Code360 powered by Coding Ninjas X Naukri.com. Code360 powered by Coding Ninjas X Naukri.com
Table of contents
1.
Introduction
2.
Features of AWS CodeArtifact
3.
Implementation of AWS CodeArtifact
3.1.
Step 1: AWS Environment Setup
3.2.
Step 2: Linux & Software installation
3.3.
Step 3: Connect to the code artifact repo
3.4.
Step 4: Python installation & PyPi setup
3.5.
Step 5: Create our own Python Package Twine
3.6.
Step 6: Artifact creation and upload AWS Code Artifact
3.7.
Step 7: Create a new Django project
3.8.
Step 8: Verification
3.9.
Step 9: Verify with the New version of your Artifact
4.
Frequently Asked Questions
4.1.
What is an AWS CodeArtifact package?
4.2.
Does AWS CodeArtifact support Docker?
4.3.
What is the price of CodeArtifact?
4.4.
In CodeArtifact, how can we make repositories?
4.5.
Can we combine AWS CodeArtifact with AWS CodeBuild?
5.
Conclusion
Last Updated: Mar 27, 2024
Easy

AWS Codeartifact

Master Python: Predicting weather forecasts
Speaker
Ashwin Goyal
Product Manager @

Introduction

AWS CodeArtifact is a fully managed artifact repository service that enables enterprises of any size to securely store, distribute, and share software packages needed during the software development process. CodeArtifact may be configured to automatically download software packages and dependencies from public artifact repositories, ensuring developers access the most recent versions. CodeArtifact integrates with popular package managers and builds tools like MavenGradlenpmyarntwinepip, and NuGet, making it simple to incorporate into current development workflows.

Development teams frequently rely on open-source software and software developed within their firm. IT administrators must be able to regulate access to and assess the security of these software products. Teams want a method to locate current packages that have been approved for usage by their IT executives. To overcome these issues, IT managers use central artifact repository services to store and share packages. On the other hand, existing solutions sometimes require teams to acquire licenses for software solutions that are difficult to set up, expand, and run.

Source: https://miro.medium.com/max/1400/1*uxqZrZZxW2WsCQDIWn_jWw.png

Features of AWS CodeArtifact

Here are some essential features of AWS CodeArtifact.

Consume packages from public artifact repositories

With a few clicks, you can set CodeArtifact to retrieve software packages from public repositories such as the npm Registry, Maven Central, PyPI, and NuGet.org. CodeArtifact downloads and saves application dependencies from these repositories, ensuring that they are always available to your developers and CI/CD systems.

Publish and share packages

To publish packages produced within our business, we may utilize our current package managers such as npm, pip, yarn, twine, Maven, and NuGet. Instead of building their own, development teams might save time by fetching packages uploaded to and shared in a single organizational repository.

Approve packages for use and gain insight into their usage

Using the CodeArtifact APIs and AWS EventBridge, we may create automated procedures to authorize packages for usage. Integration with AWS CloudTrail provides leaders with visibility into which packages are used and where they are used, making it simple to discover packages that need to be updated or deleted.

High availability and durability

AWS CodeArtifact is available across several availability zones and saves artifact data and metadata in Amazon S3 and Amazon DynamoDB. Our encrypted data is redundantly stored across numerous facilities and devices within each site, ensuring availability and durability.

Use a fully managed service

CodeArtifact allows us to concentrate on delivering value to your clients rather than setting and managing your development environment. CodeArtifact is a highly available service that can be scaled to suit the requirements of any software development team. There is no software to maintain or servers to update.

Enable access control and monitoring

AWS CodeArtifact interacts with IAM and AWS CloudTrail, giving us control over who can access our software packages and who has access to them. CodeArtifact also interfaces with AWS Key Management Service (KMS) for package encryption.

Access packages within a VPC

By enabling AWS CodeArtifact to use AWS PrivateLink endpoints, we may improve the security of our repositories. This allows your VPC(Virtual Private Cloud) systems to access packages stored in CodeArtifact without transferring data over the public internet.

