| name | gcloud-builds-tag-deploy-false-success |
| description | Fix false-positive Cloud Run deploys where `gcloud builds submit --tag` silently fails
but the follow-up `gcloud run services update --image :latest` succeeds against a stale
image, producing a confident "Deploying... Done" message with pre-fix code still live.
Use when: (1) gcloud builds submit prints
"ERROR: (gcloud.builds.submit) Invalid value for [source]: Dockerfile required when specifying --tag"
but the shell scrolls past it, (2) code changes verified locally aren't visible in production
after a deploy that printed "revision ... has been deployed and is serving 100 percent of traffic",
(3) Chaining `gcloud builds submit` and `gcloud run services update` in a single copy-paste
block, (4) Using the mutable `:latest` tag for Cloud Run deploys.
|
| author | Claude Code |
| version | 1.0.0 |
| date | "2026-04-05T00:00:00.000Z" |
gcloud builds submit --tag false-success trap
Problem
A common Cloud Run deploy recipe looks like this:
gcloud builds submit --tag us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:latest
gcloud run services update SERVICE \
--image us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:latest \
--region us-central1 --project PROJECT
When the first command fails (most commonly because the current working directory doesn't
contain a Dockerfile), its single-line error scrolls off-screen above the second command's
verbose progress spinner. The second command then pulls the existing :latest image
from Artifact Registry — which is the previous build — and deploys it. You get:
✓ Deploying... Done.
✓ Creating Revision...
✓ Routing traffic...
Service [...] revision [...] has been deployed and is serving 100 percent of traffic.
A green "SUCCESS" deploy that did not change the running code. The user then spends
hours debugging why the fix isn't live, or worse, concludes the fix doesn't work and
reverts good code.
Context / Trigger Conditions
- User reports "I deployed the fix but production behavior is unchanged"
- Recent shell output contains both:
ERROR: (gcloud.builds.submit) Invalid value for [source]: Dockerfile required when specifying --tag
revision [...] has been deployed and is serving 100 percent of traffic
- The
gcloud builds submit --tag … was run without a source positional argument AND
the working directory does not contain the Dockerfile (common in monorepos where the
Dockerfile lives under a subdirectory like cloud-run-upload/, services/api/, etc.)
- The deploy targets use the mutable
:latest tag (or another tag that already exists
in the registry)
Root cause
gcloud builds submit --tag IMAGE_TAG needs a source directory. When you omit it, it
defaults to the current working directory, and if there's no Dockerfile there (or a
cloudbuild.yaml), it exits immediately with exit code 1 — without uploading anything,
without creating a build job, without touching Artifact Registry.
Because gcloud run services update --image :latest resolves :latest at deploy time
from Artifact Registry, it happily redeploys whatever was there from the previous
successful build. Cloud Run's response does not compare the resolved digest to what's
already running; it cheerfully creates a new revision pinning the same digest. Output
reads "Done" because, from Cloud Run's perspective, everything worked.
Two mistakes compound here:
- The build failure is a single red line among otherwise-green output and it's easy to miss.
- The
:latest tag hides the fact that "the image didn't actually change" — an immutable
tag (git SHA, timestamp) would have made the staleness obvious.
Solution
Immediate fix
Rerun the build from the directory containing the Dockerfile, or pass the source as a
positional argument:
cd cloud-run-upload
gcloud builds submit --tag us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:latest
gcloud builds submit cloud-run-upload \
--tag us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:latest
Wait for STATUS: SUCCESS in the output (not just for the prompt to return).
Then rerun the gcloud run services update command to pull the new digest.
Permanent prevention (recommended)
-
Use immutable tags. Never deploy :latest to Cloud Run for anything that matters.
Tag with git SHA or timestamp so staleness is visible:
TAG=$(git rev-parse --short HEAD)
gcloud builds submit cloud-run-upload \
--tag us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:${TAG}
gcloud run services update SERVICE \
--image us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:${TAG} ...
