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Advanced AKS troubleshooting: Workload Identity federation errors, Azure CNI IP exhaustion, stuck upgrades, autoscaler failures, and two urgent 2025/2026 support deadlines.

AKS Advanced Troubleshooting Guide: Workload Identity, CNI IP Exhaustion, and Stuck Upgrades
Advanced Troubleshooting AKS Workload Identity CNI Networking

AKS Advanced Troubleshooting Guide: Workload Identity, CNI IP Exhaustion, and Stuck Upgrades

CrashLoopBackOff and Pending pods are the failure modes every AKS tutorial covers. The problems that actually stall a mature, production cluster live one layer deeper — a federated identity token that fails validation on a single mismatched character, a subnet that runs out of IP addresses specifically during the upgrade meant to keep the cluster healthy, and a support deadline for pod identity that has already passed.

Two error signatures this guide resolves
# Workload Identity federation failure (pod logs / Entra ID sign-in logs):

  AADSTS70021: No matching federated identity record found for
  presented assertion. Please check your federated identity
  credential Subject, Audience and Issuer against the presented
  assertion.

# Cluster autoscaler / node pool scale-out failure during an upgrade:

  Error: failed to provision node - insufficient IP addresses
  available in subnet - scale operation could not complete

# Neither error originates from a broken application. Both trace to
# infrastructure-layer configuration: an OIDC issuer URL mismatch in
# the first case, subnet IP exhaustion triggered by upgrade-time
# node surge in the second.

Scope of this guide: advanced AKS failure modes beyond the standard CrashLoopBackOff/Pending/OOMKilled set — Workload Identity federation, Azure CNI IP exhaustion, and two dated deadlines (AAD Pod Identity's end of support, Azure Linux 2.0 node image removal) that are close enough to the current date to require action, not distant housekeeping.

Sept 2025
AAD Pod Identity's official end of support — already passed. Workload Identity is now the only supported approach
Character-for-character
The OIDC issuer URL in a federated credential must match the token's iss claim exactly — the most common Workload Identity failure
/24 per node
Azure CNI Overlay's pod IP allocation per node — surge nodes during upgrades still need their own block
March 31, 2026
Azure Linux 2.0 node images get removed entirely — node pools on this image can no longer scale past this date

A cluster that's cleared the usual troubleshooting checklist — pods aren't crash-looping, nothing's stuck Pending, nodes report Ready — can still fail in ways that only show up once real workloads are calling Azure APIs, real subnets are under real IP pressure, and real upgrades are running against production traffic. This guide deliberately skips the beginner-to-intermediate territory (CrashLoopBackOff, ImagePullBackOff, basic Pending pods) covered elsewhere and goes one layer deeper: the exact federation mechanics behind Workload Identity failures, the specific subnet math behind Azure CNI IP exhaustion, and a genuinely dangerous interaction between the two that surfaces specifically during node pool upgrades.

Figure 1 — The OIDC federation chain, and exactly where it breaks
FOUR HOPS - THE ISSUER URL HAS TO MATCH EXACTLY AT HOP 3 POD Mounts projected service account token AKS OIDC ISSUER Signs the JWT with the cluster's issuer URL as iss FEDERATED CREDENTIAL MUST MATCH iss EXACTLY - trailing slashes count AZURE RESOURCE Accessed with the exchanged access token THE BREAK POINT: Entra ID checks the federated credential's registered issuer URL against the token's own iss claim. If they're not character-for- character identical - a trailing slash, a copy-paste typo, a manually- constructed URL instead of the real one - the exchange fails with AADSTS70021, and the pod never gets an Azure AD access token at all.
Workload Identity's federation chain has four hops: the pod mounts a projected service account token signed by AKS's own OIDC issuer, that token is exchanged against a federated identity credential registered in Entra ID, and if the exchange succeeds, the pod receives a real Entra ID access token to call Azure APIs. The break point almost always sits at the federated credential comparison — the issuer URL registered there has to match the token's iss claim character-for-character, including trailing slashes, and any mismatch fails the exchange outright with AADSTS70021.
01Why This Guide Covers Different GroundScope

Worth being explicit about scope, since AKS troubleshooting content spans a wide range of maturity levels and this guide deliberately sits at the more advanced end.

Covered elsewhere (not repeated here)Covered in this guide
CrashLoopBackOff, ImagePullBackOff, OOMKilledWorkload Identity federation failures with exact error codes
Basic Pending pods (resource requests, taints)Azure CNI IP exhaustion, including the upgrade-surge trap
Node NotReady, DNS resolution failuresDated deadlines affecting node pool scalability right now
Auto-upgrade not triggering at allUpgrades that DO trigger but stall mid-process on IP exhaustion
02Workload Identity Federation Failures: The Precise Error CodesVerified

Azure Workload Identity is now the only supported approach for pods to access Azure resources without stored credentials — its specific failure modes have specific, identifiable error codes worth knowing by sight.

