#npm registry

[ericvanderburg]

North Korean Hackers Moonstone Sleet Push Malicious JS Packages to npm Registry

http://i.securitythinkingcap.com/TBYq0C

[learning-code-ficusoft]

Deploying Containers on AWS ECS with Fargate

Introduction

Amazon Elastic Container Service (ECS) with AWS Fargate enables developers to deploy and manage containers without managing the underlying infrastructure. Fargate eliminates the need to provision or scale EC2 instances, providing a serverless approach to containerized applications.

This guide walks through deploying a containerized application on AWS ECS with Fargate using AWS CLI, Terraform, or the AWS Management Console.

1. Understanding AWS ECS and Fargate

✅ What is AWS ECS?

Amazon ECS (Elastic Container Service) is a fully managed container orchestration service that allows running Docker containers on AWS.

✅ What is AWS Fargate?

AWS Fargate is a serverless compute engine for ECS that removes the need to manage EC2 instances, providing:

Automatic scaling

Per-second billing

Enhanced security (isolation at the task level)

Reduced operational overhead

✅ Why Choose ECS with Fargate?

✔ No need to manage EC2 instances ✔ Pay only for the resources your containers consume ✔ Simplified networking and security ✔ Seamless integration with AWS services (CloudWatch, IAM, ALB)

2. Prerequisites

Before deploying, ensure you have:

AWS Account with permissions for ECS, Fargate, IAM, and VPC

AWS CLI installed and configured

Docker installed to build container images

An existing ECR (Elastic Container Registry) repository

3. Steps to Deploy Containers on AWS ECS with Fargate

Step 1: Create a Dockerized Application

First, create a simple Dockerfile for a Node.js or Python application.

Example: Node.js DockerfiledockerfileFROM node:16-alpine WORKDIR /app COPY package.json . RUN npm install COPY . . CMD ["node", "server.js"] EXPOSE 3000

Build and push the image to AWS ECR:shaws ecr create-repository --repository-name my-app docker build -t my-app . docker tag my-app:latest <AWS_ACCOUNT_ID>.dkr.ecr.<REGION>.amazonaws.com/my-app:latest aws ecr get-login-password --region <REGION> | docker login --username AWS --password-stdin <AWS_ACCOUNT_ID>.dkr.ecr.<REGION>.amazonaws.com docker push <AWS_ACCOUNT_ID>.dkr.ecr.<REGION>.amazonaws.com/my-app:latest

Step 2: Create an ECS Cluster

Use the AWS CLI to create a cluster:shaws ecs create-cluster --cluster-name my-cluster

Or use Terraform:hclresource "aws_ecs_cluster" "my_cluster" { name = "my-cluster" }

Step 3: Define a Task Definition for Fargate

The task definition specifies how the container runs.

Create a task-definition.js{ "family": "my-task", "networkMode": "awsvpc", "executionRoleArn": "arn:aws:iam::<AWS_ACCOUNT_ID>:role/ecsTaskExecutionRole", "cpu": "512", "memory": "1024", "requiresCompatibilities": ["FARGATE"], "containerDefinitions": [ { "name": "my-container", "image": "<AWS_ACCOUNT_ID>.dkr.ecr.<REGION>.amazonaws.com/my-app:latest", "portMappings": [{"containerPort": 3000, "hostPort": 3000}], "essential": true } ] }

Register the task definition:shaws ecs register-task-definition --cli-input-json file://task-definition.json

Step 4: Create an ECS Service

Use AWS CLI:shaws ecs create-service --cluster my-cluster --service-name my-service --task-definition my-task --desired-count 1 --launch-type FARGATE --network-configuration "awsvpcConfiguration={subnets=[subnet-xyz],securityGroups=[sg-xyz],assignPublicIp=\"ENABLED\"}"

Or Terraform:hclresource "aws_ecs_service" "my_service" { name = "my-service" cluster = aws_ecs_cluster.my_cluster.id task_definition = aws_ecs_task_definition.my_task.arn desired_count = 1 launch_type = "FARGATE" network_configuration { subnets = ["subnet-xyz"] security_groups = ["sg-xyz"] assign_public_ip = true } }

Step 5: Configure a Load Balancer (Optional)

If the service needs internet access, configure an Application Load Balancer (ALB).

