Radicale on Google Cloud Run
Radicale is an open-source, self-hosted CalDAV/CardDAV server for calendar and contacts sync — a lightweight, pure-Python WSGI application with no framework and no database. It stores every calendar and address book as plain iCalendar/vCard files on disk. This module deploys Radicale on Cloud Run v2 on top of the App_CloudRun foundation, which provisions and manages the shared Google Cloud infrastructure.
This guide focuses on the cloud services Radicale uses and how to explore and operate them from the Google Cloud Console and the command line. For the mechanics common to every Cloud Run application — service identity, ingress and load balancing, scaling and concurrency, CI/CD, Cloud Armor, IAP, Binary Authorization, VPC Service Controls, backups, and the deployment lifecycle — refer to the App_CloudRun foundation guide rather than repeating them here.
What Radicale costs on RAD, and how that compares
Running Radicale in your own Google Cloud project costs about US$17.58/month in infrastructure, plus a one-time module fee of 40 RAD credits (sized at 1 vCPU / 1 GiB on a scale-to-zero Cloud Run instance). RAD charges the module fee once, at deploy time — never again on Update — plus build time metered in credits; Google Cloud usage itself is billed to your own billing account at Google's list price. On a RAD-managed project the same resources are metered hourly in credits at list price plus RAD's margin — about 3 credits/day — and the module fee is 10% lower, at 36 credits. See "Pause it for free" below for how a RAD-managed Radicale deployment can be stopped, at no running cost, until you need it again. (or see the GKE guide if you need Kubernetes)
What you pay on RAD
| Item | Own project | RAD-managed project |
|---|---|---|
| Module fee | 40 credits (once) | 36 credits (once) |
| Build time | ~3-6 credits, metered per build minute | same, metered in credits at list price + RAD's margin |
| Google Cloud running cost | ~$17.58/month, billed to your own billing account at Google's list price | ~3 credits/day, metered hourly at list price + RAD's margin |
Default running cost in your own project
| Resource | US$/month (Google list price, us-central1) |
|---|---|
| Cloud Run, 1x vCPU / 1 GiB (scaleToZero) | 11.58 |
| Cloud NAT and networking | 5 |
| Cloud Storage (add-ons, backups) | 1 |
| Total | $17.58 |
How it compares
- We could not verify a current, directly-comparable commercial SaaS price for this exact open-source project, so the honest comparison is a bare self-managed server: Hetzner CPX22 (2 vCPU/4GB,
$24/mo), a DigitalOcean 2 vCPU/4GB Droplet ($24/mo), or a GCP Compute Engine e2-standard-2 (2 vCPU/8GB, ~$49/mo). This app's own footprint (1 vCPU or less, 1 GiB or less) is smaller than any of those classes, so a bare self-managed box sized to match would cost less than the figures above — but you would still own every patch, backup and security update yourself. - RAD is not claiming to beat a bare VPS on sticker price — it usually does not. What RAD adds for the same or a similar dollar figure is a managed database, Secret Manager-held credentials, monitoring, and one-click Update, none of which a bare VPS gives you for free.
- On a bare VPS you are the one applying OS/database security patches, taking and testing backups, and renewing certificates; RAD's managed Cloud SQL, Secret Manager and monitoring handle all three for you.
Pause it for free: delete a RAD-managed project, restore it when you need it
This is the headline option on a RAD-managed project, and it is free while paused. Deleting a RAD-managed project first unlinks its billing, then asks Google to delete the project itself — Google's own 30-day recoverable soft delete. Unlike deleting a single module, this does not tear down the database, any VM, or the compute resource one at a time: the whole project simply stops, and because billing is already unlinked, nothing is charged while it waits.
Restoring — within 30 days, and only by the project's owner — asks Google to undelete the project and reattaches its billing account, then asks you to run Update on each deployment to confirm everything came back. Because nothing was individually destroyed, that Update finds the same resources already there: it is a check, not a rebuild, and an Update never charges the module fee again. The whole restore costs only a handful of credits (under US$1) in build time for a typical chain of deployments. What this needs: you must own the project (not merely have RAD manage its billing), you must restore it yourself within the 30 days — after that Google deletes it for good — and restoring is admitted like creating a new project, so your purchased credit balance must still clear the tier's floor (100 credits for the sandbox tier most study and demo use fits). Google says most services are fully working again within 36 hours of a restore.