Error codeMeaning
AADSTS70021No matching federated identity record — the subject or issuer in the token doesn't match any registered federated credential
AADSTS70022Token is before nbf claim — clock skew between the cluster and Entra ID exceeds tolerance
AADSTS700016Application not found — the client ID is wrong, or belongs to a different tenant entirely
AADSTS70021 is by far the most common — and almost always traces to the issuer URL specifically

Of these three, AADSTS70021 accounts for the large majority of real Workload Identity failures, and Section 3 covers its specific, precise root cause and fix in detail. The other two are worth ruling out quickly — AADSTS70022 points at cluster or node clock drift, and AADSTS700016 points at a wrong or misconfigured client ID — but neither is nearly as common as the issuer URL mismatch behind AADSTS70021.

03The OIDC Issuer URL Mismatch: The #1 Workload Identity FailureThe Fix

The federated credential's registered issuer URL has to match the token's iss claim character-for-character — this single requirement is behind the large majority of real AADSTS70021 failures.

Azure CLI — get the correct issuer URL directly, never construct it manually az aks show \ --resource-group myResourceGroup \ --name myAKSCluster \ --query "oidcIssuerProfile.issuerUrl" \ --output tsv # This returns the exact, current issuer URL for the cluster. # Compare it directly against the federated credential's registered # issuer in Entra ID - trailing slashes and any manual typos are # exactly what cause this mismatch, and both are invisible at a glance.
Common cause of mismatchWhy it happens
Manually typed or copy-pasted issuer URLA single missing or extra trailing slash fails the exact-match comparison, even though the URL looks identical to a human reader
Federated credential created before a cluster rebuildThe OIDC issuer URL changes if the cluster's OIDC issuer is disabled and re-enabled, or under certain cluster recreation scenarios — a stale credential references the old URL
Credential created against the wrong clusterIn a multi-cluster environment, a federated credential registered against a different AKS cluster's issuer will never match
Always query the issuer URL directly — never construct it from a pattern or reuse an old value

The single highest-leverage habit for avoiding this failure mode entirely: retrieve the issuer URL with az aks show --query oidcIssuerProfile.issuerUrl at the moment of creating or updating a federated credential, every time, rather than reusing a value from documentation, a previous deployment script, or manual memory. This one habit eliminates the most common root cause of Workload Identity failures before it ever has a chance to occur.

Figure 2 — Two IP allocation models, one structurally avoids exhaustion
TRADITIONAL CNI GIVES EVERY POD A REAL VNET IP - OVERLAY DOESN'T TRADITIONAL AZURE CNI Every pod gets a real VNet IP - from node-reserved or a separate subnet - genuine exhaustion risk Requires careful, ongoing IP planning AZURE CNI OVERLAY Only NODES get VNet IPs - pods get a /24 from a separate private CIDR, per node, set at cluster creation Structurally avoids VNet subnet exhaustion RECOMMENDED FOR MOST NEW CLUSTERS - kubenet, the older alternative that also avoided full pod IP allocation, is deprecated and being removed March 2028. Section 5 covers a real gotcha that still applies even under Overlay, specifically during node pool upgrades.
Traditional Azure CNI assigns a genuine virtual network IP address to every single pod, drawn from either a reserved block on each node or a dedicated subnet — a model that requires careful, ongoing IP planning and carries real exhaustion risk as a cluster scales. Azure CNI Overlay changes this structurally: only the cluster's nodes receive addresses from the VNet subnet, while pods receive addresses from a separate private CIDR range specified at cluster creation, with each node allocated a /24 block from that range. This is the current recommended model for most new clusters, and it genuinely avoids the VNet-subnet-exhaustion problem traditional CNI can run into — though, as Section 5 covers, it doesn't eliminate every IP-related failure mode entirely.
04Azure CNI IP Exhaustion: Traditional CNI vs OverlayDeep Dive

Restating Figure 2's core distinction with the diagnostic detail behind it.

