Vikunja on Cloud Run — Lab Guide
Overview
Estimated time: 45–90 minutes
Vikunja is an open-source, self-hosted to-do and project management application with lists, kanban boards, gantt charts, reminders, and team sharing via a REST API and web UI. This lab takes you through the full operational lifecycle of the Vikunja on Cloud Run module on Google Cloud: deploy it, access and verify it, run it day-to-day, observe it, diagnose common problems, and tear it down.
The lab focuses on operating the Cloud Run module and the Google Cloud platform, not on Vikunja product features. For the complete list of provisioned services and every configuration input (organised by group), see the Configuration Guide — this lab deliberately does not duplicate that detail so it stays accurate over time.
Objectives
By the end of this lab you will be able to:
- Deploy the module from the RAD platform and locate the resources it provisions.
- Access and verify the running service.
- Perform day-2 operations — inspect, scale, update, and manage secrets and backups.
- Observe the service with Cloud Logging and Cloud Monitoring.
- Diagnose and resolve the most common deployment and runtime issues.
- Tear the deployment down cleanly.
Prerequisites
- Services_GCP deployed in the target project (provides the VPC, Cloud SQL, Artifact Registry, and shared service accounts this module depends on).
- A Google Cloud project with billing enabled.
- gcloud CLI authenticated:
gcloud auth loginandgcloud auth application-default login. - Project Owner (or equivalent) IAM on the project.
- RAD platform access with permission to deploy modules into the project.
Set these shell variables once; every task below reuses them:
export PROJECT="<your-gcp-project-id>"
export REGION="us-central1" # the region you deploy into
Task 1 — Deploy the module [Automated]
-
In the RAD platform, open Vikunja (Cloud Run), set
project_id, and review the inputs. Configure only what you need — the Configuration Guide documents every input by group, with defaults. Review the estimated cost (if credits are enabled) and click Deploy, which opens the deployment status page with real-time logs. -
The platform provisions the Cloud Run service, a Cloud SQL (PostgreSQL 15) database with its Secret Manager secrets (
VIKUNJA_SERVICE_JWTSECRETand the database password), builds the custom container image (grafting a static busybox onto thescratchupstream image), and runs a one-shot database-initialisation job. First deploys take roughly 20–35 minutes (Cloud SQL creation dominates). -
When it completes, discover the resources with name-agnostic filters (so the commands keep working regardless of the deployment suffix):
SERVICE=$(gcloud run services list --project="$PROJECT" --region="$REGION" \
--filter="metadata.name~vikunja" --format="value(metadata.name)" --limit=1)
SERVICE_URL=$(gcloud run services describe "$SERVICE" \
--project="$PROJECT" --region="$REGION" --format="value(status.url)")
echo "Service: $SERVICE"
echo "URL: $SERVICE_URL"
Task 2 — Access & verify [Manual]
-
Confirm the service is healthy. Vikunja exposes a public health endpoint that returns 200 once the server has bound its port and connected to PostgreSQL:
curl -s "$SERVICE_URL/health" # expect a JSON object such as {"database":true,...} -
Open
$SERVICE_URLin a browser. On first visit Vikunja shows the login page — click Register and create the first account. The first registered account becomes the instance owner; there is no pre-seeded admin credential in Secret Manager. After the owner account is created, disable open registration by settingVIKUNJA_SERVICE_ENABLEREGISTRATION = "false"inenvironment_variablesand applying it via Update.
Task 3 — Operate & keep it running (Day-2) [Manual]
-
Inspect the service and its revisions (each deploy creates an immutable revision; traffic shifts to the newest healthy one):
gcloud run services describe "$SERVICE" --project="$PROJECT" --region="$REGION"
gcloud run revisions list --service="$SERVICE" --project="$PROJECT" --region="$REGION" -
Scale / adjust CPU billing by changing the instance-count or
cpu_always_allocatedinputs and clicking Update on the deployment details page — the module owns the service spec, so this is a configuration change, not a manualgcloudedit (a manual edit would be reverted on the next apply). Note that Vikunja defaults to a single instance with always-allocated CPU because it runs an in-process reminder scheduler. -
Update the application version by changing the version input in the RAD platform and applying it via Update; a new image builds and a new revision rolls out. Vikunja runs any new schema migrations on startup.