One real gap: nightly backups are written to a bucket inside the project, and that bucket has Cloud Storage's soft-delete explicitly turned off, so the backup bucket is very likely gone as soon as you delete the project — even though the project itself is recoverable for 30 days. If you have customised this deployment and want to keep that work, copy a backup out (to Google Drive, or a bucket outside the project) before deleting. For a default install with nothing irreplaceable in it, this does not matter.
Pay only while you use it, the other way: delete and redeploy
The other lever, for an own project (or a RAD-managed one past its 30-day restore window), is to delete Radicale outright and redeploy it later. A redeploy costs the module fee again plus the builds — roughly 43-46 credits in total for this module.
Deleting only saves money once Radicale would otherwise sit unused long enough to clear that redeploy cost against its own running cost — for this module, that is about 8 days or more of being idle, based on its own US$17.58/month running cost above. Most of that running cost is usually the database and any shared file/cache VM, and they stop only once nothing else in the project uses them, so deleting this app alone saves only its own compute share if something else shares the project.
Keep data first: nightly backups go to a bucket inside the deployment and are deleted with it, so copy the latest backup out before deleting if you want to keep it.
Lab sessions and Managed Environments
- Lab sessions, for training: a trainer runs a session for a class. Each participant gets the app in their own Google Cloud project for 15 minutes to 24 hours, within an allowance the trainer sets. Either the trainer funds every place, or each participant pays for their own. Everything is deleted when the session ends and unused credits go back to the trainer.
- Managed Environments, for consultancies: a partner runs the app for a client from a ring-fenced wallet it funds, and settles with the client directly. If the wallet runs low, billing pauses and the data is kept, so nobody receives an unexpected charge. At the end the partner hands the project over and the deployments become the client's own.
- Credits can be bought in more than 20 currencies, including XAF, XOF, NGN, GHS, KES and ZAR, by card, bank transfer or mobile money.
Sources (8 October 2026): Google Cloud Billing Catalog API list prices; radmodules.dev/pricing for RAD's own fees and daily-credit estimates; Resource Manager: delete and restore projects for the pause/restore mechanics.
1. Overview
Radicale runs as a single Python WSGI container on Cloud Run v2. The deployment wires together a small, focused set of Google Cloud services:
| Capability | Google Cloud service | Notes |
|---|---|---|
| Compute | Cloud Run v2 | Single Python process, 1 vCPU / 1 GiB by default, scale-to-zero |
| Database | none | Radicale stores every collection as plain files — no Cloud SQL instance is created |
| Object storage | Cloud Storage | A storage bucket is mounted at /var/lib/radicale via GCS FUSE — the single source of truth for all data |
| Cache & queue | none | Radicale has no Redis or queue dependency |
| Secrets | Secret Manager | A real generated ADMIN_PASSWORD — Radicale ships with no default admin account at all |
| Ingress | Cloud Run URL | Default run.app URL; optional external HTTPS load balancer + custom domain |
Sensible defaults worth knowing up front:
- No database of any kind.
Radicale_Commonfixesdatabase_type = "NONE"— Radicale is a pure filesystem store. - Custom, thin-wrapper build.
Radicale_Commonlayers a cloud entrypoint onto the officialghcr.io/kozea/radicaleimage via Cloud Build, then mirrors the result into Artifact Registry. - No default admin account — a real generated secret. Unlike apps that
ship a well-known first-login credential, Radicale's auth defaults to
denyalluntil configured.Radicale_Commongenerates and injects a realADMIN_PASSWORDon every deployment (see the Common guide). max_instance_countpinned to1,min_instance_countdefaults to0. Radicale's storage backend is not designed for concurrent multi-instance access, but has no database/index to warm at boot, so scale-to-zero is safe and fast.- MKCOL is blocked at the edge on Cloud Run — read §3 before you deploy.
Creating a new calendar/address book normally requires the WebDAV
MKCOLmethod, which Google's Cloud Run frontend rejects before it ever reaches the container. A default seed job works around this — see below.