Create an ALB in your VPC.

Add an ECS service to the target group.

Configure a listener rule for routing traffic.

4. Monitoring & Scaling

🔹 Monitor ECS Service

Use AWS CloudWatch to monitor logs and performance.shaws logs describe-log-groups

🔹 Auto Scaling ECS Tasks

Configure an Auto Scaling Policy:sh aws application-autoscaling register-scalable-target \ --service-namespace ecs \ --scalable-dimension ecs:service:DesiredCount \ --resource-id service/my-cluster/my-service \ --min-capacity 1 \ --max-capacity 5

5. Cleaning Up Resources

After testing, clean up resources to avoid unnecessary charges.shaws ecs delete-service --cluster my-cluster --service my-service --force aws ecs delete-cluster --cluster my-cluster aws ecr delete-repository --repository-name my-app --force

Conclusion

AWS ECS with Fargate simplifies container deployment by eliminating the need to manage servers. By following this guide, you can deploy scalable, cost-efficient, and secure applications using serverless containers.

WEBSITE: https://www.ficusoft.in/aws-training-in-chennai/

[llbbl]

New release of pkglock-rust

  🎉 New release of pkglock-rust crate is out! 🎉

This update brings:

✅ Unit testing for robust performance.

📂 Modularized code for better organization and maintainability.

Check out the latest version and give it a try: https://github.com/llbbl/pkglock-rust

pkglock was created to streamline switching between local and remote npm registries, addressing the slowness of npm installations and resolving transpiling issues by being rewritten in Rust.

rustlang 

[sofueled12]

Why Hiring a Dedicated Node.js Backend Developer is Essential for Your Next Project

In the fast-evolving world of web development, choosing the right technology stack can make or break your project. Node.js, an open-source, cross-platform runtime environment, has gained massive popularity due to its ability to build efficient, scalable, and high-performance applications. If you're considering adopting Node.js for your next project, hiring a dedicated Node.js backend developer is one of the smartest decisions you can make. Here’s why.

Node.js: A Perfect Fit for Modern Web Applications

Node.js is built on Chrome's V8 JavaScript engine, which allows developers to write server-side applications using JavaScript. It excels in handling multiple requests simultaneously, making it perfect for real-time applications such as chat apps, live streaming platforms, and collaborative tools. Moreover, its asynchronous nature allows Node.js to handle non-blocking operations efficiently, reducing wait times and improving overall performance.

Hiring a dedicated Node.js backend developer ensures that your application leverages these advantages. With their deep knowledge of the framework, they can create a highly responsive and efficient backend that scales well as your user base grows.

Single Language for Full Stack Development

One of the key benefits of Node.js is the ability to use JavaScript for both frontend and backend development. This simplifies the development process, reduces the learning curve for your team, and improves collaboration between frontend and backend developers.

A dedicated Node.js backend developer can seamlessly integrate their work with your frontend team, ensuring smooth communication and faster delivery. The use of a single language across the entire stack also enables better code sharing and reuse, speeding up development and maintenance tasks.

Fast and Scalable Backend Solutions

Node.js is well-known for its speed and scalability, which stems from its event-driven, non-blocking I/O model. This makes it a perfect choice for building fast and scalable network applications. Dedicated node js backend developer are skilled in optimizing the backend for maximum performance. They can build APIs that handle numerous simultaneous connections with minimal overhead, making your application faster and more efficient.

For companies that anticipate growth, scalability is critical. Hire node developer ensures your system is built with scalability in mind, accommodating future growth without requiring a complete overhaul of your infrastructure.

Rich Ecosystem of Tools and Libraries

Node.js boasts an extensive package ecosystem, with over a million modules available in the npm (Node Package Manager) registry. This rich ecosystem enables developers to access pre-built modules and libraries, significantly reducing the time needed to build common functionalities.

A dedicated Node.js backend developer is well-versed in navigating this ecosystem. They can integrate the right packages for your project, whether it’s for database management, authentication, caching, or other backend functions. This not only speeds up development but also ensures that your project utilizes tested and proven tools.

