
Alexander is a writer, traveler, and serial digital entrepreneur. He’s the founder of the Tushi, the Gen X personal growth newsletter Further, and offers small business advice at Unemployable.

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Alexander Hipp


Anil is a content-obsessed marketer who loves driving organic traffic for outstanding companies. He is also the creator of Hack the Content, co-host of The Runner, and owner of several digital commerce sites.

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Anil Vugels


Monika is a writer, musician, and content strategist with a passion for language. When she isn’t helping clients, you can find her writing songs, hiking in a northern forest, or furiously journaling.

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Ann Monika

Programmer / Founder / Student

Tim Schupp


N8n is a cool workflow and automation tool, that has a fair free plan and public code policy.
The community edition can be used and self-hosted by anybody, though it doesn't offer all the features n8n-cloud does.

For example the community edition doesn't allow synchronizing workflows and changes to a github repository.
But that's no issue really cause we can just craft a simple n8n workflow, that easily synchronizes all workflows into a private repo.

> If you don't have n8n set up yet, see my post on [self-hosting n8n on Kubernetes](/blog/n8n-on-kubernetes).

### Workflow setup

N8n has a n8n-trigger, for when an active workflow was updated.
This trigger can be used to run a workflow in the moment when it is saved.

Using this we can craft a simple workflow that accepts a n8n workflow ID and uses that and some github credentials to store the workflow as JSON inside a repository.

![N8n workflow](/static/assets/n8n_self_backup_workflow.png)

### (optional) Automatic Credentials Backup

Also if you followed my other blog post on [installing n8n in kubernetes](/blog/n8n-on-kubernetes), you can also add a simple workflow that allows you to automatically backup your n8n credentials, every time a workflow is changed.

This workflow runs a GitHub Actions workflow and waits for its completion. The GitHub workflow uses stored secrets and an encrypted data store to access your Kubernetes cluster, downloads the credentials from the running n8n pod, then saves them encrypted to your repository.

The setup handles all the Kubernetes complexity—you just need to configure GitHub secrets for cluster access and point the workflow at your n8n namespace.

> If someone wants the actual workflow configurations, they should write me an email at `tim+blog@timschupp.de`.

A n8n workflow setup, that synchronizes workflow and credential changes directly to github

n8n community edition: synchronize workflows to github


n8n is a flexible, open-source workflow automation tool that runs well on a small self-hosted cluster. Below is a lean, production-minded setup using a maintained Helm chart. This mirrors my usual pattern: keep it simple, make it reproducible, and put it behind ingress with TLS.

### Helm chart

Maintained chart: [`8gears/n8n-helm-chart`](https://github.com/8gears/n8n-helm-chart) — solid defaults, clear values, and active maintenance by the 8gears team. Kudos to the authors and maintainers for keeping queue mode, probes, lifecycle hooks, and ingress settings tidy and well-documented.

> If you’re new to Kubernetes on a VPS, see my Microk8s setup first: [/blog/microk8s-on-vps](/blog/microk8s-on-vps)

### Example values

Sanitize hosts and secrets for your environment. This example uses `ClusterIP` with `nginx` and `cert-manager`.

```yaml
persistence:
  enabled: true

image:
  repository: n8nio/n8n
  pullPolicy: IfNotPresent
ingress:
  enabled: true
  className: "nginx"
  annotations:
    kubernetes.io/ingress.class: "nginx"
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
    nginx.ingress.kubernetes.io/proxy-body-size: "50m"
    nginx.ingress.kubernetes.io/backend-protocol: "HTTP"
    nginx.ingress.kubernetes.io/ssl-redirect: "true"
  hosts:
    - host: n8n.t1m.me
      paths:
        - "/"
  tls:
    - hosts:
        - n8n.t1m.me
      secretName: n8n-example-com-tls
main:
  replicaCount: 1
  deploymentStrategy:
    type: Recreate
  persistence:
    enabled: true
    type: "dynamic"
    mountPath: "/home/node/.n8n"
    storageClass: "<your-default-storage-class>"
    size: 8Gi
    accessModes:
      - ReadWriteOnce
    annotations:
      helm.sh/resource-policy: keep
  nodes:
    builtin:
      enabled: true
      modules:
        - ws
      reinstallMissingPackages: true
  service:
    type: ClusterIP
    port: 5678
  config:
    n8n:
      host: "n8s.<your-domain>"
      protocol: "https"
      port: 5678
      editor_base_url: "https://n8s.<your-domain>"
      webhook_url: "https://n8s.<your-domain>"
      secure_cookie: "true"
      proxy_hops: 1
      log_level: "info"
      diagnostics_enabled: "false"
    db:
      type: "sqlite"
  secret:
    n8n:
      encryption_key: "CENSORED"
scaling:
  enabled: false
  worker:
    replicaCount: 0
  webhook:
    enabled: false
    replicaCount: 0
```

