Start by identifying which layer is failing: declared Git state, GitOps reconciliation, or workload health. An Argo CD OutOfSync status means the live resources differ from the rendered target; it does not prove that a Deployment rollout failed. A stalled Deployment is a Kubernetes workload-controller problem, even when the promotion controller reports a successful sync.
Record the cluster, namespace, application, resource name, Git revision or image, promotion stage, and first-failure time. Then compare the failing cluster with a known-good cluster using the same fields. This prevents repeated sync attempts from masking a quota, permission, image, admission, configuration, or probe difference.
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Separate drift, sync failure, and rollout failure
Use the component reporting the symptom as your starting point. Argo CD defines an application whose live state differs from its target state as OutOfSync. Kubernetes reports Deployment progress through conditions, ReplicaSet availability, events, and rollout status. These signals can occur together, but they describe different failures.
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|---|---|---|
Argo CD shows OutOfSync |
At least one live resource differs from the rendered desired state. | Rendered target, live diff, sync operation, and resource ownership. |
| Argo CD sync failed | The controller did not complete the requested apply operation. | Sync error, revision, parameters, retry policy, and admission or permission errors. |
| Application is synced but unhealthy | The declared resources may exist, but one or more resources are not healthy. | Deployment conditions, Pods, events, probes, and dependent services. |
kubectl rollout status does not complete |
The Deployment has not met its progress criteria for the observed revision. | ReplicaSet, Pod scheduling, image pulls, readiness, quota, and ProgressDeadlineExceeded. |
| Promotion is green in one cluster and fails in another | The clusters differ in inputs, controller state, or runtime conditions. | Same revision and rendered manifests first, then environment-specific constraints. |
Do not treat a green promotion status as proof that users can reach healthy Pods. A promotion controller can finish its own workflow while a Deployment remains unavailable or while readiness probes keep every new Pod out of Service endpoints.
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Build an incident baseline before changing anything
Capture evidence from both the failing and known-good clusters before retrying, scaling, or rolling back. Include the exact time zone and timestamps so events can be correlated with controller logs and monitoring.
- Identify the scope. Write down cluster context, namespace, Argo CD application, Deployment and ReplicaSet names, promotion stage, Git commit, image digest or tag, and the first observed failure.
- Save controller state. Record Argo CD application sync status, health status, operation result, rendered revision, parameters, retry settings, and whether automated sync or self-heal is enabled.
- Save workload state. Capture Deployment conditions, desired/current/ready replica counts, the active ReplicaSet revision, Pod phases, container states, and recent events.
- Compare inputs. Diff the rendered manifests and Helm or Kustomize inputs used for each cluster. A different values file, overlay, image digest, namespace, or admission mutation can explain a cluster-specific result even when the Git commit is identical.
- Preserve failed resources. Keep the failing ReplicaSet and Pods long enough to inspect logs, events, probes, and environment variables. Deleting them too early removes the most useful evidence.
Why an app can remain OutOfSync after syncing
Inspect the rendered target and live diff
First confirm what Argo CD rendered, not merely what is present in Git. In the application view, open the resource tree and diff for the affected object. Check fields that are commonly changed after apply: labels, annotations, replica counts, generated names, admission-injected fields, and controller-managed status. A persistent difference can mean the desired manifest is wrong, another controller is mutating the object, or Argo CD is not managing the object you think it is.
On the cluster, use read-only commands to confirm the live object and its owner:
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kubectl describe deployment <name> -n <namespace>
kubectl get rs,pods -n <namespace> --show-labelsCompare the output with the rendered target, while excluding fields that are intentionally generated or managed by Kubernetes. If a field changes immediately after every sync, identify the mutating controller or admission policy before changing the manifest.
Check the sync operation separately from application status
An application may show a completed sync operation while one resource is still unhealthy, or show OutOfSync because a later mutation changed live state. Review the operation result, resource-level messages, revision, and parameters. A failed apply should lead to the exact API error; a successful apply followed by drift calls for an ownership or mutation investigation rather than another blind sync.
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Resolve Argo CD instance-label ownership collisions
Argo CD uses the app.kubernetes.io/instance label to determine which resources belong to an application. The Argo CD FAQ documents a failure mode in which another tool writes that same label. Argo CD can then calculate ownership incorrectly and leave the application OutOfSync even after a sync appears to succeed.
Find out whether another controller, chart, admission policy, or deployment tool overwrites the label. If the label is required by that tool, configure Argo CD to use a different application-instance label key, such as argocd.argoproj.io/instance, according to the Argo CD version deployed in your environment. Resynchronize only after the ownership key is consistent; otherwise the competing mutation will recreate the drift.
