Error map
Workload Identity 403: Permission denied (GKE) GKE: google.api_core.exceptions.Forbidden: 403 Caller does not have required permission — Workload Identity: unable to generate access token
Google Cloud / Firebase · layer 6, Platform & cloud
Centre: this error. First ring: errors it is linked with (8). Outer ring: what those are linked with. Colours show the layer of a request each error belongs to. Click any dot to re-centre the map on it; hover to follow its connections. The centre dot opens the error page.
Directly related (8)
Google Cloud: Error: Could not load the default credentials. Browse to https://cloud.google.com/docs/authentication/getting-started
The Google client library found no Application Default Credentials (ADC) on this machine or environment.
Cloud Run: Error: Forbidden — Your client does not have permission to get URL / from this server
The Cloud Run service requires authentication and the caller has no valid identity token or the `roles/run.invoker` role.
GKE/Compute: Quota 'CPUS' exceeded. Limit: 8.0 in region us-central1 (QUOTA_EXCEEDED)
Creating nodes or clusters needs more vCPUs than your project's regional quota allows.
GKE/Kubernetes: Pod unschedulable — 0/3 nodes are available: 3 Insufficient cpu
The scheduler found no node with enough free CPU/memory for the pod's resource requests.
kubectl: error: executable gke-gcloud-auth-plugin not found — it looks like you are trying to use a client-go credential plugin that is not installed
kubectl needs the `gke-gcloud-auth-plugin` binary to authenticate to GKE, and it is missing from PATH.
GKE Ingress: Some backend services are in UNHEALTHY state / 502 Server Error from the load balancer
The Google load balancer's health checks fail for the Ingress backends, so it returns 502 or 'no healthy upstream'.
Google Cloud: 403 PERMISSION_DENIED — Permission 'storage.objects.get' denied on resource (or it may not exist)
The caller's identity lacks the IAM permission named in the message on that resource.
gcloud/ADC: WARNING: Your active project does not match the quota project in your local Application Default Credentials file
Application Default Credentials bill API usage to a different project than the one you have set as active, which can cause surpri…
Two steps away (24)
Git: Permission denied (publickey). fatal: Could not read from remote repository.
SSH authentication to GitHub/GitLab/Bitbucket failed — no key, wrong key, or the key isn’t added to your account.
Azure AD (Entra ID): AADSTS700016 Application not found in the directory
The client ID in your sign-in request doesn’t exist in the tenant you’re authenticating against.
HTTP 401 Unauthorized
The request has no valid authentication credentials — you need to log in or send a valid token.
Cloud Run: 503 Service Unavailable — The request was aborted because there was no available instance
Cloud Run could not serve the request: no instance was ready, instances crashed, or the service hit its max-instances/concurrency…
Cloud Run: Memory limit of 512 MiB exceeded with 530 MiB used. Consider increasing the memory limit
The container used more memory than the Cloud Run service allows, so the instance was terminated.
Cloud Run: 504 Gateway Timeout — The request has been terminated because it has reached the maximum request timeout
The request ran longer than the service's request timeout (default 5 minutes, max 60), so Cloud Run closed it.
Google API: 429 RESOURCE_EXHAUSTED — Quota exceeded for quota metric 'Read requests' and limit 'Read requests per minute per user'
Your project or user exceeded an API rate or daily quota.
Compute Engine: The zone 'projects/p/zones/us-central1-a' does not have enough resources available to fulfill the request (ZONE_RESOURCE_POOL_EXHAUSTED)
Google has no spare capacity for that machine type in the zone right now.
Compute Engine: Quota 'N2_CPUS' exceeded. Limit: 24.0 in region europe-west1 / QUOTA_EXCEEDED
The project reached a regional Compute Engine quota (vCPUs per machine family, GPUs, disks, addresses).
Kubernetes: OOMKilled (exit code 137)
The container used more memory than its limit, and the kernel killed it.
Kubernetes: Pod stuck in Pending — FailedScheduling: 0/3 nodes are available
The scheduler can’t find a node that satisfies the pod’s resource requests, selectors, taints or volume constraints.
Google Cloud: 403 SERVICE_DISABLED — Cloud Resource Manager API has not been used in project 123456 before or it is disabled. Enable it by visiting
The Google API you called is not enabled for the project that the request is billed to.
kubectl: The connection to the server localhost:8080 was refused — did you specify the right host or port?
kubectl has no usable kubeconfig, so it falls back to localhost:8080 — or the cluster API server is unreachable.
Error from server (Forbidden): pods is forbidden: User "x" cannot list resource "pods" in API group "" in the namespace
You’re authenticated to the cluster, but RBAC doesn’t give your user or service account that verb on that resource.
error: You must be logged in to the server (Unauthorized)
The cluster rejected kubectl’s credentials — expired token, wrong kubeconfig user, or cloud IAM identity not allowed.
Readiness probe failed: HTTP probe failed with statuscode: 503 / connect: connection refused
The container is running, but its readiness check fails, so the pod is marked not ready and removed from Service endpoints.
Ingress returns "404 Not Found" / "default backend - 404" (ingress-nginx)
The ingress controller received the request but no Ingress rule matched the host/path, so it answered with its default backend.
Error from server: admission webhook "validate.nginx.ingress.kubernetes.io" denied the request
A validating admission webhook (ingress-nginx, Gatekeeper/OPA, Kyverno) inspected your object and rejected it; the reason follows…
Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
The docker CLI can’t talk to the Docker engine — it isn’t running, or your user can’t access the socket.
OAuth 2.0 Error: invalid_scope / insufficient_scope
The requested scope is unknown or not allowed for this client — or the token lacks the scope the API endpoint requires.
Error: listen EACCES: permission denied 0.0.0.0:80
Node isn’t allowed to bind that port — ports below 1024 need root on Linux/macOS, and some Windows ports are reserved.
gcloud: ERROR: (gcloud.auth.print-access-token) There was a problem refreshing your current auth tokens: Reauthentication failed. cannot prompt during non-interactive execution
Your cached Google credentials expired or require a fresh login (session control or password change), and gcloud can't prompt.
Google Cloud: 403 This API method requires billing to be enabled. Please enable billing on project and retry
The project has no active billing account, and the API/service needs one.
Google Cloud: Constraint constraints/compute.vmExternalIpAccess violated for project — Request violates constraint 'constraints/...'
An organisation policy forbids what you asked (external IP on a VM, public bucket, allowed regions, public Cloud Run).
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