Azure CLI — check the cluster's current network configuration az aks show \ --resource-group myResourceGroup \ --name myAKSCluster \ --query "networkProfile.{plugin:networkPlugin, mode:networkPluginMode, podCidr:podCidr}" \ --output table # networkPluginMode "overlay" confirms Azure CNI Overlay is in use. # If this is blank/absent with networkPlugin "azure", the cluster is # on traditional (node subnet) CNI - genuine IP exhaustion risk applies.
Networking modelCurrent status
Azure CNI OverlayRecommended for most new clusters — structurally avoids VNet subnet exhaustion
Traditional Azure CNI (Node Subnet)Still supported, legacy — requires careful, ongoing IP planning to avoid exhaustion
kubenetDeprecated, being removed March 2028 — migrate to CNI Overlay before that date
A cluster on traditional CNI experiencing scale failures should check actual subnet IP consumption directly, not assume node count alone explains it

On traditional Azure CNI, IP consumption isn't simply "one IP per node" — it's one IP per node PLUS a reserved allocation for the maximum pods per node configured on that node pool, meaning actual subnet consumption can be significantly higher than node count alone would suggest. Checking the subnet's actual available address count against the cluster's configured max-pods-per-node setting, not just current node count, gives a more accurate picture of genuine remaining headroom.

05The Upgrade-Time IP Exhaustion TrapCritical Correction

This is a genuinely easy-to-miss interaction: a subnet that comfortably supports a cluster's steady-state node count can still run out of IP addresses specifically during an upgrade or node image update.

MechanismDetail
Why upgrades need extra nodes temporarilyAKS scales the node pool out during an upgrade or node image update to maintain availability while nodes are drained and replaced — this is intentional, correct behavior, not a bug
Why this can fail on a tightly-sized subnetEach surge node requires its own pre-allocated pod IP block, exactly like a steady-state node — a subnet sized only for current node count, with no margin, can run out of addresses during exactly this temporary scale-out
What this failure looks likeThe upgrade itself stalls or fails, or new nodes fail to provision, with insufficient-IP-address errors in the relevant Azure activity log or node pool operation status
Size the subnet for peak transient node count during an upgrade, not just steady-state node count

The correct planning approach accounts explicitly for this temporary surge — a subnet sized with zero margin above current steady-state node count is a real, specific risk for this exact failure mode the first time a meaningful upgrade or node image update runs. Microsoft's own guidance recommends allocating a subnet that accommodates future growth specifically because resizing a subnet later is complex and disruptive — a /23 or larger is a reasonable starting point for production workloads, sized with this upgrade-time surge explicitly in mind, not just current node count.

06When the Cluster Autoscaler Won't Scale OutDeep Dive

Pods stuck Pending with the autoscaler apparently doing nothing is a distinct, deeper problem than ordinary scheduling-constraint Pending pods — the autoscaler's own logs carry a specific, named reason for every decision it makes, or declines to make.

Check the cluster autoscaler's own decision log directly kubectl logs -n kube-system \ -l app.kubernetes.io/name=cluster-autoscaler \ --tail=100 | grep -i "scale.up\|reason" # Look specifically for named reasons: NotTriggerScaleUp, # MaxNodeGroupSizeReached, and quota or SKU availability messages - # each points at a genuinely different underlying cause.
Autoscaler log reasonActual cause
MaxNodeGroupSizeReachedThe node pool's configured maximum node count has been hit — a scaling ceiling, not a failure, but worth confirming it's set correctly
Quota or SKU availability messagesThe subscription's regional vCPU quota for the configured VM SKU is exhausted, or that SKU has no current capacity in the target availability zone
No scale-up attempt logged at allWorth checking for a scale-up-disabled annotation on the node pool, or a taint/toleration mismatch preventing pods from being schedulable on any node the autoscaler could add
A Pending pod with no autoscaler activity at all is a different problem than one where the autoscaler tried and failed

The distinction matters for where to look next: if the autoscaler's logs show no scale-up attempt whatsoever, the issue is upstream of the autoscaler — a pod that's fundamentally unschedulable regardless of node count (an impossible resource request, a node selector matching nothing). If the logs show an attempted scale-up that failed, the cause is almost always quota, SKU capacity, or the IP exhaustion pattern from Sections 4-5 — genuinely different diagnostic paths worth distinguishing early rather than guessing.

07Two Dated Deadlines Worth Checking Right NowCurrent Status

Two specific, dated facts worth confirming don't apply to the current environment — both are close enough to now that "someday" isn't a safe response.

