Fancorico  Hunt

Fancorico Hunt

1596695182

Get personalized recommendations using AWS and NodeJS

What is AWS Personalize?

AWS Personalize is a machine learning service that empowers non-machine-learning engineers to easily generate personalize recommendations for their users. It is a powerful yet developer-friendly tool that does not require any prior knowledge in machine learning. All you need to do is providing the data to Personalize via S3, and Personalize will take care of everything from identifying features to training the models.

My Experience

In one of my previous projects, I had the opportunity to work closely with AWS, as the company that I worked for at the time was a recipient of the AWS Imagine Grant Program. The AWS team recommended that we used Personalize to generate smart recommendations for our users based on their activities on the app. Since then, it has been one of my favorite services on AWS.

Step 1 — Get Started — Preparing Data

Step 2 — Storing data in S3

Step 3 — Creating a dataset group

Step 4 — Create user-item interaction data

Step 5 — Import user-item interaction data

Step 6 — Create Solution

Step 7 — Create Campaign

Step 8 — Get real recommendations

Optional — Generate real recommendations using Node.JS

#javascript #aws #web-development #machine-learning #nodejs

What is GEEK

Buddha Community

Get personalized recommendations using AWS and NodeJS
Fancorico  Hunt

Fancorico Hunt

1596695182

Get personalized recommendations using AWS and NodeJS

What is AWS Personalize?

AWS Personalize is a machine learning service that empowers non-machine-learning engineers to easily generate personalize recommendations for their users. It is a powerful yet developer-friendly tool that does not require any prior knowledge in machine learning. All you need to do is providing the data to Personalize via S3, and Personalize will take care of everything from identifying features to training the models.

My Experience

In one of my previous projects, I had the opportunity to work closely with AWS, as the company that I worked for at the time was a recipient of the AWS Imagine Grant Program. The AWS team recommended that we used Personalize to generate smart recommendations for our users based on their activities on the app. Since then, it has been one of my favorite services on AWS.

Step 1 — Get Started — Preparing Data

Step 2 — Storing data in S3

Step 3 — Creating a dataset group

Step 4 — Create user-item interaction data

Step 5 — Import user-item interaction data

Step 6 — Create Solution

Step 7 — Create Campaign

Step 8 — Get real recommendations

Optional — Generate real recommendations using Node.JS

#javascript #aws #web-development #machine-learning #nodejs

Seamus  Quitzon

Seamus Quitzon

1601341562

AWS Cost Allocation Tags and Cost Reduction

Bob had just arrived in the office for his first day of work as the newly hired chief technical officer when he was called into a conference room by the president, Martha, who immediately introduced him to the head of accounting, Amanda. They exchanged pleasantries, and then Martha got right down to business:

“Bob, we have several teams here developing software applications on Amazon and our bill is very high. We think it’s unnecessarily high, and we’d like you to look into it and bring it under control.”

Martha placed a screenshot of the Amazon Web Services (AWS) billing report on the table and pointed to it.

“This is a problem for us: We don’t know what we’re spending this money on, and we need to see more detail.”

Amanda chimed in, “Bob, look, we have financial dimensions that we use for reporting purposes, and I can provide you with some guidance regarding some information we’d really like to see such that the reports that are ultimately produced mirror these dimensions — if you can do this, it would really help us internally.”

“Bob, we can’t stress how important this is right now. These projects are becoming very expensive for our business,” Martha reiterated.

“How many projects do we have?” Bob inquired.

“We have four projects in total: two in the aviation division and two in the energy division. If it matters, the aviation division has 75 developers and the energy division has 25 developers,” the CEO responded.

Bob understood the problem and responded, “I’ll see what I can do and have some ideas. I might not be able to give you retrospective insight, but going forward, we should be able to get a better idea of what’s going on and start to bring the cost down.”

The meeting ended with Bob heading to find his desk. Cost allocation tags should help us, he thought to himself as he looked for someone who might know where his office is.

#aws #aws cloud #node js #cost optimization #aws cli #well architected framework #aws cost report #cost control #aws cost #aws tags

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Christa  Stehr

Christa Stehr

1598408880

How To Unite AWS KMS with Serverless Application Model (SAM)

The Basics

AWS KMS is a Key Management Service that let you create Cryptographic keys that you can use to encrypt and decrypt data and also other keys. You can read more about it here.

Important points about Keys

Please note that the customer master keys(CMK) generated can only be used to encrypt small amount of data like passwords, RSA key. You can use AWS KMS CMKs to generate, encrypt, and decrypt data keys. However, AWS KMS does not store, manage, or track your data keys, or perform cryptographic operations with data keys.

You must use and manage data keys outside of AWS KMS. KMS API uses AWS KMS CMK in the encryption operations and they cannot accept more than 4 KB (4096 bytes) of data. To encrypt application data, use the server-side encryption features of an AWS service, or a client-side encryption library, such as the AWS Encryption SDK or the Amazon S3 encryption client.

Scenario

We want to create signup and login forms for a website.

Passwords should be encrypted and stored in DynamoDB database.

What do we need?

  1. KMS key to encrypt and decrypt data
  2. DynamoDB table to store password.
  3. Lambda functions & APIs to process Login and Sign up forms.
  4. Sign up/ Login forms in HTML.

Lets Implement it as Serverless Application Model (SAM)!

Lets first create the Key that we will use to encrypt and decrypt password.

KmsKey:
    Type: AWS::KMS::Key
    Properties: 
      Description: CMK for encrypting and decrypting
      KeyPolicy:
        Version: '2012-10-17'
        Id: key-default-1
        Statement:
        - Sid: Enable IAM User Permissions
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:root
          Action: kms:*
          Resource: '*'
        - Sid: Allow administration of the key
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:user/${KeyAdmin}
          Action:
          - kms:Create*
          - kms:Describe*
          - kms:Enable*
          - kms:List*
          - kms:Put*
          - kms:Update*
          - kms:Revoke*
          - kms:Disable*
          - kms:Get*
          - kms:Delete*
          - kms:ScheduleKeyDeletion
          - kms:CancelKeyDeletion
          Resource: '*'
        - Sid: Allow use of the key
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:user/${KeyUser}
          Action:
          - kms:DescribeKey
          - kms:Encrypt
          - kms:Decrypt
          - kms:ReEncrypt*
          - kms:GenerateDataKey
          - kms:GenerateDataKeyWithoutPlaintext
          Resource: '*'

The important thing in above snippet is the KeyPolicy. KMS requires a Key Administrator and Key User. As a best practice your Key Administrator and Key User should be 2 separate user in your Organisation. We are allowing all permissions to the root users.

So if your key Administrator leaves the organisation, the root user will be able to delete this key. As you can see **KeyAdmin **can manage the key but not use it and KeyUser can only use the key. ${KeyAdmin} and **${KeyUser} **are parameters in the SAM template.

You would be asked to provide values for these parameters during SAM Deploy.

#aws #serverless #aws-sam #aws-key-management-service #aws-certification #aws-api-gateway #tutorial-for-beginners #aws-blogs