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Amazon

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Announcing the AWS CDK L2 Construct for Amazon Cognito Identity Pools

The Amazon Cognito Identity Pool Level 2 (L2) construct in AWS CDK simplifies the creation and management of identity pools and provider integrations.
AWS CDK provides Constructs at different levels: L1, L2, and L3. L2 constructs offer high-level abstractions.
Previously, developers had to work with verbose code when creating Cognito Identity Pools in CDK applications.
The new AWS CDK Cognito Identity Pool L2 construct streamlines the creation and management of roles and permissions.
It offers built-in support for various identity providers and reduces the complexity of managing identity pools.
Developers can focus on application development rather than handling roles and provider configurations.
The L2 construct automatically sets up roles for authenticated and unauthenticated users.
With the L2 construct, developers can easily grant permissions to different user types for accessing AWS resources.
Users can enable multiple authentication providers like Facebook and Google with configuration details.
Considerations when moving to this new construct include upgrading from L1 resources, compatibility, and customization needs.

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Hackernoon

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The HackerNoon Newsletter: Heres What Your AI-Generated Code Is Not Telling You (3/27/2025)

20-Year Old Bill Gates Gives Opening Address to Hobbyists in 1976
How to Deploy a Serverless API With AWS SAM CLI GitHub Actions
Want to Get to the Important Truth Inside Any Privacy Policy? Heres How
Heres What Your AI-Generated Code Is Not Telling You

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Hashicorp

171

Image Credit: Hashicorp

Preventative beats reactive: Modern risk management for infrastructure vulnerabilities

Organizations often overlook vulnerabilities in system images, with many container images in production containing critical vulnerabilities.
Cloud environments present new security challenges that require modernized risk management approaches.
Challenges in cloud risk management include visibility, updating, and scaling, especially in hybrid and multi-cloud environments.
Legacy workflows are inadequate for addressing vulnerabilities in modern infrastructure.
Implementing preventative risk management strategies is essential to protect organizations from vulnerable images.
Using tools like HCP Terraform and HCP Packer can help organizations manage system images efficiently and reduce vulnerabilities.
Continuous repaving of system images every 30 days can help prevent vulnerabilities and reduce the window for exploitation.
The approach of proactive preventative risk management complements reactive security methods, enhancing overall infrastructure security.
By focusing on security before deployment, organizations can decrease the burden on reactive security measures.
HCP Terraform and HCP Packer offer a comprehensive workflow for vulnerability and patch management in infrastructure.

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Dev

155

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Top Developer Forums & Platforms

1. Stack Overflow: The ultimate Q&A platform for developers, with a vast library of answered questions and a reputation system.
2. GitHub Discussions: Collaborate beyond code with organized discussions by repositories and topics, offering a space for brainstorming and community building.
3. Reddit's r/programming subreddit: A vibrant community for industry news, trends, and real-world experiences with open discussions on emerging technologies.
4. Dev.to: Supportive community for developers to share knowledge, ask questions, and collaborate on ideas by writing and publishing blogs and joining discussions.

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Qualys

404

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How DevOps Can Move Fast and Stay Secure with TruRisk

In modern DevOps, speed is everything—and so is security. But for most teams, the two feel constantly at odds.
Qualys TruRisk helps prioritize what matters, reduces alert fatigue, and enables faster shipping without compromising security.
By grouping and presenting vulnerabilities in a concise manner, TruRisk reduces noise, allowing DevOps teams to focus on what needs attention.
TruRisk assesses exploitability using real-time threat intelligence, enabling teams to prioritize vulnerabilities with the highest risk.