Notes:
- For quick single-node or hobby deployments, `sqlite` is fine. For multi-node or longevity, pick Postgres.
- Set `encryption_key` to a long, random value. Rotating it will invalidate existing encrypted credentials.
- If you want queue mode, enable `scaling.enabled` and configure Redis (internal `valkey` or external Redis) as per the chart docs.
- The `persistence` block ensures your workflows and credentials survive pod restarts.
- `helm.sh/resource-policy: keep` prevents accidental data loss during Helm uninstalls.

### Install/upgrade commands

Run with your `kubeconfig.yaml` and a dedicated namespace:

```bash
KUBECONFIG=./kubeconfig.yaml kubectl create ns n8n
KUBECONFIG=./kubeconfig.yaml helm uninstall n8n -n n8n
KUBECONFIG=./kubeconfig.yaml helm upgrade --install n8n oci://8gears.container-registry.com/library/n8n --namespace n8n -f n8n-values.yaml
```

After the release becomes `READY`, n8n should be reachable at `https://n8n.t1m.me` (or your configured host).

### Verify persistence before going live

**Critical**: Before creating workflows or adding credentials, verify that the persistent volume is working correctly. A failed volume mount means data loss on pod restarts.

Check the pod status and volume mount:

```bash
KUBECONFIG=./kubeconfig.yaml kubectl get pods -n n8n
KUBECONFIG=./kubeconfig.yaml kubectl describe pod -n n8n -l app.kubernetes.io/name=n8n
```

Look for:
- Pod status: `Running`
- Volume mount: `/home/node/.n8n` should be mounted from your PVC
- No volume-related errors in events

Test persistence by creating a simple workflow, restarting the pod, and verifying it still exists:

```bash
# Restart the pod to test persistence
KUBECONFIG=./kubeconfig.yaml kubectl delete pod -n n8n -l app.kubernetes.io/name=n8n
```

If your workflows disappear after the restart, the volume mount failed. Check your storage class and PVC status:

```bash
KUBECONFIG=./kubeconfig.yaml kubectl get pvc -n n8n
KUBECONFIG=./kubeconfig.yaml kubectl describe pvc -n n8n
```

### Credential management via CLI

n8n includes a CLI for bulk credential operations. Access the container and use these commands:

```bash
# Get into the running pod
KUBECONFIG=./kubeconfig.yaml kubectl exec -it -n n8n deployment/n8n -- /bin/sh

# Export all credentials (decrypted)
n8n export:credentials --all --decrypted --output=credentials.json

# Import credentials from file
n8n import:credentials --input=credentials.json
```

This is useful for:
- Backing up credentials before major updates
- Migrating between n8n instances
- Disaster recovery scenarios

**Security note**: The `--decrypted` flag exports credentials in plain text. Handle these files with extreme care and delete them immediately after use.

### Bulk restore / import n8n json workflows

For migrating workflows from another n8n instance or restoring from backups, you can bulk import JSON workflow files directly into your Kubernetes deployment.

Download and run the restoration script:

```bash
curl -fsSL https://raw.githubusercontent.com/tbscode/tims-blog-posts/refs/heads/main/assets/restore_workflow_json_files.sh -o restore_workflow_json_files.sh
chmod +x restore_workflow_json_files.sh
export KUBECONFIG=<your-kubeconfig>
SRC_DIR=<local-dir-containing-workflows>
./restore_workflow_json_files.sh $SRC_DIR
```

The script will:
- Find your running n8n pod automatically
- Upload all `.json` files from the specified directory
- Import each workflow using the n8n CLI
- Provide a summary of successful/failed imports
- Clean up temporary files

This makes it trivial to migrate workflows between n8n instances or restore from backups. The script handles all the Kubernetes complexity, so you just point it at a folder of JSON files.

> For automatic workflow and credential synchronization to GitHub, see my post on [synchronizing n8n workflows to GitHub](/blog/n8n-auto-saving-workflows-community-edition).