Improved Project Efficiency and Quality

A dedicated Node.js backend developer can focus entirely on your project, ensuring better productivity and code quality. Their expertise in the Node.js framework allows them to follow best practices, write clean and maintainable code, and address any challenges specific to your project’s backend requirements.

Moreover, by hiring a dedicated developer, you gain someone who understands the intricacies of your project and is invested in its long-term success. They can provide valuable insights, suggest optimizations, and ensure your backend remains secure and efficient as your project evolves.

Conclusion

Node.js has proven itself as a powerful and versatile technology for backend development. Hiring a dedicated Node.js backend developer allows you to leverage the full potential of this platform, ensuring a fast, scalable, and efficient backend for your application. Whether you're building a real-time application, an e-commerce platform, or a complex enterprise system, having a Node.js expert on board can be the key to your project's success.

[sigmasolveinc]

Node.js & Docker: Perfect Pair for App Development

Think of Node.js and Docker as two tools that work great together when making computer programs or apps. Node.js is like a super-fast engine that runs JavaScript, which is a popular computer language. Docker is like a magic box that keeps everything an app needs in one place. When you use them together, it’s easier to make apps quickly.

Why Node.js?

Node.js is like a super-efficient multitasker for computers. Instead of doing one thing at a time, it can juggle many tasks at once without getting stuck. The cool part is that it uses JavaScript, which they can use for behind-the-scenes development now. It makes building stuff faster and easier because programmers don’t have to switch between different languages.

JavaScript everywhere:

Node.js enables full-stack JavaScript development, reducing context switching and allowing code sharing between client and server, increasing productivity and maintainability.

Non-blocking I/O:

Its asynchronous, event-driven architecture efficiently handles concurrent requests, making it ideal for real-time applications and APIs with high throughput requirements.

Large ecosystem:

npm, the world’s largest software registry, provides access to a vast array of open-source packages, accelerating development and reducing the need to reinvent the wheel.

Scalability:

Node.js’s lightweight and efficient nature allows for easy horizontal scaling, making it suitable for microservice architectures and large-scale applications.

Community and corporate backing:

A vibrant community and support from tech giants ensure continuous improvement, security updates, and a wealth of resources for developers.

Enter Docker

Just as shipping containers can carry different things but always fit on trucks, trains, or ships, Docker does the same for apps. It makes it super easy to move apps around, work on them with other people, and run them without surprises. Docker simplifies deployment, improves scalability, and enhances collaboration in app development.

Containerization:

Docker packages applications and dependencies into isolated containers, ensuring consistency across development, testing, and production environments, reducing “it works on my machine” issues.

Portability:

Containers can run on any system with Docker installed, regardless of the underlying infrastructure, facilitating easy deployment and migration across different platforms.

Microservices architecture:

Docker’s lightweight nature supports breaking applications into more minor, independent services, improving scalability and maintainability, and allowing teams to work on different components simultaneously.

Node.js Docker: A Match Made in Developer Heaven

Node.js provides fast, scalable server-side JavaScript execution, while Docker ensures consistent deployment across platforms. This pairing accelerates development cycles, simplifies scaling, and enhances collaboration.

Consistent environments:

Docker containers package Node.js applications with their dependencies, ensuring consistency across development, testing, and production environments and reducing configuration-related issues.

Rapid deployment:

Docker’s containerization allows for quick and easy deployment of Node.js applications, enabling faster iterations and reducing time-to-market for new features.

Efficient resource utilization:

Both Node.js and Docker are lightweight, allowing for efficient use of system resources and improved performance, especially in microservice architectures.

Scalability:

The combination facilitates easy horizontal scaling of Node.js applications, with Docker containers providing isolated, reproducible environments for each instance.

Improved collaboration:

Docker’s standardized environments simplify onboarding and collaboration among development teams, while Node.js’s JavaScript ecosystem promotes shared knowledge and skills.

Stop Wasting Time, Start Building with Sigma Solve!

At Sigma Solve, we use Node.js and Docker to build your apps faster and better. Want to see how we can make your app idea come to life quickly and smoothly? It’s easy to find out—just give us a call at +1 954-397-0800. We will chat about your ideas for free, with no strings attached. Our experts can show you how these cool tools can help make your app a reality.

