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Labs

Deploy a Serverless Application to AWS with Lambda and Neptune

In this lab, you will deploy a serverless social media application that uses Neptune to recommend friends to the main user, Bob. You will start by deploying the Neptune stack and import the data into Neptune using an EC2 instance and an S3 bucket. Then, you will deploy the API stack that will interface with the Neptune database for the UI. Finally, you will deploy the UI.

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Path Info

Level
Clock icon Beginner
Duration
Clock icon 1h 30m
Published
Clock icon Sep 08, 2023

Contact sales

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Table of Contents

  1. Challenge

    Install Serverless

    • Create an access key for the cloud_user.
    • Update the cloud instance.
    • Install Node,js.
    • Install serverless globally.
    • Export the access key and secret access key at the command line.

  2. Challenge

    Deploy Neptune Stack

    • Create a key pair called neptune-key from the EC2 dashboard.
    • Use the serverless.yml file located in ~/Labs/Neptune when deploying the Neptune stack.
    • Deploy Neptune using the following parameters:
      • Parameter 1: ssh-key-name with a value of neptune-key.
      • Parameter 2: dbcluster. Come up with the name of the cluster as the value.

  3. Challenge

    Deploy API Stack

    • Install the Node.js packages.
    • Deploy the API stack using serverless using the serverless.yml file located in ~/Lab/API.
    • Save the API URL. You will need it in the next objective.
    • Test the AI URL to make sure the stack deploys properly.

  4. Challenge

    Deploy UI Stack

    • Install Node.js packages for the UI.
    • Deploy the UI stack using the serverless.yml file located in ~/Lab/UI.
    • Edit the config.js file:
      • Modify the api element.
    • Deploy the UI stack using serverless.

  5. Challenge

    Add Data to Neptune

    • Deploy and S3 bucket using serverless using the serverless.yml file located in ~/Lab/S3.
    • Download the CSV files from GitHub or scp them from ~/Lab/S3 to your local system.
    • Upload the CSV files to the S3 bucket you created.
    • Modify the curl command provided in the lab guide with the S3 role ARN and CSV file URIs.
    • Connect to the EC2 instances included with the lab.
    • Use the curl command below to import the data into Neptune for each file in the bucket.
    • Start with the vertex files first.

    Link to GitHub

A Cloud Guru - Labs - Deploy a Serverless Application to AWS with Lambda and Neptune
Author
A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

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