79 lines
2.8 KiB
Markdown
79 lines
2.8 KiB
Markdown
# Deploy Langflow on Google Cloud Platform
|
|
|
|
**Duration**: 45 minutes
|
|
**Author**: [Robert Wilkins III](https://www.linkedin.com/in/robertwilkinsiii)
|
|
|
|
## Introduction
|
|
|
|
In this tutorial, you will learn how to deploy Langflow on [Google Cloud Platform](https://cloud.google.com/) (GCP) using Google Cloud Shell.
|
|
|
|
This tutorial assumes you have a GCP account and basic knowledge of Google Cloud Shell. If you're not familiar with Cloud Shell, you can review the [Cloud Shell documentation](https://cloud.google.com/shell/docs).
|
|
|
|
## Set up your environment
|
|
|
|
Before you start, make sure you have the following prerequisites:
|
|
|
|
- A GCP account with the necessary permissions to create resources
|
|
- A project on GCP where you want to deploy Langflow
|
|
|
|
[**Select your GCP project**]<walkthrough-project-setup
|
|
billing="true"
|
|
apis="compute.googleapis.com,container.googleapis.com">
|
|
</walkthrough-project-setup>
|
|
|
|
|
|
In the next step, you'll configure the GCP environment and deploy Langflow.
|
|
|
|
## Configure the GCP environment and deploy Langflow
|
|
Run the deploy_langflow_gcp.sh script to configure the GCP environment and deploy Langflow:
|
|
|
|
```sh
|
|
gcloud config set project <walkthrough-project-id/>
|
|
bash ./deploy_langflow_gcp.sh
|
|
```
|
|
|
|
The script will:
|
|
|
|
1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed
|
|
2. Create a startup script to install Python, Langflow, and Nginx
|
|
3. Create a Compute Engine VM instance with the specified configuration and startup script
|
|
4. Configure Nginx to serve Langflow on TCP port 8080
|
|
|
|
In the next step, you'll learn how to connect to the Langflow VM.
|
|
|
|
## Connect to the Langflow VM
|
|
<walkthrough-conclusion-trophy></walkthrough-conclusion-trophy>
|
|
To connect to your new Langflow VM, follow these steps:
|
|
|
|
1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page
|
|
2. Click on the external IP for your VM
|
|
<br>or
|
|
3. Run the following command to store the VM's IP in a variable called `LANGFLOW-IP`:
|
|
```bash
|
|
export LANGFLOW_IP=$(gcloud compute instances list --filter="NAME=langflow-dev" --format="value(EXTERNAL_IP)")
|
|
|
|
echo http://$LANGFLOW_IP:8080
|
|
```
|
|
|
|
4. You will be greeted by the Langflow Dev environment
|
|
|
|
Congratulations! You have successfully deployed Langflow on Google Cloud Platform.
|
|
|
|
## Cleanup
|
|
If you want to remove the resources created during this tutorial, you can use the following commands:
|
|
|
|
```sql
|
|
gcloud compute instances delete langflow-dev --zone us-central1-a --quiet
|
|
|
|
gcloud compute routers nats delete nat-gateway --router nat-client --region us-central1 --quiet
|
|
|
|
gcloud compute routers delete nat-client --region us-central1 --quiet
|
|
|
|
gcloud compute firewall-rules delete allow-tcp-8080 --quiet
|
|
|
|
gcloud compute firewall-rules delete allow-iap --quiet
|
|
|
|
gcloud compute networks subnets delete default --region us-central1 --quiet
|
|
|
|
gcloud compute networks delete default --quiet
|
|
```
|