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The New Stack

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An Ode to the Unsung Heroes of Kubernetes

Last year marked the 10th anniversary of Kubernetes, a key player in container orchestration and cloud native computing.
As Kubernetes evolves, the community behind it plays a vital role in its growth and innovation.
The project's success stems from shared knowledge and operational expertise, leading to a robust ecosystem.
Collaboration among contributors across organizations ensures Kubernetes' sustainability and adaptability to new technologies.
Continuous efforts focus on optimizing control and data planes, enhancing performance and efficiency.
Security enhancements like node authorization and addressing user pain points improve Kubernetes' defenses and usability.
Ongoing developments in resource management, upgrade experience, and developer tools aim to meet evolving industry demands.
The community's dedication to improving Kubernetes ensures its longevity and ability to meet industry needs.
Contributing to Kubernetes through code, reviews, or support can shape its future and benefit the entire community.
Joining the Kubernetes community offers opportunities to contribute and make a difference in the open-source ecosystem.

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Dev

220

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Syncing AWS S3 Storage Bucket Objects to LocalStack S3 Storage Bucket

LocalStack is a cloud service emulator that allows running AWS applications locally without connecting to a remote cloud provider.
To install LocalStack CLI, download the binary, extract it, and verify the installation by checking the version.
Configure LocalStack by obtaining an API key, adding it to the CLI, and starting LocalStack.
Install both the official AWS CLI and LocalStack's AWS CLI, which is a wrapper for LocalStack.
Create an S3 storage bucket in LocalStack using AWS CLI commands.
Sync AWS S3 storage buckets with LocalStack S3 storage buckets using sequential or direct methods.
The sequential sync method involves syncing data to a local temp folder and then to the LocalStack S3 bucket.
The direct sync method directly syncs data to the LocalStack S3 bucket without storing it locally first.
For performance, the local storage first approach is recommended for faster syncs compared to the direct approach.
Consider using tools like s5cmd for true multithreading and improved speed in syncing large S3 storage buckets.

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Dzone

171

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The Future of DevOps

The Infrastructure as Code (IaC) landscape is undergoing a transformation.
Terraform is losing ground to more open solutions after closing its license in August 2023.
OpenTofu forked and contributed to the Linux Foundation, leading to Hashicorp's acquisition by IBM.
Other IaC toolings like Crossplane, Pulumi, and ARM templates are gaining momentum.

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Dev

126

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Building a Secure Authentication System in Node.js using JWT

Building a Secure Authentication System in Node.js using JWT
Authentication is a crucial aspect of backend development, ensuring secure access to resources.
In this tutorial, we'll build a secure authentication system in Node.js using JSON Web Tokens (JWT).
You've successfully built a secure authentication system in Node.js using JWT. This setup ensures users can securely authenticate and access protected resources.

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Itrevolution

204

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Delivering DUFFER: Essential Lessons for Defense Acquisition Success

“Delivering DUFFER: Crossing the Bureaucratic Battlefield” offers insights into defense acquisition challenges through the journey of Colonel Frank Kafka in delivering a logistics system called DUFFER.
The article emphasizes the need for faster delivery timelines in defense acquisition to align with current strategic demands.
Through Kafka's narrative, readers experience the challenges of program management and learn from his failures and successes.
The six dreams in the story cover lessons on user engagement, defense funding, political engagement, collaborating with technical experts, realistic testing, and successful deployment.
Key takeaways include the importance of early stakeholder engagement, navigating funding processes, building advocacy, comprehensive testing, and leading with strategic vision.
The article reframes defense acquisition challenges as an ecosystem of stakeholders and has been praised by high-ranking military officials for its insights.
Lessons from the article are broadly applicable to leaders in any complex organization, emphasizing the importance of building coalitions and understanding organizational dynamics.
The framework presented focuses on the need for innovation leaders to navigate complex landscapes and maintain focus on end-user needs.
The article concludes by highlighting the relevance of lessons from Kafka's experience in achieving success in delivering new capabilities in modern organizations.
“Delivering DUFFER” provides an engaging and insightful roadmap for success in defense acquisition and innovation leadership.

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Dev

325

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Write your first code using C#

The code displays a basic 'Hello World!' message.
Console.WriteLine() is used to print a message to the console and adds a line feed at the end of the line to create a new line.
Console.Write() is used to print a message to the console without adding a line feed at the end.

