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Security Defaults in Azure: Simplifying Identity Security for All

Microsoft Azure provides Security Defaults to help organizations establish baseline security measures within Azure Active Directory (Azure AD) that include Multi-Factor Authentication (MFA), self-service password reset, enhanced privileged access management, and blocking legacy authentication protocols. The implementation of Security Defaults offers ease of use, compliance assistance, and cost efficiency, especially for small and medium-sized businesses. However, certain scenarios may require disabling Security Defaults such as custom policies, legacy systems, granular control, and development environments. Disabling Security Defaults increases visibility to threats and may make it harder to meet compliance requirements and cause user mistakes.
Disabling Security Defaults should only be done if you have alternative security measures in place. Organisations must ensure they have equivalent or better security measures in place before turning off Security Defaults.
Best practices after disabling Security Defaults include Setting up Conditional Access policies, Enabling Custom MFA policies, Monitoring Azure AD logs, Educating your Users, and using Azure AD Privileged Identity Management (PIM). Advanced Alternatives to Security Defaults include Identity Protection, App-Based Conditional Access, and Zero Trust Security Model.

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Medium

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Reading Database Credentials From HashiCorp Vault at Application Startup

To read database credentials from HashiCorp Vault at application startup in a Spring Boot application, follow these steps:
1. Set up a Vault server and store the database username and password as secrets.
2. Create a Spring Boot app with PostgreSQL and configure it to read the database credentials from the Vault server at startup time.
3. Install Vault on your machine and start the Vault server with the token value 'root'.

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Infoq

188

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Post-Quantum Cryptography in Java

Two new JEPs, 496 and 497, tackle the subject of Post-Quantum Cryptography (PQC) in Java 24.
JEP 496 is a module-lattice-based key encapsulation mechanism, while JEP 497 is a digital signature algorithm.
Current cryptographic protections use problems in discrete maths (such as factorization of large numbers) that are believed to be computationally expensive to perform.
In recent years, computers that take advantage of quantum mechanical behaviour have started to become available.
A future large-scale quantum computer could use new techniques such as Shor's algorithm, to compromise the security of widely-deployed public-key based algorithms.
The ideal cryptographic system uses a key which was exchanged in advance between two parties, by a private channel.
The US government has mandated that computer systems handling sensitive information must be upgraded to use ML-KEM and other forthcoming standards to protect against quantum attacks.
As of 2024, nation-state level attackers could, theoretically, start capturing and storing large volumes of encrypted traffic.
The path ahead is far from clear, and new techniques could accelerate their delivery even faster.
It is necessary for Java to begin supporting post-quantum capabilities in advance of full standardization.

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Kubernetes

361

Kubernetes v1.32 Adds A New CPU Manager Static Policy Option For Strict CPU Reservation

Kubernetes v1.32 introduces a new CPU Manager static policy option called strict-cpu-reservation.
This feature is currently in alpha and requires explicit enabling in the cluster.
The strict-cpu-reservation option allows defining explicit CPU sets for system and Kubernetes daemons, reducing impact from uncontrolled interrupts/timers.
Enabling the feature requires configuring CPUManagerPolicyAlphaOptions and setting strict-cpu-reservation to true.

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Dev

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What is CI (Continuous Integration)? A Guide with Interactive Tool

Continuous Integration practices allow developers to frequently integrate their code changes into a main repository and pass automated building and tests, which helps to catch bugs early, avoid merge conflicts, and ensure the quality of software through automated verification.
Without CI, developers experience chaos and confusion when trying to put all their separate parts together. On the other hand, CI helps identify and fix problems immediately, finds little errors all week, and knows exactly which change broke the system.
Choosing the right CI tool depends on the hosting platform, the free tier provided, and the setup difficulty. Some of the popular tools include GitHub Actions, Jenkins, GitLab CI, CircleCI, Travis CI, and Azure Pipelines.
A good CI tool, like an eager assistant, should be quick, reliable, clear, and helpful by giving fast feedback, consistent results, easy-to-understand information, and detail instructions on how to fix problems.
To get started with CI, developers should begin with basic checks such as spelling and basic tests, add gradually as they become more comfortable, and use the right tools such as GitHub Actions, Jenkins, or GitLab.
Monitoring CI pipelines is crucial to gaining insights for optimization. Tools such as CICube help track build times across various tools, monitor success rates, compare performance, and gain insights for optimization.