If step 1 silently fails, step 2 fails loudly with "image not found" because that
tag doesn't exist yet. False-positive converted into a real error.
-
Chain with && or put the commands in a script with set -e. Copy-pasting two
separate commands lets the second run even if the first errored:
#!/bin/bash
set -euo pipefail
cd "$(dirname "$0")/cloud-run-upload"
TAG=$(git rev-parse --short HEAD)
IMAGE=us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:${TAG}
gcloud builds submit --tag "${IMAGE}"
gcloud run services update SERVICE --image "${IMAGE}" --region us-central1
-
Verify the build output contains STATUS: SUCCESS before running the deploy. The
last line of a successful gcloud builds submit is STATUS: SUCCESS. If the last
line is anything else (especially ERROR:), the build did not happen.
Verification
After re-running, confirm the deploy actually landed by checking the deployed revision's
image digest matches the newly-built one:
gcloud artifacts docker images describe \
us-central1-docker.pkg.dev/PROJECT/REPO/IMAGE:latest \
--format='value(image_summary.digest)'
gcloud run services describe SERVICE --region us-central1 \
--format='value(spec.template.spec.containers[0].image)'
The second command shows the resolved digest (if :latest was pinned) or the tag. For
an end-to-end behavioral check, hit a version endpoint if the service exposes one, or
tail logs and confirm new log lines that only the fixed code would emit:
gcloud logging read 'resource.type=cloud_run_revision AND resource.labels.service_name=SERVICE AND textPayload=~"NEW_LOG_LINE_FROM_FIX"' \
--limit=5 --freshness=5m --format='value(timestamp,textPayload)'
Example
A user runs the following as two separate pasted commands:
$ gcloud builds submit --tag us-central1-docker.pkg.dev/PROJECT/REPO/blossom-upload:latest
ERROR: (gcloud.builds.submit) Invalid value for [source]: Dockerfile required when specifying --tag
$ gcloud run services update divine-blossom-upload \
--image us-central1-docker.pkg.dev/PROJECT/REPO/blossom-upload:latest \
--region us-central1 --project PROJECT
✓ Deploying... Done.
✓ Creating Revision...
✓ Routing traffic...
Done.
Service [divine-blossom-upload] revision [divine-blossom-upload-00008-kvg] has been deployed and is serving 100 percent of traffic.
Revision 00008-kvg is live but runs the pre-fix image. The user tests the fix against
production, it still misbehaves, and they escalate: "I deployed and it still doesn't work."
The fix is to rerun gcloud builds submit from the directory containing the Dockerfile
(or pass it as a positional), wait for STATUS: SUCCESS, then rerun the gcloud run services update. The next revision will carry the new digest.
Notes
- This is not specific to Cloud Run. The same shape of bug applies to any deploy pipeline
that separates "build image" from "point service at :latest": Kubernetes with
imagePullPolicy: Always, ECS with a latest task definition, Fly.io fly deploy
after a failed flyctl image push, etc. Whenever the deploy step resolves a mutable
tag it inherits the previous image on a build-step failure.
gcloud builds submit also accepts --gcs-source-staging-dir and cloudbuild.yaml
workflows — the error message changes with those but the principle is identical:
verify build success, don't chain commands unconditionally.
- If you see
PERMISSION_DENIED from gcloud builds submit, that's a different
failure and also leaves the registry untouched — same false-positive pattern applies.
- In shells with
rtk/tee middleware, a multi-command block can be rerun by index;
rerunning just the update command without the build is the exact recipe for
recreating this bug.
References
- gcloud builds submit reference — note that
--tag requires a source positional that contains a Dockerfile
- Cloud Run deploy from source — the
gcloud run deploy --source . one-shot avoids this split-command footgun entirely and is worth considering as an alternative workflow
- Related skill:
docker-buildx-stale-rust-binary — different failure mode (layer cache staleness within a successful build) but shares the "deploy looks fine, code is old" symptom