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Dev

320

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Building a bot to talk to my cats

CatBot is an AI chat-bot idea that allows you to chat with your furry friends.
The project involved using Docker containers for frontend, backend, and model services.
Initially, Dockerode was used to manage containers, but it was later replaced with axios for Kubernetes deployment compatibility.
The process included spinning up containers locally with Docker Compose and later transitioning to Minikube and Amazon EKS.
Docker Compose Bridge was used to translate Compose files into Kubernetes manifests for deployment.
Networking challenges arose when separating frontend and backend services within the same container.
Deployment to Amazon EKS involved setting up clusters, IAM permissions, and managing resource requests for improved performance.
Using EKS, the CatBot application was successfully deployed, but encountered issues like slow response times and connection problems that were addressed through explicit configurations.
The author humorously concludes by stating the CatBot app is now operational and hints at future optimizations involving CI/CD pipelines, image versioning, and Docker Build Cloud.

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Hackernoon

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How to Deploy a Serverless API With AWS SAM CLI & GitHub Actions

Using AWS SAM to deploy an API simplifies infrastructure management and integrates with services like Lambda, S3, and CloudWatch.
It allows developers to focus on application logic while AWS handles scaling and maintenance, ideal for modern high-availability APIs.
The tutorial covers creating a simple API, deploying with SAM CLI, and automating deployments with GitHub Actions.
Prerequisites include installing AWS CLI, SAM CLI, Node.js, Docker, and having a GitHub account.
Steps involve initializing SAM, defining the API endpoint, building, testing locally, and deploying the API.
Deployment includes packaging resources and confirming changes for deployment via SAM CLI.
CI/CD setup with GitHub Actions involves creating workflows for automated deployments.
GitHub secrets are used for managing AWS credentials and region to enable the CI/CD pipeline.
IAM user permissions for Lambda, S3, CloudFormation, and API Gateway are set up for AWS user access.
Developers can easily update and test changes, triggering automatic deployments with each commit to the main branch.

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Dev

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How to Set Up a Jenkins Host on a Remote Server for Ansible Job Execution

Integrating Jenkins with Ansible is essential for automating infrastructure management and deployment in modern DevOps workflows.
This article provides a step-by-step guide to configure Jenkins to execute Ansible jobs on a remote server.
Without setting up Jenkins to connect with the remote server, it cannot run Ansible playbooks and YAML files.
By properly setting up a Jenkins host on a remote server, it enables seamless automation and execution of Ansible tasks.

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Siliconangle

333

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Unified data intelligence: Google Cloud and Databricks fuel AI innovation

Databricks and Google Cloud collaboration aims to democratize data and AI through a unified data intelligence platform that scales AI and analytics efficiently.
The partnership between Databricks and Google Cloud Marketplace facilitates businesses to adopt AI and analytics solutions without heavy infrastructure overhead.
Databricks' evolution includes Unity Catalog for centralized governance and integration with Google Cloud to connect with Google's data ecosystem seamlessly.
Databricks launched a fully containerized deployment on Google Cloud, optimizing resource allocation and enhancing cost efficiencies for organizations.
Technical synergy between Google Cloud and Databricks allows for interoperability with tools like BigQuery and Vertex AI, improving workflow efficiency.
Companies like Uplight leverage Databricks through Google Cloud Marketplace to process real-time insights and optimize energy use at scale.
Uplight's AI-driven insights enabled significant energy savings and rapid application deployment during a severe California heat wave in 2022.
Financial institutions and companies worldwide utilize Databricks for critical applications such as fraud detection and trade settlement, benefiting from unified data intelligence.
The partnership success is attributed to the optimization of Databricks to run effectively on Google Cloud, enhancing performance and user experience.
The integration between Databricks and Google Cloud Marketplace showcases the power of unified data intelligence for transforming raw data into valuable insights efficiently.

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