[bliiot-jerry]

Building Node-RED Environment Based on Industrial ARM Edge Computer BL302

Build Node-RED Environment

Node-RED is an open source visual process programming environment based on Nodejs. It can easily build custom applications and complete complex tasks by connecting simple nodes. Node-RED provides a simple way to quickly connect to external services, thus realizing the development of IoT applications.

The advantages of Node-RED include: easy to use, can be edited and published using a visual graphical interface; scalability, can add new functions; support for multiple protocols, can support HTTP, MOTT, Websocket and other protocols; high availability, can support large-scale distributed deployment; security, can support security authentication and encryption; portability, can support multiple operating systems.

Install Nodejs

Install Node-RED

If you need to use node-v18.12.1-linux-armv7l.tar.xz, you need to upgrade the lib library to 2.5, 2.6, 2.7; the default lib library of this machine is 2.3 (enter ldd --version to view the local glibc version).

Take node-redV16.14.0 as an example, first copy the node-v16.14.0-linux-armv7l.tar.xz file to a directory of the device (or create a new one on the root directory).root@fl-imx6ull:~# cp /run/media/sda1/node-v16.14.0-linux-armv7l.tar.xz /test

Then use the tar xf command to decompress the file.root@fl-imx6ull:~# tar xf node-v16.14.0-linux-armv7l.tar.xz

Then link node, npm, and npx in the file to /usr/bin.root@fl-imx6ull:~# ln -sf /test/node-v16.14.0-linux-armv7l/bin/node /usr/bin root@fl-imx6ull:~# ln -sf /test/node-v16.14.0-linux-armv7l/bin/npm /usr/bin root@fl-imx6ull:~# ln -sf /test/node-v16.14.0-linux-armv7l/bin/npx /usr/bin

Connect to the network, enter the following command and wait for a few minutes to install node-red.

Installation should be done under node-v16.14.0-linux-armv7l/bin/.

root@fl-imx6ull:~# npm install -g --unsafe-perm node-red

If an error occurs that the certificate is invalid, you can enter the following command

npm set strict-ssl false

If you are stuck at timing idealTree:#root Completed in 75683ms without response, enter the following command to resolve it:

npm config set registry https://registry.npm.taobao.org

npm config get registry

npm install -g node-red

After the installation is successful, check whether the installation is successful and the corresponding version number node -v; npm -v.

After the node is installed successfully, you need a soft link to /usr/binroot@fl-imx6ull:~# ln -sf /test/node-v16.14.0-linux-armv7l/bin/node-red /usr/bin

In this way, node-red can be executed in any directory;root@fl-imx6ull:~# node-red

otherwise execute

node/test/node-v16.14.0-linux-armv7l/bin/node-red

If the execution fails, you need to operate npm uninstall, and then npm install.

After running node-red, open Google Chrome, enter http://(BL302 Internet accessible IP):1880; for example: http://192.168.2.232:1880, and enter the node-red interface.

More information about BLIIoT--Beilai Tech.Co.,Ltd. Industrial ARM Edge Computer BL302 : https://www.bliiot.com/edge-computing-gateway-p00359p1.html

[the-hacker-news]

Malicious npm Packages Found Using Image Files to Hide Backdoor Code

The Hacker News : Cybersecurity researchers have identified two malicious packages on the npm package registry that concealed backdoor code to execute malicious commands sent from a remote server. The packages in question – img-aws-s3-object-multipart-copy and legacyaws-s3-object-multipart-copy – have been downloaded 190 and 48 times each. As of writing, they have been taken down by the npm security team. "They http://dlvr.it/T9flj4 Posted by : Mohit Kumar ( Hacker )

[ericvanderburg]

Is npm Enough? Why Startups Are Coming After This JavaScript Package Registry

http://i.securitythinkingcap.com/TJDGDH

[jcmarchi]

The role of machine learning in enhancing cloud-native container security - AI News

New Post has been published on https://thedigitalinsider.com/the-role-of-machine-learning-in-enhancing-cloud-native-container-security-ai-news/

The role of machine learning in enhancing cloud-native container security - AI News

The advent of more powerful processors in the early 2000’s shipping with support in hardware for virtualisation started the computing revolution that led, in time, to what we now call the cloud. With single hardware instances able to run dozens, if not hundreds of virtual machines concurrently, businesses could offer their users multiple services and applications that would otherwise have been financially impractical, if not impossible.