Also see, Amazon Hirepro

Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job
Bootcamp

Implementation of AWS CodeArtifact

Implementing AWS CodeArtifact entails starting a new Linux VM, installing prerequisites, and explaining NPM, PyPI, and twine downstream tools. In addition, we will develop a Django Server Demo Project and implement/understand the AWS CodeArtifact in real-time.
 

The following steps will walk you through the whole implementation:

Step 1: AWS Environment Setup

For this, we have to follow the steps given below:

  1. Log in to the AWS console
  2. Create code artifact repo
  3. Select Public upstream repositories
    • PyPI
    • NPM
  4. Write a domain name
  5. Create the repo

Step 2: Linux & Software installation

For this, we have to follow the steps given below:

1. Setup the Linux box

2. Install the prerequisites

  • Python3
  • PIP3

Source: https://miro.medium.com/max/1400/1*W2cbGHNnr9X9WvZPjnFGDg.png

3. AWS CLI version 2.0.21 and newer

curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"

unzip awscliv2.zip

sudo ./aws/install

aws --version

4. AWS configure

5. IAM User with CodeArtifact permission

{

"Version": "2012-10-17",

"Statement": [

   {

     "Effect": "Allow",

     "Action": [

          "codeartifact:*"

     ],

     "Resource": "*"

   },

   {       

     "Effect": "Allow",

     "Action": "sts:GetServiceBearerToken",

     "Resource": "*",

     "Condition": {

         "StringEquals": {

             "sts:AWSServiceName": "codeartifact.amazonaws.com"

         }

      }

    }

]

}

Step 3: Connect to the code artifact repo

To do this, we must follow the procedures outlined below:

1. Log in to your Amazon Web Services code artifact repository command for NPM.

aws codeartifact login --tool npm --repository varunArtifact --domain varunartifact --domain-owner 276701924684

 

2. Install Node & its prerequisites

yum install tree -y

curl -sL https://rpm.nodesource.com/setup_10.x | sudo bash -

Yum install nodejs -y

npm --version

node --version

curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.35.3/install.sh | bash

nvm --version

cd /opt/

nvm --version

nvm install --lts

node --version

nvm -ls

yum install gcc-c++ make

 

3. Create a new NPM Package

nvm use 12

npm install -g aws-cdk

 

4. Install the package

mkdir npm_package

cd npm_package/

npm init

npm publish

npm install maniknpm

 

You will receive an error here, so create a new directory and perform the command below.

cd ../

mkdir npmtemp

cd npm

cd npmtemp/

npm install maniknpm

tree

 

Tree view of our code

Source: https://miro.medium.com/max/724/1*bcDmDlnlvBs4jABFlrpc-g.png

 

vim package-lock.json

You can see your package.json using the above command.

 

5. Validate the AWS CodeArtifact Repository using the freshly produced package.

Step 4: Python installation & PyPi setup

To do this, we must follow the procedures outlined below:

1. Install Python 3 from Miniconda

wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh

sh Miniconda3-latest-Linux-x86_64.sh

 

2. Login into your AWS code artifact repository command PyPI

aws codeartifact login --tool pip --repository pypi-store --domain cnartifact --domain-owner 276701924684

 

3. Install a Django Package

pip install django==2.2

 

4. Check the AWS CodeArtifact for your Django package.

Source: https://miro.medium.com/max/1400/1*FtIchCcieXV3H1FNOG6ofA.png

Step 5: Create our own Python Package Twine

To do this, we must follow the procedures outlined below:

1. Log in with twine in your code artifact and start creating projects.

aws codeartifact login --tool twine --repository pypi-store --domain cnartifact --domain-owner 276701924684

mkdir projects

cd projects

 

2. Clone your GitHub repository

git clone your_url

 

3. Build your artifacts

python setup.py sdist bdist_wheel

Step 6: Artifact creation and upload AWS Code Artifact

To do this, we must follow the procedures outlined below:

1. Install twine package

pip install twine

 

