Error map
BigQuery: Quota exceeded: Your project exceeded quota for free query bytes scanned BigQuery: Quota exceeded: Your project exceeded quota for free query bytes scanned. Consider enabling billing
Google Cloud / Firebase · layer 6, Platform & cloud
Centre: this error. First ring: errors it is linked with (10). 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 (10)
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).
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.
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.
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.
BigQuery: Resources exceeded during query execution: Not enough resources for query planning - too many subqueries or query is too complex
A query is too heavy for BigQuery to execute (usually sorts, large joins, window functions or DISTINCT over huge data on a single…
BigQuery: Syntax error / Unrecognized name: customer_id at [3:8] (Did you mean customerId?)
The query references a column or alias that doesn't exist in that scope.
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.
Two steps away (23)
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 SQL: failed to connect to `host=PROJECT:REGION:INSTANCE user=app database=db`: dial error (timeout) / Cloud SQL Auth Proxy: failed to connect to instance
Your app or the Cloud SQL Auth Proxy couldn't open a connection to the instance — IAM, networking or configuration.
Cloud SQL: FATAL: remaining connection slots are reserved / MySQL: ERROR 1040 (08004): Too many connections
The instance's maximum connections was reached, often because serverless instances each open their own connection pool.
Docker push: denied: Permission "artifactregistry.repositories.uploadArtifacts" denied on resource "projects/p/locations/l/repositories/r"
Your identity cannot push or pull images in that Artifact Registry repository, or Docker isn't authenticated to the registry host.
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.
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.
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.
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…
Firebase CLI: Error: Your project my-app must be on the Blaze (pay-as-you-go) plan to complete this command. Required API cloudbuild.googleapis.com can't be enabled until the upgrade is complete
Deploying Cloud Functions needs the Blaze plan because it relies on Cloud Build and Artifact Registry.
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: 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.
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.
Pub/Sub: Messages keep being redelivered — acknowledgement deadline expired before the subscriber acked
Your subscriber took longer than the ack deadline to acknowledge, so Pub/Sub redelivered the message (duplicate processing).
Docker build slow: "Sending build context to Docker daemon 2.5GB" / transferring context takes forever
docker build is uploading your whole project folder — node_modules, .git, data files — before building, because there’s no (or a…
ANR: Application Not Responding (Input dispatching timed out)
The main thread was blocked for about 5 seconds (input) or a broadcast/service took too long, so Android showed “App isn’t respon…
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'.
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