Look for a second writer
Common second writers include an autoscaler changing replica counts, an operator reconciling a custom resource, a policy engine injecting labels or sidecars, and a post-sync job editing metadata. The correct fix is to establish one owner for each field or explicitly configure Argo CD’s diff and ownership behavior. Do not “fix” the symptom by repeatedly editing the live object; reconciliation will either overwrite that edit or report it again.
Understand automated sync, retries, and reconciliation timing
Argo CD automated sync runs when an application is OutOfSync, but its documented behavior does not automatically retry a failed sync for the same commit SHA and application parameters. A retry policy can add exponential backoff. Therefore, a failed promotion may remain failed even though the application still displays the same revision and is eligible for automated sync.
- Read the sync error and confirm whether the failure was an apply error, health failure, hook failure, or a policy rejection.
- Check whether the desired revision or application parameters actually changed. A new retry is not guaranteed for the same SHA without a configured retry policy.
- Inspect retry count and backoff settings before assuming the controller is stuck.
- Check self-heal separately. Self-heal addresses live-state drift when enabled; it is not a universal repair mechanism for a failed workload or an invalid manifest.
The stable Argo CD documentation describes a default reconciliation period of 120 seconds plus up to 60 seconds of jitter, for a maximum interval of three minutes. This is a configurable default, not a timing guarantee. If a new commit has been detected but no reconciliation occurs after the configured interval, verify the controller configuration, repository access, application refresh state, and controller logs. Identify the Argo CD version before applying version-specific advice because retry and rollback behavior can change between releases.
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Diagnose a Deployment that will not progress
Pin the rollout you are observing
Watch the Deployment with:
kubectl rollout status deployment/<name> -n <namespace>If another rollout could start while you investigate, pin the check to the intended revision:
kubectl rollout status deployment/<name> -n <namespace> --revision=<N>A nonzero command status means that the observed rollout has not succeeded. It does not by itself identify the cause. Pair it with conditions and events:
kubectl describe deployment <name> -n <namespace>
kubectl get deployment <name> -n <namespace> -o yaml
kubectl get events -n <namespace> --sort-by=.lastTimestamp
kubectl get pods -n <namespace> -o wideRead Deployment conditions
Look for ProgressDeadlineExceeded, FailedCreate, unavailable replicas, and a ReplicaSet that never reaches the required number of available Pods. The Deployment controller uses progressDeadlineSeconds to decide when progress is stalled. A deadline is an alert about lack of progress, not a diagnosis; inspect the underlying Pod and scheduling events.
Check the concrete failure classes
| Failure class | Evidence to look for | Corrective direction |
|---|---|---|
| Insufficient quota | Namespace events or ReplicaSet errors reporting quota exhaustion. | Compare resource requests and limits with namespace quota; obtain an approved quota change or reduce the requested footprint. |
| Pod cannot be created | FailedCreate, admission rejection, limit-range violation, or scheduling events. |
Read the complete API error and fix the rejected field, policy, limit, or scheduling constraint. |
| Image cannot be pulled | ErrImagePull, ImagePullBackOff, authentication errors, or a missing tag/digest. |
Verify the image reference, registry credentials, network access, and that the same image exists in the failing cluster’s region or registry path. |
| Readiness never succeeds | Pods run but remain Ready=False; probe failures appear in Pod events. |
Validate the probe path, port, scheme, startup time, dependencies, and required configuration. |
| Permissions or policy | Forbidden API errors, service-account failures, security-policy or admission messages. | Compare service accounts, RBAC, admission configuration, and namespace policies between clusters. |
| Limit ranges or resource settings | Admission rejects missing or invalid requests and limits. | Supply values required by the namespace or correct the workload’s resource specification. |
| Application runtime configuration | Container starts and exits, crashes, or logs configuration and dependency errors. | Compare ConfigMaps, Secrets, environment variables, mounted files, endpoints, and feature flags with the working cluster. |
Distinguish readiness from liveness
Readiness determines whether a Pod is eligible for Service traffic. A Pod is not ready when its node is not ready, a readiness gate is false, or one or more containers are not ready; not-ready Pods are removed from Service load balancers. A failed readiness probe therefore protects traffic but can leave a rollout waiting indefinitely.
Liveness answers a different question: should the container be restarted? It should represent an unrecoverable failure, not temporary overload, slow startup, or a dependency that is expected to be unavailable briefly. An overly aggressive liveness probe can repeatedly restart a process, causing cascading failures while readiness never stabilizes. Review startup behavior, probe timeouts, failure thresholds, periods, and initial delays together.