DeadlineWhat happens
Sept 2025 (passed)AAD Pod Identity's official end of support — the AKS Pod Identity managed add-on stopped receiving patches and security updates; the underlying open-source project is archived
Nov 30, 2025 (passed)Azure Linux 2.0 node images stopped receiving security updates, frozen at their final release
Mar 31, 2026Azure Linux 2.0 node images are removed entirely — node pools still on this image can no longer scale at all past this date
If any node pool still shows Azure Linux 2.0, migrate to a supported version or osSku AzureLinux3 before scaling operations fail outright

Given the current date, the March 2026 removal deadline for Azure Linux 2.0 node images has already passed or is immediately upon any environment still running it — check node pool OS image versions directly rather than assuming this doesn't apply. Migration requires either upgrading the node pool to a supported Kubernetes version that pulls a current node image, or explicitly migrating to osSku AzureLinux3.

If any workload still references AAD Pod Identity, treat migration to Workload Identity as urgent, not scheduled

AAD Pod Identity's end of support means no further patches or security updates — running it in production now means running a fully unsupported identity mechanism with no path to fixes if a vulnerability is discovered. Given the deadline has already passed, this migration belongs at the top of the backlog for any cluster still depending on it, not queued behind other work.

08Step-by-Step: Diagnosing Workload Identity and CNI IssuesHow-To
  1. For a Workload Identity failure, capture the exact AADSTS error code first

    Check pod logs and Entra ID sign-in logs for the specific code — AADSTS70021, 70022, or 700016 point at genuinely different root causes, per Section 2.

  2. For AADSTS70021 specifically, query the cluster's real issuer URL directly

    Run az aks show --query oidcIssuerProfile.issuerUrl and compare it character-for-character against the federated credential's registered issuer.

  3. Confirm the federated credential's subject matches the Kubernetes service account exactly

    Namespace and service account name both need to match precisely what the credential specifies.

  4. For a suspected CNI IP exhaustion issue, confirm the current networking model

    Run the az aks show command from Section 4 to confirm whether the cluster is on CNI Overlay, traditional CNI, or kubenet.

  5. Check actual subnet address consumption against configured max-pods-per-node, not just node count

    On traditional CNI specifically, this gives a more accurate picture of real remaining headroom than node count alone.

  6. If the failure occurred specifically during an upgrade or node image update, check for the surge-related exhaustion pattern from Section 5

    Confirm whether the subnet had margin above steady-state node count sufficient to accommodate the temporary scale-out.

  7. Check node pool OS image versions against the dated deadlines from Section 6

    Confirm no node pool is still running Azure Linux 2.0, and confirm no workload still depends on AAD Pod Identity.

  8. Document the confirmed root cause before applying a fix

    Given how easily an issuer URL mismatch or subnet sizing gap can recur, record the specific cause found — not just that "it's fixed now" — to prevent the same failure resurfacing after the next credential rotation or cluster change.

09Anti-PatternsTraps
Anti-patternWhy it feels rightWhy it isn't
Manually typing or reusing a previously-documented OIDC issuer URL"It's the same cluster, should be the same URL"The issuer URL can change under certain cluster operations, and manual entry risks a trailing-slash mismatch — always query it fresh
Assuming node count alone determines subnet IP headroom on traditional CNI"X nodes should need roughly X IPs"Each node reserves IPs for its configured max pods, not just itself — actual consumption is meaningfully higher than raw node count suggests
Sizing a subnet for exactly current steady-state node count"That's what the cluster actually needs"Upgrades and node image updates temporarily surge node count — zero margin above steady-state is a real risk for mid-upgrade exhaustion
Continuing to run AAD Pod Identity because it's "still working""If it's not broken, don't touch it"Support ended in September 2025 — it's running unpatched and unsupported, a real security exposure, not a stable legacy system
Ignoring node pool OS image version as a routine detail"The nodes are running fine"Azure Linux 2.0 node images are being removed March 2026 — node pools on this image lose the ability to scale at all past that date
Treating a resolved Workload Identity error as fully fixed without confirming the specific root cause"It's working now, move on"An issuer URL mismatch or credential misconfiguration can recur after any credential rotation or cluster change if the actual cause wasn't documented

Key Takeaways

AADSTS70021 is the most common Workload Identity failure, and it's almost always an issuer URL mismatch. Always query the issuer URL fresh — never construct or reuse it manually.
Azure CNI Overlay structurally avoids the VNet subnet exhaustion traditional CNI is prone to. Only nodes get real VNet IPs — pods draw from a separate private CIDR.
Upgrades temporarily surge node count, and each surge node needs its own IP allocation. A subnet sized for exactly current node count is a real risk for mid-upgrade exhaustion.
AAD Pod Identity's support ended in September 2025 — it's already unsupported. Treat remaining migrations to Workload Identity as urgent, not scheduled work.
Azure Linux 2.0 node images are removed entirely as of March 31, 2026. Node pools still on this image lose the ability to scale past that date.
kubenet is deprecated, removal set for March 2028. Migrate to Azure CNI Overlay ahead of that date rather than waiting.
Document the confirmed root cause, not just that the symptom resolved. Issuer mismatches and subnet sizing gaps recur if the actual cause isn't recorded.

