Error map
Artifact Registry: Permission artifactregistry.repositories.uploadArtifacts denied Docker push: denied: Permission "artifactregistry.repositories.uploadArtifacts" denied on resource "projects/p/locations/l/repositories/r"
Google Cloud / Firebase · layer 6, Platform & cloud
Centre: this error. First ring: errors it is linked with (12). 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 (12)
denied: requested access to the resource is denied (docker push)
You’re logged in, but not allowed to push to that repository — usually the image isn’t tagged with your own username/organisation.
Cloud Run: Revision 'svc-00005' is not ready — Image 'gcr.io/proj/app:latest' not found / Permission 'artifactregistry.repositories.downloadArtifacts' denied
Cloud Run cannot pull the container image — it doesn't exist, the tag is wrong, or the service identity lacks access to the regis…
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 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.
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).
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…
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.
gcloud compute ssh: ERROR: (gcloud.compute.start-iap-tunnel) Error while connecting [4033: 'not authorized']
SSH through Identity-Aware Proxy failed because you lack IAP tunnel permission or the firewall doesn't allow IAP's range.
Compute Engine: ERROR: (gcloud.compute.instances.create) Could not fetch resource: The resource 'projects/p/zones/z/instances/vm-1' already exists
You tried to create a resource whose name is already taken in that scope.
Cloud Storage: 404 Not Found — The specified bucket does not exist / No such object: bucket/object
The bucket or object name in your request doesn't exist (typo, deleted, wrong project, or a leading slash issue).
Two steps away (26)
Git: ! [rejected] … (fetch first) — error: failed to push some refs
The remote branch has commits you don’t have locally, so Git refuses to overwrite them. Pull (merge or rebase) first, then push.
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.
exec /usr/local/bin/docker-entrypoint.sh: exec format error
The container tried to run a binary built for a different CPU architecture (arm64 vs amd64) — or a script with a broken shebang /…
Cloud Run: The user-provided container failed to start and listen on the port defined provided by the PORT=8080 environment variable
Cloud Run started your container, but nothing listened on $PORT within the startup timeout — the app crashed, listens on another…
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…
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.
GitHub Actions: Error: Credentials could not be loaded, please check your action inputs: Could not load credentials from any providers
`aws-actions/configure-aws-credentials` found no usable credentials — no keys, no role to assume, or the OIDC token was not reque…
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.
Service has no endpoints (no endpoints available for service / Endpoints: <none>)
The Service’s selector matches no ready pods, so traffic to it is refused or returns 503.
spec.ports[0].nodePort: Invalid value: 80: provided port is not in the valid range. The range of valid ports is 30000-32767
A NodePort Service asked for a port outside the cluster’s NodePort range (default 30000–32767).
Context.startForegroundService() did not then call Service.startForeground() / ForegroundServiceStartNotAllowedException
A foreground service didn’t call startForeground() within a few seconds, or the app tried to start one from the background where…
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.
BigQuery: Not found: Dataset my-project:analytics was not found in location EU
BigQuery looked for the dataset in the wrong location (region) or the dataset doesn't exist.
BigQuery: Access Denied: Project my-project: User does not have bigquery.jobs.create permission in project my-project
The principal can read data but is not allowed to run query jobs in the project used for billing.
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.
GCP: FAILED_PRECONDITION: Key creation is not allowed on this service account (constraints/iam.disableServiceAccountKeyCreation)
An organisation policy forbids creating downloadable JSON keys for service accounts.
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.
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.
Go: Get "https://api.example.com": context deadline exceeded (Client.Timeout exceeded while awaiting headers)
An operation did not finish before its context deadline or HTTP client timeout.
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.
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).
Cloud Storage: 403 Forbidden — user@example.com does not have storage.objects.get access to the Google Cloud Storage object
The identity making the request has no read permission on that bucket or object.
Cloud Storage: SignatureDoesNotMatch — The request signature we calculated does not match the signature you provided
A signed URL was generated with different parameters than the request used (headers, method, content type, host, expiry or clock…
Browser: Access to fetch at 'https://storage.googleapis.com/bucket/file' from origin 'https://app.example.com' has been blocked by CORS policy
A browser upload/download to Cloud Storage was blocked because the bucket's CORS configuration doesn't allow your origin, method…
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