Installing Anaconda on Amazon Elastic Beanstalk: A Guide

Amazon Elastic Beanstalk is a powerful PaaS (Platform as a Service) offered by Amazon Web Services (AWS). It provides developers with a simple, quick, and efficient way to deploy and manage applications. However, integrating Anaconda, a popular distribution of Python and R for scientific computing, is not as straightforward.

Installing Anaconda on Amazon Elastic Beanstalk: A Guide

Amazon Elastic Beanstalk is a powerful PaaS (Platform as a Service) offered by Amazon Web Services (AWS). It provides developers with a simple, quick, and efficient way to deploy and manage applications. However, integrating Anaconda, a popular distribution of Python and R for scientific computing, is not as straightforward.

In this guide, let’s unravel how to install Anaconda on Amazon Elastic Beanstalk for data scientists looking to leverage its powerful computing capabilities.

Step 1: Prepare Your Elastic Beanstalk Environment

First, you’ll need to set up an Elastic Beanstalk environment. If you don’t have one already, you can create a new environment using the AWS Management Console, AWS CLI, or EB CLI.

For instance, via the AWS Management Console, navigate to the Elastic Beanstalk service and click “Create New Application”. Provide a name and description, then create an environment choosing the “Web server environment”.

Make sure that your environment uses a platform branch that supports Python, such as the Python 3.8 running on 64bit Amazon Linux 2.

Step 2: Create a .ebextensions Directory

Next, in your application source bundle, create a directory named .ebextensions. AWS Elastic Beanstalk uses this directory to retrieve configuration files. These YAML or JSON-formatted files, allow you to customize your environment.

Step 3: Install Anaconda

Create a configuration file, let’s call it anaconda.config, inside the .ebextensions directory. This file will include commands to download and install Anaconda.

Your anaconda.config should look like this:

commands:
  01_download_anaconda:
    command: wget https://repo.anaconda.com/archive/Anaconda3-2020.02-Linux-x86_64.sh -O /tmp/anaconda3.sh
  02_install_anaconda:
    command: bash /tmp/anaconda3.sh -b -p $HOME/anaconda3
  03_set_env_vars:
    command: echo 'export PATH="$HOME/anaconda3/bin:$PATH"' >> $HOME/.bashrc

These commands will download Anaconda, install it in a specific directory, and then update the PATH variable to include Anaconda.

Step 4: Update Your Application

After setting up the configuration file, update your application by deploying the updated source bundle. Elastic Beanstalk will execute the Anaconda installation scripts during environment creation or when you deploy the updated application to an existing environment.

Step 5: Verify Installation

To check that Anaconda was installed correctly, connect to your environment’s Amazon EC2 instance with SSH and run conda list. If Anaconda was installed correctly, you’ll see a list of installed packages.

Wrapping Up

Installing Anaconda on Amazon Elastic Beanstalk can extend your environment’s functionality, especially for data science applications. By following these steps, you should now have a fully functional Anaconda installation within your Elastic Beanstalk environment.

Remember, Elastic Beanstalk’s flexible nature allows you to customize your environment to best fit your application’s needs. So don’t be afraid to experiment and fine-tune these configurations.

Keywords: Amazon Elastic Beanstalk, AWS, Anaconda, Python, data science, installation, .ebextensions, EC2 instance, anaconda.config, configuration files, SSH, PATH variable, environment creation.

References

  1. AWS Elastic Beanstalk Documentation
  2. Anaconda Documentation


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