline of the cadence matters as much as the tooling used to execute it.

08Step-by-Step: A Systematic Orphan-Hunting WorkflowHow-To
  1. Start with Azure Advisor's cost recommendations tab

    Review every current recommendation — right-sizing, unattached disks, idle public IPs, idle Load Balancers/App Gateways, unused ExpressRoute circuits, and reservation opportunities. This is the fastest, free first pass.

  2. Filter and triage: act on the unambiguous, flag the judgment calls

    Delete or resize the clear-cut candidates (unattached disks, unassociated public IPs) quickly. Route anything requiring business context (a VM at 15% utilization that might be a DR standby) to the resource owner for confirmation before acting.

  3. Run Resource Graph queries for the categories Advisor doesn't cover

    Search specifically for orphaned snapshots without a parent disk, empty resource groups, idle NAT Gateways, and stopped VMs with disks still attached — the categories Section 3 identified as commonly missed.

  4. Cross-reference against Cost Management to confirm dollar impact and catch anomalies

    Use Cost Management's spend trends and anomaly detection to verify the actual cost of flagged resources and to surface any unexpected spend spike that Advisor's pattern matching wouldn't have caught as a discrete recommendation.

  5. Apply the safe-deletion discipline from Section 6 to every confirmed candidate

    Snapshot disks before deleting, apply grace periods to orphan snapshots, and route stopped-VM candidates to owners with a defined decommission window — don't delete-on-sight even for high-confidence candidates.

  6. Enforce tagging on everything that survives the cleanup

    Every resource that remains should carry an owner and environment tag going forward — untagged resources are exactly how the next generation of orphans accumulates undetected.

  7. Schedule the recurring cadence: weekly Advisor, monthly Resource Graph sweep

    Put both reviews on a calendar with a named owner, not as an informal "we should check on this sometime" intention — the cadence is what prevents the cleanup from needing to be redone from scratch a year later.

  8. Automate the Resource Graph queries once the manual patterns are established

    Move the queries from Section 5 into a scheduled Azure Automation runbook or Logic App once you've confirmed they reliably surface genuine candidates in your environment, reducing the review to confirming automated output rather than running queries from scratch each time.

09Anti-PatternsTraps
Anti-patternWhy it feels rightWhy it isn't
Treating a clean Azure Advisor dashboard as proof the environment has no waste"Advisor didn't flag anything else"Advisor has documented gaps — orphaned snapshots, empty resource groups, idle NAT Gateways, and more require a separate Resource Graph search
Assuming a stopped VM has stopped costing money"It's stopped, so it's not billing"The attached disk keeps billing regardless of the VM's power state — often the larger cost component
Deleting flagged resources immediately without a grace period or owner confirmation"The query confirmed it's orphaned, delete it"Configuration data doesn't always capture legitimate reasons a resource exists — route to an owner and apply a grace period first
Treating orphan-hunting as a one-time cleanup project"We did a big cleanup last quarter"New orphans accumulate continuously as teams provision and forget — without a recurring cadence, waste rebuilds at roughly the same rate it was removed
Running Resource Graph queries manually every time instead of automating them"It only takes a few minutes to run"Manual processes are the first thing skipped under time pressure — automate the queries once the pattern is validated, so detection doesn't depend on someone remembering
Deleting unattached disks without snapshotting first"It's not attached to anything, it's safe to remove"A snapshot to cheap storage first preserves recoverability at minimal cost — deleting outright removes any safety margin for a mistaken orphan classification

Key Takeaways

Azure Advisor is the right first step, not the whole audit. It's explicitly point-in-time and manual, and has documented gaps in what it surfaces.
A stopped VM's disk keeps billing regardless of the VM's power state. One of the most common, expensive misconceptions in this space — "stopped" doesn't mean "free."
Azure Resource Graph finds what Advisor's curated pattern set misses. Orphaned snapshots, empty resource groups, idle NAT Gateways — all require a deliberate, custom query.
Idle and orphan resources are the fastest, lowest-risk savings category. No architecture change and no business judgment call required — just confirmation the resource genuinely has no active use.
Snapshot before you delete. Preserving recoverability at minimal cost is cheap insurance against a mistaken orphan classification.
Route confirmed candidates to an accountable owner with a fixed decommission window. Don't delete-on-sight, even for high-confidence candidates.
Orphan-hunting needs a recurring cadence, not a one-time project. New waste accumulates continuously — weekly Advisor checks and monthly Resource Graph sweeps keep it from rebuilding.

