EspoCRM on Cloud Run — Lab Guide
Overview
Estimated time: 45–90 minutes
EspoCRM is an open-source, GPLv3-licensed Customer Relationship Management platform built on PHP and Apache. This lab takes you through the full operational lifecycle of the EspoCRM 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 EspoCRM product features (contacts, leads, opportunities, workflows). 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 the CRM, retrieve the auto-generated admin credential, and verify the service is healthy and connected to its database.
- Perform day-2 operations — inspect, scale, update, and manage secrets, NFS storage, and the database.
- 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, Filestore NFS, 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 EspoCRM (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 (MySQL 8.0) database with its Secret Manager secrets (
ESPOCRM_ADMIN_PASSWORDand the database password), aespocrm-dataCloud Storage bucket (provisioned but not mounted by default), a shared Filestore NFS volume mounted at/var/lib/espocrmfor uploads (enable_nfs = trueby default), builds the container image, and runs a one-shot database-initialisation job. The upstream EspoCRM installer then runs its own install/migrate step automatically on first container boot. First deploys take roughly 20–35 minutes (Cloud SQL and Filestore creation dominate). -
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="$REGION" \
--filter="metadata.name~espocrm" --format="value(metadata.name)" --limit=1)
SERVICE_URL=$(gcloud run services describe "$SERVICE" \
--project="$PROJECT" --region="$REGION" --format="value(status.url)")
echo "Service: $SERVICE"
echo "URL: $SERVICE_URL"
Task 2 — Access & verify [Manual]
-
Confirm the service is serving its login page (EspoCRM's liveness endpoint is the unauthenticated login screen at
/,200once the install/migrate step has finished — allow several minutes on first boot):curl -s -o /dev/null -w "%{http_code}\n" "$SERVICE_URL/" # expect 200 -
Retrieve the auto-generated administrator password from Secret Manager — EspoCRM's installer creates the
adminuser with this password on first boot, there is no separate account-creation step:gcloud secrets versions access latest \
--secret="secret-<resource_prefix>-espocrm-admin-password" --project="$PROJECT" -
Open
$SERVICE_URLin a browser and log in asadminwith the retrieved password. Change the password immediately under Administration → Users — the auto-generated value only seeds the first install; losing it later requires a database-level reset.
Task 3 — Operate & keep it running (Day-2) [Manual]
-
Inspect the service and its revisions (each deploy creates an immutable revision; traffic shifts to the newest healthy one):
gcloud run services describe "$SERVICE" --project="$PROJECT" --region="$REGION"
gcloud run revisions list --service="$SERVICE" --project="$PROJECT" --region="$REGION" -
Scale by changing the min/max instance inputs and clicking Update on the deployment details page — the module owns the service spec, so scaling is a configuration change, not a manual
gcloudedit (a manual edit would be reverted on the next apply).max_instance_countdefaults to1: Cloud Run has no built-in session affinity, so verify EspoCRM's behaviour under concurrent PHP sessions across replicas before scaling beyond one instance. -
Update the application version by changing the version input in the RAD platform and applying it via Update; a new image builds and a new revision rolls out.
-
Manage secrets and NFS storage:
gcloud secrets list --project="$PROJECT" --filter="name~espocrm"
gcloud filestore instances list --project="$PROJECT" # backs /var/lib/espocrm uploads
gcloud run jobs list --project="$PROJECT" --region="$REGION" # db-init job -
Open a database session for inspection or maintenance:
INSTANCE=$(gcloud sql instances list --project="$PROJECT" --format="value(name)" --limit=1)
gcloud sql connect "$INSTANCE" --user=espocrm --project="$PROJECT" -
Enable Redis (optional) to offload EspoCRM's object cache from MySQL: set
enable_redis = trueand apply via Update; leaveredis_hostempty to reuse the NFS server's IP as the Redis endpoint.
Task 4 — Observe: Logging & Monitoring [Manual]
-
Logs — from the CLI or the Logs Explorer. The container prints its resolved
ESPOCRM_DATABASE_*andESPOCRM_SITE_URLvalues at startup, a quick way to confirm the DB host and site URL in use:gcloud run services logs read "$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 (scaling behaviour), 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 EspoCRM releases.
- Revision unhealthy / service won't serve: inspect the latest revision and its
logs for startup errors. The startup probe is TCP on port
80; the liveness probe isHTTP GET /with a 300-second initial delay to allow the install/migrate step to finish on first 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: confirm the Cloud SQL instance is
RUNNABLE, and that thedb-initjob completed — EspoCRM connects over private-IP TCP (not a socket) by default, so VPC egress must reach the instance's 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" - Uploads missing after a restart: confirm
enable_nfs = trueand the Filestore instance is healthy — without NFS, attachments live on ephemeral container disk and are lost when an instance is recycled. - Image build failed: review Cloud Build history for the failed build's log.
- 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 immutability of db_name/db_user after first deploy and the
one-time-only nature of the auto-generated admin password).
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, GCS buckets, and Artifact Registry images. Resources owned by
Services_GCP (the VPC, shared Cloud SQL, the Filestore NFS instance, registry) are
managed separately and are not removed here.
Summary
| Task | Type | Outcome |
|---|---|---|
| 1 — Deploy | Automated | Module provisions Cloud Run, Cloud SQL (MySQL 8.0), secrets, storage bucket + NFS mount, and runs DB init |
| 2 — Access & verify | Manual | Login page returns 200; retrieve the auto-generated admin password and log in |
| 3 — Operate | Manual | Inspect revisions, scale, update version, manage secrets/NFS, DB access, optional Redis |
| 4 — Observe | Manual | Query Cloud Logging; review Cloud Monitoring metrics and uptime check |
| 5 — Troubleshoot | Manual | Diagnose revision, database, init-job, NFS, and build issues |
| 6 — Tear down | Automated | Delete (Trash) removes all module resources |