### Hardening checklist

- Switch to Postgres for production and enable persistent volumes.
- Keep `secure_cookie: true` and TLS on end-to-end; n8n stores credentials for integrations.
- Limit ingress access (e.g., IP allowlists) if you only need the editor from trusted networks.
- Set `N8N_USER_MANAGEMENT_DISABLED=false` and create dedicated users; enable 2FA on your IdP if applicable.
- Regularly backup your persistent volume and test restore procedures.
- Monitor PVC usage to avoid running out of storage space.

### About the chart authors

The chart is maintained by the 8gears team and contributors. The repository is here: [`8gears/n8n-helm-chart`](https://github.com/8gears/n8n-helm-chart). They’ve done a great job exposing n8n’s core options (readiness/liveness probes, deployment strategies, webhook and worker modes, and Redis/Valkey integration) in a clean values structure.

That’s it—small, clean, and easy to back up. Perfect fit for a self-hosted automation hub.


Minimal, repeatable setup to run n8n with TLS behind nginx ingress using the 8gears Helm chart.

Self-Hosted n8n on Kubernetes (Helm chart)


- [the python script](https://github.com/tbscode/tims-blog-posts/blob/main/assets/send_slack_message.py)

Need to notify your team about deployment status on Slack? Automate the process using the slack_sdk Python package with GitHub Actions. Here's how to set it up step by step:

### Creating Your Slack App for Notifications

1. **Create a Slack App**: Go to the [Slack API](https://api.slack.com/apps) section, select 'Create New App', input a name, and choose your workspace.

2. **Set Permissions**: In the Slack app settings, navigate to 'Features' > 'OAuth & Permissions'. Under 'Scopes', add `chat:write` for your bot to send messages. Once you save changes, click 'Install to Workspace'.

3. **Retrieve Your Slack Bot Token**: After installing the app to your workspace, grab your 'Bot User OAuth Token' from the 'OAuth & Permissions' page. Securely store this token as it will be used to authenticate your GitHub Actions script.

### Setting Up GitHub Actions to Send Slack Notifications

First, include your Slack API token as a secret in your GitHub repository:

1. In your GitHub repo, go to 'Settings', then 'Secrets'.
2. Select 'New Repository Secret', and add your Slack API token under `SLACK_API_TOKEN`.

Now, integrate the `send_slack_message.py` script with your deployment process:

```python
# send_slack_message.py
import os
from slack_sdk import WebClient

client = WebClient(token=os.environ["SLACK_API_TOKEN"])

response = client.chat_postMessage(
    channel=os.environ["CHANNEL_ID"],
    mrkdwn=True,
    text=os.environ["MESSAGE"],
)

print(response["message"]["text"])
```

Add a GitHub Actions step in your workflow to execute the notification script:

```yaml
jobs:
  deployment:
    runs-on: ubuntu-latest
    steps:
      # ... previous steps for deployment ...
      
      - name: Notify Slack Channel
        env:
          SLACK_API_TOKEN: ${{ secrets.SLACK_API_TOKEN }}
          CHANNEL_ID: 'your-channel-id'
          MESSAGE: "*Deployment Update*\nImage: ${{ steps.build.outputs.IMAGE_URL }}\nURL: ${{ steps.deploy.outputs.WEBSITE_URL }}"
        run: |
          pip install slack_sdk
          wget -qO- https://raw.githubusercontent.com/tbscode/tims-blog-posts/main/assets/send_slack_message.py | python3 -
```

Replace `your-channel-id` with the actual Slack channel ID where you wish to send notifications. 

> Replace the script url with a self hosted fork of [send_slack_message.py](https://github.com/tbscode/tims-blog-posts/blob/main/assets/send_slack_message.py)

Remember to update the `MESSAGE` variable with relevant details for your deployment, such as image URL or site URL.

Executing the GitHub Action with these configurations will automatically send your predefined message to the designated Slack channel, informing your team about the latest deployment status.

Your GitHub Actions workflow now works seamlessly with Slack for real-time notifications!

Set up Slack notifications for deployments using GitHub Actions and the Python slack_sdk package, keeping your team updated automatically.

Automation

n8n community edition: synchronize workflows to github

Self-Hosted n8n on Kubernetes (Helm chart)

Send Slack Notifications on Deployments with GitHub Actions