But virtual machines (VMs) have several downsides. Often, an entire virtualised operating system is overkill for many applications, and although very much more malleable, scalable, and agile than a fleet of bare-metal servers, VMs still require significantly more memory and processing power, and are less agile than the next evolution of this type of technology – containers. In addition to being more easily scaled (up or down, according to demand), containerised applications consist of only the necessary parts of an application and its supporting dependencies. Therefore apps based on micro-services tend to be lighter and more easily configurable.

Virtual machines exhibit the same security issues that affect their bare-metal counterparts, and to some extent, container security issues reflect those of their component parts: a mySQL bug in a specific version of the upstream application will affect containerised versions too. With regards to VMs, bare metal installs, and containers, cybersecurity concerns and activities are very similar. But container deployments and their tooling bring specific security challenges to those charged with running apps and services, whether manually piecing together applications with choice containers, or running in production with orchestration at scale.

Container-specific security risks

Misconfiguration: Complex applications are made up of multiple containers, and misconfiguration – often only a single line in a .yaml file, can grant unnecessary privileges and increase the attack surface. For example, although it’s not trivial for an attacker to gain root access to the host machine from a container, it’s still a too-common practice to run Docker as root, with no user namespace remapping, for example.

Vulnerable container images: In 2022, Sysdig found over 1,600 images identified as malicious in Docker Hub, in addition to many containers stored in the repo with hard-coded cloud credentials, ssh keys, and NPM tokens. The process of pulling images from public registries is opaque, and the convenience of container deployment (plus pressure on developers to produce results, fast) can mean that apps can easily be constructed with inherently insecure, or even malicious components.

Orchestration layers: For larger projects, orchestration tools such as Kubernetes can increase the attack surface, usually due to misconfiguration and high levels of complexity. A 2022 survey from D2iQ found that only 42% of applications running on Kubernetes made it into production – down in part to the difficulty of administering large clusters and a steep learning curve.

According to Ari Weil at Akamai, “Kubernetes is mature, but most companies and developers don’t realise how complex […] it can be until they’re actually at scale.”

Container security with machine learning

The specific challenges of container security can be addressed using machine learning algorithms trained on observing the components of an application when it’s ‘running clean.’ By creating a baseline of normal behaviour, machine learning can identify anomalies that could indicate potential threats from unusual traffic, unauthorised changes to configuration, odd user access patterns, and unexpected system calls.

ML-based container security platforms can scan image repositories and compare each against databases of known vulnerabilities and issues. Scans can be automatically triggered and scheduled, helping prevent the addition of harmful elements during development and in production. Auto-generated audit reports can be tracked against standard benchmarks, or an organisation can set its own security standards – useful in environments where highly-sensitive data is processed.

The connectivity between specialist container security functions and orchestration software means that suspected containers can be isolated or closed immediately, insecure permissions revoked, and user access suspended. With API connections to local firewalls and VPN endpoints, entire environments or subnets can be isolated, or traffic stopped at network borders.

Final word

Machine learning can reduce the risk of data breach in containerised environments by working on several levels. Anomaly detection, asset scanning, and flagging potential misconfiguration are all possible, plus any degree of automated alerting or amelioration are relatively simple to enact.

The transformative possibilities of container-based apps can be approached without the security issues that have stopped some from exploring, developing, and running microservice-based applications. The advantages of cloud-native technologies can be won without compromising existing security standards, even in high-risk sectors.

(Image source)

[saynaija]

Nigeria Police To Commence Enforcement Of E-CMR, Tasks Vehicle Users To Register For Safety, Security Compliance

Nigeria Police To Commence Enforcement Of E-CMR, Tasks Vehicle Users To Register For Safety, Security Compliance As part of the efforts of the Inspector-General of Police, IGP Kayode Egbetokun, NPM, Ph.D, to enhancing the security of lives and property, the Nigeria Police Force is set to commence the enforcement of the digitalized Central Motor Registry (e-CMR) within the next 14 days,…

[qcs01]

Deploying Your First Application on OpenShift

Deploying an application on OpenShift can be straightforward with the right guidance. In this tutorial, we'll walk through deploying a simple "Hello World" application on OpenShift. We'll cover creating an OpenShift project, deploying the application, and exposing it to the internet.

