This content originally appeared on DEV Community and was authored by Van Hoang Kha
Step-by-Step Guide: Deploying a Streamlit App on AWS EC2 using VSC
This blog post provides a detailed, step-by-step guide for deploying the "Technical Analyst Stock Markets" Streamlit app on an AWS EC2 instance using Visual Studio Code (VSC). This deployment approach ensures that your application is production-ready, scalable, and secure.
Prerequisites
Before proceeding, ensure you have the following:
- AWS Account: Access to an AWS account.
- EC2 Instance: A running EC2 instance with proper security groups allowing inbound traffic on port 8080.
- SSH Key: SSH key pair for accessing the EC2 instance.
- Visual Studio Code (VSC): Installed locally with the Remote - SSH extension.
- GitHub Repository: Clone the repository Technical Analyst Stock Markets.
Step 1: Launch an EC2 Instance
- Login to AWS Console: Navigate to the EC2 Dashboard.
-
Launch Instance:
- Choose an Amazon Machine Image (AMI). For this guide, select Ubuntu Server 22.04 LTS.
- Choose an instance type (e.g., t2.micro for testing or t3.medium for better performance).
- Configure instance details. Set the Auto-assign Public IP to Enable.
- Add storage (default settings are usually sufficient).
- Configure security groups. Ensure to allow inbound traffic on port 22 (SSH) and port 8080 (Streamlit).
- Launch the instance using your SSH key pair.
Step 2: Access EC2 Instance via Visual Studio Code
-
Install the Remote - SSH Extension:
- Open VSC and navigate to the Extensions view by clicking on the square icon in the sidebar.
- Search for "Remote - SSH" and install it.
-
Connect to the EC2 Instance:
- Press
Ctrl + Shift + Pand type "Remote-SSH: Connect to Host...". - Enter the SSH connection string (e.g.,
ec2-user@<EC2_PUBLIC_IP>). - Accept the host fingerprint if prompted.
- Press
Step 3: Setup the Python Environment on EC2
- Update the EC2 Instance:
sudo apt-get update
sudo apt-get upgrade -y
- Install Python:
sudo apt-get install python3-pip python3-dev -y
sudo apt-get install python3-venv -y
- Clone the GitHub Repository:
git clone https://github.com/vanhoangkha/Technical-Analyst-Stock-Markets.git
cd Technical-Analyst-Stock-Markets
- Create and Activate a Virtual Environment:
python3 -m venv env
source env/bin/activate
- Install Required Packages:
pip install -r requirements.txt
Step 4: Deploy and Run the Streamlit App
- Run the Streamlit App:
streamlit run Home.py --server.port 8080
-
Access the App:
- Open a web browser and navigate to
http://<EC2_PUBLIC_IP>:8080. - You should see the "Technical Analyst Stock Markets" app running.
- Open a web browser and navigate to
Step 5: Configuring EC2 for Production
-
Running the App in Background:
To keep the app running after closing the SSH session, use
nohup:
nohup streamlit run Home.py --server.port 8080 &
-
Security Best Practices:
- Enable SSL: Use a reverse proxy like Nginx to enable HTTPS.
- Monitoring: Set up CloudWatch to monitor your EC2 instance's performance.
- Auto-Scaling: Consider using Auto Scaling groups for handling increased traffic.
-
Optimize Costs:
- Stop the EC2 instance when not in use to avoid unnecessary charges.
- Consider using Spot Instances for cost savings.
Conclusion
This guide demonstrated how to deploy the "Technical Analyst Stock Markets" Streamlit app on AWS EC2 using Visual Studio Code. By following these steps, you ensure that your application is production-ready, scalable, and secure. For more information on enhancing your application, consider integrating with additional AWS services like Amazon RDS for database management or Amazon S3 for storing static assets.
Happy coding!
This content originally appeared on DEV Community and was authored by Van Hoang Kha
Van Hoang Kha | Sciencx (2024-08-18T18:03:27+00:00) Technical Analyst Stock Markets. Retrieved from https://www.scien.cx/2024/08/18/technical-analyst-stock-markets/
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