2. Upload your build artifact into the AWS code artifact

twine upload --repository codeartifact dist/manik_notebookc-1.1.3.tar.gz

 

3. Check your Python package on the AWS dashboard for new Artifacts.

Source: https://miro.medium.com/max/1400/1*Br4ZzyMR1ZtUp250c_feFw.png

Step 7: Create a new Django project

For setting up the Django project, we have to follow the steps given below:

1. Start a Django project

django-admin startproject djangocode

cd djangocode/

 

2. Clone the Github repo and make the necessary modifications.

Source: https://miro.medium.com/max/1116/1*wg-42jIeKPGf2LdO1amDig.png

 

3. Install Django Server on your Linux machine.

python manage.py runserver 0.0.0.0:8080

Step 8: Verification

To do this, we must follow the procedures outlined below:

1. Check your AWS console for the latest version.

Source: https://miro.medium.com/max/1392/1*2GPG2CdP95qlS5niVL7zYw.png

2. Verify your version on your browser.

Step 9: Verify with the New version of your Artifact

For this, we have to follow the steps given below:

1. Update the code artifact using the new package version.

2. Upload code artiefacts to AWS

3. Install new AWS CodeArtifact packages.

twine upload --repository codeartifact dist/cn_notebookc-1.1.4.tar.gz
pip install manik-notebookc==1.1.4
python manage.py runserver 0.0.0.0:8080

4. Check the version of the code on the AWS console.

5. Check the version of the code in the browser.

Frequently Asked Questions

What is an AWS CodeArtifact package?

A package is a collection of software and information needed to resolve dependencies and install the program. A package in CodeArtifact is made up of a package name, an optional namespace like @types in @types/node, a collection of package versions, and package-level information like npm tags.

Does AWS CodeArtifact support Docker?

All main package formats are supported by this universal solution (including Docker, no need to have a separate Docker Registry)

What is the price of CodeArtifact?

There are no upfront costs or commitments with CodeArtifact. We only pay for the stored software packages, the number of requests performed, and the data transported out of an AWS Region. CodeArtifact offers a monthly free storage and request tier. See the price details for further information.

In CodeArtifact, how can we make repositories?

We may use the console wizard to build repositories or use the AWS SDKs or CLI to create them programmatically. In the AWS CodeArtifact documentation, see Create a repository for further details.

Can we combine AWS CodeArtifact with AWS CodeBuild?

Yes. Our CodeBuild project setup may define which CodeArtifact repositories to utilize for consuming and publishing packages. Client tools for all package types supported by CodeArtifact are included in the CodeBuild images. CodeBuild instructs the build tool or package manager to utilize the provided repository and get a CodeArtifact auth token at the start of the build by using the build's IAM role. When the build is finished, we can choose which build artifacts should be published to our CodeArtifact repository. CloudWatch Events broadcast by a CodeArtifact repository when its contents change may be used to trigger CodeBuild builds.

Conclusion

In this article, we have extensively discussed AWS CodeArtifact. We start with a brief introduction of the AWS Artifact, then discuss the steps to use it.

After reading about the AWS Artifact, are you not feeling excited to read/explore more articles on the topic of AWS? Don't worry; Coding Ninjas has you covered. To learn, see STS Download AWS Cloud MapAWS Cloud DirectoryAWS Application Discovery Service, and Data Exchange in AWS.

Refer to our Guided Path on Coding Ninjas Studio to upskill yourself in Data Structures and AlgorithmsCompetitive ProgrammingJavaScriptSystem Design, and many more! If you want to test your competency in coding, you may check out the mock test series and participate in the contests hosted on Coding Ninjas Studio! But if you have just started your learning process and are looking for questions asked by tech giants like Amazon, Microsoft, Uber, etc., you must look at the problemsinterview experiences, and interview bundle for placement preparations.

Nevertheless, you may consider our paid courses to give your career an edge over others!

Do upvote our blogs if you find them helpful and engaging!

Happy Learning!

Previous article
AWS Cloudshell
Next article
AWS CodeBuild
Live masterclass