Prerequisites

OpenShift CLI (oc): Ensure you have the OpenShift CLI installed. You can download it from the OpenShift CLI Download page.

OpenShift Cluster: You need access to an OpenShift cluster. You can set up a local cluster using Minishift or use an online service like OpenShift Online.

Step 1: Log In to Your OpenShift Cluster

First, log in to your OpenShift cluster using the oc command.

oc login https://<your-cluster-url> --token=<your-token>

Replace <your-cluster-url> with the URL of your OpenShift cluster and <your-token> with your OpenShift token.

Step 2: Create a New Project

Create a new project to deploy your application.

oc new-project hello-world-project

Step 3: Create a Simple Hello World Application

For this tutorial, we'll use a simple Node.js application. Create a new directory for your project and initialize a new Node.js application.

mkdir hello-world-app cd hello-world-app npm init -y

Create a file named server.js and add the following content:

const express = require('express'); const app = express(); const port = 8080; app.get('/', (req, res) => res.send('Hello World from OpenShift!')); app.listen(port, () => { console.log(`Server running at http://localhost:${port}/`); });

Install the necessary dependencies.

npm install express

Step 4: Create a Dockerfile

Create a Dockerfile in the same directory with the following content:

FROM node:14 WORKDIR /app COPY package*.json ./ RUN npm install COPY . . EXPOSE 8080 CMD ["node", "server.js"]

Step 5: Build and Push the Docker Image

Log in to your Docker registry (e.g., Docker Hub) and push the Docker image.

docker login docker build -t <your-dockerhub-username>/hello-world-app . docker push <your-dockerhub-username>/hello-world-app

Replace <your-dockerhub-username> with your Docker Hub username.

Step 6: Deploy the Application on OpenShift

Create a new application in your OpenShift project using the Docker image.

oc new-app <your-dockerhub-username>/hello-world-app

OpenShift will automatically create the necessary deployment configuration, service, and pod for your application.

Step 7: Expose the Application

Expose your application to create a route, making it accessible from the internet.

oc expose svc/hello-world-app

Step 8: Access the Application

Get the route URL for your application.

oc get routes

Open the URL in your web browser. You should see the message "Hello World from OpenShift!".

Conclusion

Congratulations! You've successfully deployed a simple "Hello World" application on OpenShift. This tutorial covered the basic steps, from setting up your project and application to exposing it on the internet. OpenShift offers many more features for managing applications, so feel free to explore its documentation for more advanced topic

For more details click www.qcsdclabs.com 

[govindhtech]

AWS CodeArtifact: Secure Your Software Supply Chain

AWS CodeArtifact Documentation

CodeArtifact

AWS CodeArtifact is now available for Ruby developers to safely store and retrieve their gems. CodeArtifact is compatible with bundler and gem, two common developer tools.

Numerous packages are frequently used by applications to expedite development by offering reusable code for frequent tasks including data manipulation, network access, and cryptography. In order to access distant services, developers can also include SDKs, such the AWS SDKs. These packages could originate from outside sources like open source initiatives or from other departments inside your company. The management of dependencies and packages is essential to software development. Ruby developers commonly utilise gem and bundler, although other languages such as Java, C#, JavaScript, Swift, and Python have tools for fetching and resolving dependencies.

Nevertheless, there are security and legal issues when employing third-party software. It is imperative for organisations to verify that package licences align with their projects and do not infringe against intellectual property rights. It is imperative that they confirm the safety of the supplied code and rule out any potential vulnerabilities that could lead to a supply chain assault. Organisations usually employ private package servers to overcome these issues. Only packages approved by legal and security departments and accessible through private repositories may be used by developers.