2. Google Cloud Services & How to Explore Them
All commands assume PROJECT and REGION are set. Service and resource
names are reported in the deployment Outputs.
A. Cloud Run — the Radicale service
- Console: Cloud Run → select the service for revisions, traffic, logs, and metrics.
- CLI:
gcloud run services list --project "$PROJECT" --region "$REGION"
gcloud run services describe <service-name> --project "$PROJECT" --region "$REGION"
See App_CloudRun for scaling, concurrency, and traffic splitting.
B. Cloud Storage — the single source of truth
The storage bucket is mounted at /var/lib/radicale via GCS FUSE. Every
calendar, address book, item, and the generated htpasswd/config files live
here — losing this bucket loses all Radicale state.
- CLI:
gcloud storage buckets list --project "$PROJECT" --filter="name~radicale"
gcloud storage ls "gs://<bucket-name>/collections/collection-root/"
C. Secret Manager
- CLI:
gcloud secrets list --project "$PROJECT" --filter="name~radicale"
gcloud secrets versions access latest --secret=<secret-name> --project "$PROJECT"
D. Networking & ingress
- CLI:
gcloud run services describe <service-name> --region "$REGION" --format='value(status.url)'
E. Cloud Logging & Monitoring
- CLI:
gcloud run services logs read <service-name> --project "$PROJECT" --region "$REGION" --limit 50
3. Radicale Application Behaviour
- No first-deploy database setup. There is no
db-initjob — Radicale has no database to bootstrap. seed-default-collectionsruns at deploy time. A one-shot initialization Job (execute_on_apply = true) writes a "Default Calendar" and "Default Address Book" directly onto the storage volume for the admin user, bypassing HTTP entirely. This exists because of a genuine platform limitation — see the callout below.- No default admin account. Radicale's auth defaults to
denyalluntil an htpasswd file exists.Radicale_Commongenerates a realADMIN_PASSWORDand the cloud entrypoint writes both the INI config and a bcrypt htpasswd entry on every boot (not just first boot — there's no user table to check "already initialized" against). - Health path. Startup and liveness probes target
/— Radicale's unauthenticated302redirect to its web UI, treated as healthy by both probe types. - Inspect job execution:
gcloud run jobs executions list --job <job-name> --project "$PROJECT" --region "$REGION"
⚠ MKCOL is blocked by Cloud Run's frontend — the most important thing to know about this module
Creating a new collection (calendar or address book) via the standard
CalDAV/CardDAV protocol requires the WebDAV MKCOL HTTP method. Confirmed
live through extensive debugging across three separate deployment attempts:
- Google's Cloud Run frontend (GFE) rejects
MKCOLat the edge with a generic "400 Bad Request" Google error page — the request never reaches the Radicale container. Every other method (GET, PUT, PROPFIND) passes through fine; this is specific to MKCOL. - Cloud Run services have no shell/exec access, so there is no manual operator workaround after the fact either.
- Without a fix, a fresh
Radicale_CloudRundeployment would be unable to create any calendar — not through a standard client (Apple Calendar, Thunderbird, DAVx5), and not even through Radicale's own web UI, which also issues MKCOL internally.
The fix: Radicale_Common's default seed-default-collections init job
writes the collection directory structure directly onto the storage volume —
a plain container with filesystem access, no HTTP/GFE layer involved. This
runs automatically on every deploy (execute_on_apply = true) and seeds a
"Default Calendar" and "Default Address Book" for the admin user. Verified
live: a PROPFIND on the admin's principal correctly lists both collections,
and a real VEVENT can be PUT and GET successfully.
If you need additional collections beyond the two seeded defaults, you
cannot create them via a standard client on Cloud Run. Either supply a custom
initialization_jobs entry that writes them the same way, or use
Radicale_GKE, whose plain L4 LoadBalancer Service has no MKCOL restriction.
4. Configuration Variables
Variables are grouped exactly as they appear on the deployment platform. Only settings specific to or notable for Radicale are listed; every other input is inherited from App_CloudRun with its standard behaviour.
