Skip to main content
Version: Next 🚧

Cleaning up stale caches

Epinio provides a maintenance API endpoint to clean up stale caches on Persistent Volumes (PVs) related to application pods. This helps maintain data hygiene by automatically removing caches that have been unused for an extended period.

Overview​

The cleanup process identifies caches that have been stale for a specified number of days (default: 30 days) by comparing the last build time and creation time. Caches that exceed the stale threshold are invalidated (deleted).

API Endpoint​

The cleanup endpoint is available at:

POST /api/v1/maintenance/cleanup-stale-caches
GET /api/v1/maintenance/cleanup-stale-caches

Both endpoints support the same functionality:

  • POST: Accepts parameters in JSON body (recommended for complex configurations)
  • GET: Accepts parameters as query strings (useful for cron jobs and simple scripts)

Parameters​

  • staleDays (integer, optional): Number of days after which a cache is considered stale. Default is 30 days.
  • checkAppExists (boolean, optional): If true, only delete caches for applications that no longer exist. This prevents deleting caches for active applications. Default is true for safety.
  • dryRun (boolean, optional): If true, the endpoint will only report what would be deleted without actually deleting anything. Default is false.

Authentication​

The API requires admin-level authentication. Only users with admin privileges can access this endpoint. You can get your credentials using:

epinio config show

Usage Examples​

Using curl with GET request (query parameters)​

curl -u username:password \
"http://epinio-server/api/v1/maintenance/cleanup-stale-caches?staleDays=30&checkAppExists=true&dryRun=false"

Using curl with POST request (JSON body)​

curl -u username:password \
-X POST "http://epinio-server/api/v1/maintenance/cleanup-stale-caches" \
-H "Content-Type: application/json" \
-d '{"staleDays": 30, "checkAppExists": true, "dryRun": false}'

Dry run mode​

To preview what would be deleted without actually deleting anything:

curl -u username:password \
-X POST "http://epinio-server/api/v1/maintenance/cleanup-stale-caches" \
-H "Content-Type: application/json" \
-d '{"staleDays": 30, "checkAppExists": true, "dryRun": true}'

Automated Cleanup with Kubernetes CronJob​

You can automate the cleanup process by creating a Kubernetes CronJob that runs periodically. This example runs daily at 2 AM:

apiVersion: batch/v1
kind: CronJob
metadata:
name: epinio-cache-cleanup
namespace: epinio
spec:
schedule: "0 2 * * *" # Run daily at 2 AM
jobTemplate:
spec:
template:
spec:
containers:
- name: cleanup
image: curlimages/curl:latest
command:
- /bin/sh
- -c
- |
curl -u ${EPINIO_USERNAME}:${EPINIO_PASSWORD} \
-X POST "http://epinio-server.epinio.svc.cluster.local/api/v1/maintenance/cleanup-stale-caches" \
-H "Content-Type: application/json" \
-d '{"staleDays": 30, "checkAppExists": true, "dryRun": false}'
restartPolicy: OnFailure

Applying the CronJob​

Save the above YAML to a file (e.g., cache-cleanup-cronjob.yaml) and apply it:

kubectl apply -f cache-cleanup-cronjob.yaml

Customizing the schedule​

You can adjust the schedule using cron syntax. For example:

  • "0 2 * * *" - Daily at 2 AM
  • "0 0 * * 0" - Weekly on Sunday at midnight
  • "0 0 1 * *" - Monthly on the 1st at midnight
  • "0 */6 * * *" - Every 6 hours

Adding authentication​

If your Epinio server requires authentication, you'll need to provide credentials. You can use a Kubernetes Secret:

apiVersion: v1
kind: Secret
metadata:
name: epinio-credentials
namespace: epinio
type: Opaque
stringData:
username: your-username
password: your-password

Then update the CronJob to use the secret:

apiVersion: batch/v1
kind: CronJob
metadata:
name: epinio-cache-cleanup
namespace: epinio
spec:
schedule: "0 2 * * *"
jobTemplate:
spec:
template:
spec:
containers:
- name: cleanup
image: curlimages/curl:latest
env:
- name: EPINIO_USERNAME
valueFrom:
secretKeyRef:
name: epinio-credentials
key: username
- name: EPINIO_PASSWORD
valueFrom:
secretKeyRef:
name: epinio-credentials
key: password
command:
- /bin/sh
- -c
- |
curl -u ${EPINIO_USERNAME}:${EPINIO_PASSWORD} \
-X POST "http://epinio-server.epinio.svc.cluster.local/api/v1/maintenance/cleanup-stale-caches" \
-H "Content-Type: application/json" \
-d '{"staleDays": 30, "checkAppExists": true, "dryRun": false}'
restartPolicy: OnFailure

Response Format​

The API returns a JSON response with the following structure:

{
"deletedCount": 5,
"staleCaches": [
{
"pvcName": "namespace-cache-appname-abc123",
"appName": "appname",
"appNamespace": "namespace",
"lastBuildTime": "2024-01-01T00:00:00Z",
"daysSinceBuild": 35
}
],
"errors": [],
"dryRun": false
}
  • deletedCount: Number of cache PVCs successfully deleted
  • staleCaches: Array of cache information for all stale caches found
  • errors: Array of error messages if any deletions failed
  • dryRun: Whether the operation was a dry run

Best Practices​

  1. Start with dry run: Always test with dryRun: true first to see what would be deleted.
  2. Use checkAppExists: Keep checkAppExists: true (the default) to prevent deleting caches for active applications. Only set it to false if you explicitly want to delete caches for apps that still exist.
  3. Regular cleanup: Set up a CronJob to run cleanup periodically to prevent cache accumulation.
  4. Monitor results: Check the API response to understand how many caches were cleaned up and review any errors.
  5. Adjust staleDays: Depending on your workload, you may want to adjust the staleDays parameter. Longer periods preserve more caches but use more storage.
  6. Schedule during low activity: Run cleanup during off-peak hours to minimize impact on active builds.

Safety Features​

  • App existence check: By default, the cleanup only deletes caches for applications that no longer exist, preventing accidental deletion of caches for active apps.
  • Dry-run mode: Test cleanup operations without actually deleting anything.
  • Error handling: Errors are collected and returned in the response, but don't stop the cleanup process for other caches.
  • Admin-only access: The endpoint requires admin-level authentication to prevent unauthorized cleanup operations.