With the managed service AWS CodeArtifact, packages may be safely distributed to internal development teams without requiring infrastructure management. In addition to npm, PyPI, Maven, NuGet, SwiftPM, and generic formats, CodeArtifact now supports Ruby gems.

Using already-existing technologies like gem and bundler, you may publish and download Ruby gem dependencies from your CodeArtifact repository on the AWS Cloud. Packages can be referenced in your Gemfile after being stored in AWS CodeArtifact. During the build process, your build system will then download approved packages from the CodeArtifact repository.

Keep and distribute artefacts among accounts, granting your teams and building systems the proper amount of access. Use a fully managed service to cut down on the overhead associated with setting up and maintaining an artefact server or infrastructure. Pay as you go for software packages, requests performed, and data moved outside of the region; you only pay for what you use.

How AWS CodeArtifacts functions

Using well-known package managers and build tools like Maven, Gradle, npm, Yarn, Twine, pip, NuGet, and SwiftPM, you may save artefacts using AWS CodeArtifact. To give you access to the most recent iterations of application dependencies, AWS CodeArtifact has the capability to automatically fetch software packages from public package repositories on demand.

Features of AWS CodeArtifacts

Any size organisation can securely store, publish, and distribute software packages used in software development with AWS CodeArtifact, a fully managed artefact repository service.

Consume public artefact repository packages

With a few clicks, CodeArtifact may be configured to retrieve software packages from public repositories like NuGet.org, Maven Central, PyPI, and the npm Registry. Your developers and CI/CD systems can always get the application dependencies they need since CodeArtifact automatically downloads and saves them from these repositories.

Release and distribute packages

You can publish packages created within your company using the package managers you already have, such npm, pip, yarn, twine, Maven, NuGet, and SwiftPM. Instead of building their own packages, development teams can save time by fetching packages published to and shared in a single organisational repository.

Approve a package’s use and observe its use

CodeArtifact APIs and AWS EventBridge can be used to create automated procedures that approve packages for use. By integrating with AWS CloudTrail, leaders can easily discover packages that require updating or removal by having visibility into which packages are being used and where.

High availability and robustness

AWS CodeArtifact uses Amazon S3 and Amazon DynamoDB to store artefact data and metadata, and it functions in different Availability Zones. Your encrypted data is extremely available and highly durable since it is redundantly stored across many facilities and various devices inside each facility.

Make use of a completely managed service

With CodeArtifact, you can concentrate on providing for your clients rather than setting up and managing your development environment. A highly available solution that can grow to accommodate any software development team’s demands is CodeArtifact. There are no servers to maintain or software updates to do.

Turn on monitoring and access control

Amazon CodeArtifact gives you visibility into who has access to your software packages and control over who can access them thanks to its integrations with AWS CloudTrail and IAM. For package encryption, CodeArtifact additionally interfaces with AWS Key Management Service (KMS).

Package access inside a VPC

By configuring AWS CodeArtifact to use AWS PrivateLink endpoints, you can improve the security of your repositories. This prevents data from being sent over the open internet and enables devices operating within your VPC to access packages stored in CodeArtifact.

CodeArtifact Use cases

Obtain software packages whenever needed. Set up CodeArtifact to retrieve content from publicly accessible repositories, including NuGet, Maven Central, Python Package Index (PyPI), and npm Registry.

Release and distribute packages

By publishing to a central organisational repository, you can safely distribute private products throughout organisations.

Accept bundles and check use

Using CodeArtifact APIs and Amazon EventBridge, create automated review processes. AWS CloudTrail provides package visibility.

Use packages in automated builds, and publish them

Update your private packages securely with IAM and publish new versions by pulling dependencies from CodeArtifact in AWS CodeBuild.

Cost and accessibility

The CodeArtifact fees for Ruby packages are identical to those of the currently supported other package formats. Three criteria determine CodeArtifact’s billing: storage (measured in gigabytes per month), requests, and data transferred to and from other AWS regions or the internet. You can perform your continuous integration and delivery (CI/CD) operations on Amazon Elastic Compute Cloud (Amazon EC2) or AWS CodeBuild, for example, without paying for the CodeArtifact data transfer because data transfer to AWS services in the same Region is free. The information is on the pricing page as usual.

Read more on govindhtech.com