Group 3 — Application Identity
| Variable | Default | Description |
|---|---|---|
application_name | radicale | Base name for resources. |
application_display_name | Radicale | Human-readable name shown in the platform UI and Cloud Run console. |
application_version | latest | Resolves to the pinned build RADICALE_VERSION=3.7.7 — GHCR tags have no v prefix. |
Group 4 — Runtime & Scaling
| Variable | Default | Description |
|---|---|---|
container_port | 5232 | Radicale's native default port. |
min_instance_count / max_instance_count | 0 / 1 | Scale-to-zero; max is pinned to 1 non-negotiably. |
enable_image_mirroring | true | Mirrors the built image into Artifact Registry (avoids GHCR rate limits). |
container_protocol | http1 | Correct — Radicale serves plain HTTP/1.1. |
Group 11 — Storage & Filesystem
| Variable | Default | Description |
|---|---|---|
storage_buckets | one storage bucket | Mounted at /var/lib/radicale via GCS FUSE — the single source of truth for all Radicale state. |
gcs_volumes | [] | The storage bucket mount is added automatically; use this for additional volumes only. |
Group 12 — Database Backend
| Variable | Default | Description |
|---|---|---|
database_type | NONE | Fixed by Radicale_Common — Radicale has no database of any kind. |
Group 13 — Jobs & Scheduled Tasks
| Variable | Default | Description |
|---|---|---|
initialization_jobs | seed-default-collections (injected by Radicale_Common) | Works around the Cloud Run MKCOL restriction — see §3. Providing a custom list replaces this default entirely. |
Group 14 — Observability & Health
| Variable | Default | Description |
|---|---|---|
startup_probe / liveness_probe | HTTP / | Radicale's unauthenticated 302 redirect to its web UI; both probe types treat 2xx–3xx as healthy. |
5. Outputs
| Output | Description |
|---|---|
service_name / radicale_url | Cloud Run service name and internal/public URL (note: this output is named radicale_url, not service_url). |
storage_buckets | The storage bucket backing /var/lib/radicale. |
deployment_id / tenant_id / resource_prefix | Naming identifiers. |
project_id / project_number | Project identifiers. |
initialization_jobs | Created initialization job names (includes seed-default-collections). |
6. Configuration Pitfalls & Sensible Defaults
Risk: Critical (data loss / outage / security) — High (service degraded) — Medium (cost or partial degradation) — Low (minor).
| Setting | Sensible value | Risk | Consequence if wrong |
|---|---|---|---|
| Creating new collections via a CalDAV/CardDAV client | Rely on the seeded defaults, or use Radicale_GKE for arbitrary new collections | High | MKCOL is rejected at the Cloud Run edge (GFE) before reaching the container — no standard client, and not even Radicale's own web UI, can create a NEW collection on this platform. Only the two collections seeded at deploy time exist unless you supply a custom init job. |
max_instance_count | Leave at 1 | Critical | Radicale's storage backend uses OS-level file locking and is not designed for concurrent multi-instance access; raising this risks data corruption. |
| Admin credential | Retrieve from Secret Manager after first deploy | Critical | Unlike apps with a well-known default login, Radicale generates a real secret — there is no way to log in until you retrieve ADMIN_PASSWORD. |
stateful_pvc_enabled (n/a on Cloud Run) | Use Radicale_GKE for production | Medium | Cloud Run's GCS FUSE mount has weaker file-locking semantics than Radicale's storage backend expects; acceptable only because concurrency is capped at 1 instance. |
For the foundation behaviour referenced throughout — service identity, scaling and concurrency, ingress and load balancing, CI/CD, Cloud Armor, IAP, Binary Authorization, VPC-SC, backups, and image mirroring — see App_CloudRun. Radicale-specific application configuration shared with the GKE variant is described in Radicale_Common.
Related guides
- Hands-on lab: Radicale on Cloud Run — deploy it step by step, with the console screens and commands at each stage.
- Radicale on GKE Autopilot — the same application on Kubernetes, for when you need the other deployment target.
- Radicale Common — Shared Application Configuration — the configuration shared by both deployment targets.
- Deployed alongside Monica on Google Cloud Run, Cal.diy on Google Cloud Run, ActualBudget on Google Cloud Run in the Personal Organiser solution.
Need RAD to do something it does not do yet? Request it on the roadmap, or vote on what is already there.