-
Manage secrets and backups:
gcloud secrets list --project="$PROJECT" --filter="name~vikunja"
gcloud run jobs list --project="$PROJECT" --region="$REGION" # init + scheduled backup jobs -
Open a database session for inspection or maintenance:
INSTANCE=$(gcloud sql instances list --project="$PROJECT" --format="value(name)" --limit=1)
gcloud sql connect "$INSTANCE" --user=vikunja --project="$PROJECT"
Task 4 — Observe: Logging & Monitoring [Manual]
-
Logs — from the CLI or the Logs Explorer:
gcloud run services logs read "$SERVICE" --project="$PROJECT" --region="$REGION" --limit=50Logs Explorer filter:
resource.type="cloud_run_revision" AND resource.labels.service_name="<service>". -
Monitoring — open the Cloud Run dashboard for the service and review request count, request latency (P50/P95/P99), instance count, and CPU / memory utilisation. The module also provisions an uptime check; confirm it is green under Monitoring → Uptime checks, and review Alerting → Policies.
Task 5 — Troubleshoot & debug [Manual]
Durable techniques for the failure modes you are most likely to hit. These are platform-level diagnostics and do not change with Vikunja releases.
- Revision unhealthy / service won't serve: inspect the latest revision and its
logs for startup errors, and confirm env vars and secrets resolved. The startup
probe targets
/health; the entrypoint logs the resolved DB host, name, user, and public URL on boot.gcloud run revisions list --service="$SERVICE" --project="$PROJECT" --region="$REGION"
gcloud run services logs read "$SERVICE" --project="$PROJECT" --region="$REGION" --limit=100 - Database connection errors (
invalid port after host,pg_hba/ SSL): Vikunja connects over the Cloud SQL private IP withsslmode=require, not the socket. Confirm the Cloud SQL instance isRUNNABLE, the DB password secret exists, and the init job completed. A "SSL is not enabled" error means the entrypoint resolved loopback instead of the private IP. - Initialisation job failed: list executions and read the failed one's logs:
gcloud run jobs executions list --job="${SERVICE}-db-init" \
--project="$PROJECT" --region="$REGION" - Image build failed / container won't exec: review Cloud Build history. If the
container exits immediately, confirm the custom build (busybox graft) ran —
prebuiltdeploys the shell-lessscratchimage and cannot exec the entrypoint. - 403 / permission errors: verify the runtime service account's IAM roles.
See the Configuration Guide's Configuration Pitfalls section for setting-specific
gotchas (including the rule never to rotate VIKUNJA_SERVICE_JWTSECRET after first
boot).
Task 6 — Tear down [Automated]
On the Deployments page, open the deployment and click the Trash icon (Delete). Delete runs terraform destroy and is irreversible (the deployment record is retained for history). If a deployment is stuck and the RAD platform can no longer manage it (for example after manual changes that conflict with the Terraform state), use Purge instead — it removes the deployment from RAD's records without destroying the cloud resources (it makes RAD forget the project). This removes everything the module created — the Cloud Run service,
Cloud SQL database, Secret Manager secrets, and Artifact Registry images. Resources
owned by Services_GCP (the VPC, shared Cloud SQL, registry) are managed
separately and are not removed here.
Summary
| Task | Type | Outcome |
|---|---|---|
| 1 — Deploy | Automated | Module provisions Cloud Run, Cloud SQL (PostgreSQL 15), secrets, builds the image, and runs DB init |
| 2 — Access & verify | Manual | Health check passes; register the first (owner) account in the UI |
| 3 — Operate | Manual | Inspect revisions, scale, update version, manage secrets/backups, DB access |
| 4 — Observe | Manual | Query Cloud Logging; review Cloud Monitoring metrics and uptime check |
| 5 — Troubleshoot | Manual | Diagnose revision, database, init-job, build, and IAM issues |
| 6 — Tear down | Automated | Delete (Trash) removes all module resources |