Frequently Asked Questions

Does Azure Advisor find all the waste in my subscription?
No — this is an important, commonly-missed limitation. Azure Advisor covers a well-defined, genuinely useful set of common cost-optimization patterns (right-sizing, unattached disks, idle public IPs, idle load balancers, unused ExpressRoute circuits, and reservation opportunities), but it's explicitly described as point-in-time and manual, meaning it surfaces recommendations at the moment you check it and requires someone to act on every one. Beyond that, Advisor has documented gaps in the categories it covers at all — orphaned disk snapshots whose parent disk was deleted, empty resource groups still accumulating minor charges, idle NAT Gateways, and stopped VMs whose attached disks continue billing are all commonly cited as categories Advisor's curated recommendation set doesn't reliably catch. Finding these requires a separate tool — specifically, Azure Resource Graph queries built around the specific pattern you're searching for, since Resource Graph can query any resource configuration across the tenant, not just the patterns Advisor has been built to recognize automatically.
Does stopping a VM stop it from costing money?
Only partially, and this is one of the most common and expensive misconceptions in Azure cost management. Stopping (or properly deallocating) a VM does stop its compute charges — you're no longer paying for the virtual machine's processing capacity. However, the VM's attached managed disk continues to incur storage charges regardless of the VM's power state, since the disk is a separate billed resource that exists independently of whether the VM using it is running. For anything beyond a small VM, the disk can represent a meaningful fraction of the total cost, meaning a "stopped" VM that a team assumes is now cost-neutral may still be generating a real, ongoing bill purely from its attached storage. The only way to fully stop the charges is to either delete the VM and its disk entirely, or detach and separately delete the disk if it's no longer needed.
What is Azure Resource Graph, and how does it help find orphaned resources?
Azure Resource Graph is a service that lets you run KQL (Kusto Query Language) queries across every resource in a subscription, resource group, or entire tenant, returning results based on resource configuration and metadata — properties like attachment state, association status, or tag presence. This makes it the right tool specifically for finding orphaned resource categories that Azure Advisor's curated recommendation set doesn't cover: a query can search for managed disks with no VM attachment, public IP addresses with no configuration association, or any other specific pattern you define. Unlike Advisor, which surfaces a fixed, pre-built set of common patterns automatically, Resource Graph requires you to know what pattern you're looking for and write (or reuse) a query for it — but in exchange, it can find anything expressible as a query, not just the categories Advisor has been designed to recognize. Queries can be run manually via the Azure portal's Resource Graph Explorer or the CLI, or scheduled to run automatically via Azure Automation or Logic Apps for continuous, ongoing detection.
Is it safe to immediately delete resources flagged as orphaned?
Generally, no — the recommended discipline is to surface confirmed candidates, route them to an accountable resource owner for confirmation, apply an appropriate grace period, and only then delete on a fixed, predictable cadence, rather than deleting the moment a query or Advisor recommendation identifies something as a candidate. This matters because configuration data alone doesn't always capture a legitimate reason a resource exists — a disk that appears unattached might be intentionally detached and staged for a planned reattachment, or a snapshot that appears orphaned might be part of an in-progress migration or recovery scenario not yet visible in the resource's current configuration state. For unattached disks specifically, a commonly recommended safe pattern is to snapshot the disk to lower-cost storage before deleting the original, preserving recoverability at a fraction of the disk's ongoing cost. Unassociated public IP addresses are generally the lowest-risk category to delete promptly, since no data is at stake, but even there, confirming genuine non-use before deletion remains good practice.

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