Frequently Asked Questions

What does AADSTS70021 mean in an AKS Workload Identity error, and how do I fix it?
AADSTS70021 means Entra ID found no matching federated identity record for the token a pod presented — in practice, this almost always means the issuer URL registered in the federated identity credential doesn't match the iss claim in the pod's projected service account token. This match has to be character-for-character exact, including trailing slashes, which makes it easy to introduce a mismatch through a manually typed URL, a copy-paste error, or reusing a previously-documented issuer URL that's since changed. The fix is straightforward once identified: retrieve the cluster's current, correct issuer URL directly using az aks show with the query oidcIssuerProfile.issuerUrl, and compare it precisely against what's registered in the federated credential in Entra ID. If they don't match exactly, update the federated credential to the correct value. The most reliable way to avoid this failure entirely going forward is making it a standing practice to query the issuer URL fresh every time a federated credential is created or updated, rather than relying on a previously recorded value or constructing the URL manually from a pattern.
Why did my AKS node pool upgrade fail with an insufficient IP addresses error, even though the cluster wasn't near its node count limit?
This is a specific, well-documented interaction between AKS's upgrade behavior and subnet IP capacity. During a node pool upgrade or node image update, AKS intentionally scales the node pool out temporarily, adding extra nodes so that existing nodes can be drained and replaced while maintaining application availability throughout the process — this is expected, correct behavior, not a malfunction. The issue is that each of these temporary surge nodes requires its own pre-allocated pod IP address block, exactly like any steady-state node would. If the subnet was sized only for the cluster's normal, steady-state node count with no meaningful margin above it, this temporary increase during the upgrade can exhaust the available IP addresses in the subnet, causing the upgrade itself to stall or fail, or causing new nodes to fail provisioning entirely. The fix is proactive: size the subnet with real margin above current steady-state node count specifically to accommodate this upgrade-time surge, rather than sizing it tightly to exactly current needs — Microsoft's own guidance suggests a /23 or larger subnet as a reasonable starting point for production workloads, chosen with future growth and this upgrade behavior explicitly in mind.
Is AAD Pod Identity still safe to use in AKS, or do I need to migrate to Workload Identity?
AAD Pod Identity's official end of support was September 2025, which means it is no longer receiving patches, bug fixes, or security updates from Microsoft, and the underlying open-source aad-pod-identity project has been archived. Given that this deadline has already passed, any AKS cluster still running AAD Pod Identity in production is running a fully unsupported identity mechanism with no path to a fix if a security vulnerability is discovered in it going forward — this is a genuine, current security exposure, not a stable legacy system that simply hasn't been modernized yet. Azure Workload Identity is the current and only supported approach for pod-level access to Azure resources, using OpenID Connect federation between AKS's own OIDC issuer and Entra ID rather than the node-level Managed Identity Controller and Node Managed Identity DaemonSet architecture that AAD Pod Identity relied on — an architecture that itself had known issues with scalability, race conditions, and required privileged DaemonSet pods running with host networking. For any cluster still depending on AAD Pod Identity, migrating to Workload Identity should be treated as urgent, prioritized work rather than something scheduled for a future maintenance window.
What's the difference between traditional Azure CNI and Azure CNI Overlay for avoiding IP address exhaustion?
The two models handle pod IP addressing in fundamentally different ways, and the difference directly affects exhaustion risk. Traditional Azure CNI assigns a genuine virtual network IP address to every single pod in the cluster, drawn either from a reserved block of addresses on each node or from a separate subnet dedicated to pods — this requires careful, ongoing IP address planning as the cluster grows, and running out of available addresses in that space is a real, common failure mode, particularly as application demands increase over time. Azure CNI Overlay takes a structurally different approach: only the cluster's actual nodes receive IP addresses from the VNet subnet, while pods instead receive addresses from a separate, private CIDR range specified at cluster creation time, with each node allocated its own /24 address block carved from that range. Because pod addressing is decoupled from the VNet subnet entirely under Overlay, it avoids the VNet-subnet-exhaustion problem that traditional CNI is prone to, which is why Azure CNI Overlay is the currently recommended networking model for most new AKS clusters. It's worth noting that Overlay doesn't eliminate every IP-related failure mode — the private CIDR range itself still needs to be sized with enough headroom to accommodate node count, including the temporary node surge that happens during cluster upgrades and node image updates.

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