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Compare a working and failing cluster systematically
Use a side-by-side worksheet rather than comparing only the Git commit. The following axes synthesize the signals exposed by Kubernetes and Argo CD; Kubernetes does not provide a single standard cross-cluster comparison API.
| Axis | Questions | Useful evidence |
|---|---|---|
| Desired revision | Is the same commit, image digest, chart version, and rendered overlay being promoted? | Application target revision, rendered manifests, Helm values, Kustomize overlays, and image references. |
| Controller result | Did both controllers receive and apply the same operation? | Sync status, operation result, error text, retry policy, self-heal setting, and controller logs. |
| Resource health | Are the same resources synced, available, and on the same ReplicaSet revision? | Application resource tree, Deployment conditions, ReplicaSet counts, Pod phases, and rollout status. |
| Cluster constraints | Can the failing cluster schedule and admit the same workload? | Namespace quota, limit ranges, node capacity, taints, admission policies, RBAC, and service-account configuration. |
| Artifact access | Can every cluster pull the exact image and reach required dependencies? | Image-pull events, registry credentials, network policy, DNS, endpoints, and region-specific registry access. |
| Traffic eligibility | Are Pods ready and included in Service endpoints? | Readiness events, readiness gates, Service endpoint slices, and probe configuration. |
When the rendered target differs, fix the promotion inputs. When targets match but sync results differ, investigate controller access, permissions, admission, or repository state. When both are synced but health differs, focus on workload and environment evidence rather than triggering another sync.
Contain a failed canary without destroying evidence
If monitoring identifies a canary problem, protect stable capacity while preserving the failed version for inspection.
- Stop canary traffic or promotion. Follow the deployment system’s documented pause mechanism so no additional stage advances while evidence is collected.
- Scale the canary Deployment to zero.
kubectl scale deployment/<canary-name> --replicas=0 -n <namespace>Kubernetes’ canary tutorial notes that this removes canary Pods while preserving the Deployment configuration for inspection.
- Restore stable capacity if required. Scale the stable Deployment back to its intended replica count if the canary reduced available capacity or if traffic has shifted unexpectedly.
- Collect evidence. Save the canary manifest, ReplicaSet revision, Pod logs, events, probe failures, image digest, and rendered configuration before deleting anything.
- Correct the declared source. Fix the Git manifest, values, image, probe, policy, or environment configuration that caused the failure, then let the promotion workflow reconcile it.
- Promote again only after health gates pass. Verify readiness, rollout completion, and application-level health before restoring canary traffic.
Rollback safely when GitOps owns the application
Direct Kubernetes-managed Deployment
For a Deployment managed directly through Kubernetes, kubectl rollout undo can restore an earlier Pod-template revision:
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kubectl rollout undo deployment/<name> -n <namespace> --to-revision=<N>
kubectl rollout status deployment/<name> -n <namespace>Revisions are created when the Pod template changes. Scaling-only changes do not create a new revision, and rollback restores the Pod template rather than every historical aspect of the application. Confirm the resulting image, configuration references, and replica behavior after the undo.
Argo CD automated sync
Argo CD documents that rollback cannot be performed against an application while automated sync is enabled. In that situation, an imperative live-cluster rollback is temporary: reconciliation can overwrite it with the declared state. Revert or correct the desired configuration in Git through the normal review and deployment workflow, then confirm that Argo CD reconciles the new revision and that the Deployment becomes healthy.
If an emergency imperative action is unavoidable, record it, protect stable capacity, and follow it immediately with a source-of-truth change. Otherwise the cluster and Git will diverge again, producing the same drift signal during the next reconciliation.
Recovery decision tree
OutOfSyncand rendered target is wrong: correct the manifest or promotion inputs, commit the change, and verify the new revision.OutOfSyncand live state is being mutated: identify the second writer, resolve label or field ownership, then resynchronize.- Sync failed before resources changed: fix the reported API, permission, admission, repository, or artifact error; check retry behavior before waiting for another attempt.
- Synced but Deployment is stalled: stop triggering syncs and inspect conditions, ReplicaSet, Pods, events, quota, images, permissions, configuration, and probes.
- Canary is unhealthy: scale it to zero, preserve its evidence, restore stable replicas if needed, and correct the declared source before another promotion.
- Rollback is required under automated sync: change Git rather than relying on a live-only undo, then verify reconciliation and workload health.
Version and timing cautions
Argo CD automated-sync defaults, retry behavior, rollback restrictions, and resource-health semantics are version-sensitive. The stable documentation describes the 120-second reconciliation period plus up to 60 seconds of jitter, but operators can change that setting. Identify the Argo CD release running in the affected environment before relying on a UI label, controller default, or rollback behavior.
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