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Dev

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Simplify Environment Variable Management with GitHub Environments

Managing environment variables in CI/CD workflows can be simplified with GitHub Environments.
The traditional approach of using conditional logic for each environment becomes complex and difficult to maintain.
GitHub Environments offer a simpler approach by eliminating branching logic and providing a centralized management system.
Key benefits include reduced complexity, centralized management, improved security, and scalability.

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Dev

359

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Linux Commands in DevOps: A Practical Guide with Examples

Linux commands form the backbone of DevOps workflows.
A curated list of 70 essential Linux commands for DevOps is provided, categorized and explained.
Commands for file and directory management, searching and viewing files, text editors, compression and archiving, networking, system administration, user management, scheduling and automation, file system management, development utilities, security, and miscellaneous tasks are included.
Mastering these commands is crucial for efficient operations in DevOps workflows.

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Dev

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A Media Server on Steroids - Walkthrough

This article guides readers on creating a media server on Proxmox that is fail-tolerant, scalable, and cost-effective.
The author recommends using an old/unused laptop or PC with minimum requirements of 64 bit VT CPU (Virtualization-capable), 4GB RAM, a hard drive of 256GB min, and Ethernet jack.
Other necessary items include an unused USB/drive, 2 or more Ethernet cables, a home PC with Ethernet port, and a router.
Readers are instructed on how to create a private network in their homes using Squid, and how to set up Proxmox and attach external storage to their VMs.
The article also guides readers on how to install Kubernetes, specifically K3S, on Proxmox and setting up the Jellyfin K3S deployment.
The article ends with general challenges encountered in developing and scaling the K3S cluster media server.

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Dev

241

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Workspaces and Environment Management in Terraform Day 8

Terraform workspaces provide a way to manage multiple environments within a single configuration.
Each workspace has its own state file, allowing for environment segregation.
Workspace-specific variables can be used to tailor configurations for each environment.
Best practices include consistent naming conventions, segregating state files, organizing variables, validating configurations, implementing access controls, testing changes in lower environments, and automating environment management.

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14 Likes

Dev

126

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How to Build a Kubernetes Cluster Using kubeadm

Kubernetes (K8s) is a container orchestration platform that helps deploy, scale, and manage containerized applications. One way to manage a Kubernetes cluster is using kubeadm on AWS EC2 instances.
In this guide, we will set up a Kubernetes cluster with one master node and one worker node.
The master and worker nodes use Ubuntu 20.04 or newer as the OS. Open port 6443 on the master node.
Docker, kubeadm, kubelet, and kubectl are the essential tools required to set up the cluster.
Start by launching the two EC2 instances: one t2.large instance as the master node and one t2.medium instance as the worker node.
Update and upgrade both nodes, install Docker, kubeadm, kubelet, kubectl, and initialize the master node.
Add the worker node to the cluster, verify the cluster, and deploy the Nginx pod.
This setup provides a foundation for experimenting with advanced Kubernetes features and workloads.
Overall, building a Kubernetes cluster using kubeadm is a straightforward process that lets you deploy, scale, and manage containerized applications efficiently.
Author: Vansh Kapoor

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Dev

215

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From Paper to Code: Why Security is Now a Business Imperative for Developers

Software isn’t just about making businesses efficient anymore — it’s about making them secure.
Developers must prioritize security from the beginning, focusing on encryption of data in transit and at rest, validating all user inputs, and avoiding misconfigurations.
During deployment, managing secrets securely and strengthening the CI/CD pipeline are essential for maintaining security.
In the maintenance phase, monitoring for vulnerabilities, planning for incident response, adopting a zero-trust architecture, and considering advanced security measures like securing serverless apps and protecting APIs are critical.

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12 Likes

Dev

169

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The Traffic Cop of the Internet: A Fun Guide to Load Balancers

A load balancer evenly distributes incoming network requests across multiple servers to prevent overload.
Load balancers are important for preventing server meltdowns and ensuring a smooth user experience.
Three popular load balancing algorithms are Round Robin, Least Connections, and Least Response Time.
Building a load balancer in Go using goroutines allows for efficient and scalable request handling.

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10 Likes

Medium

241

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Creating a Kubernetes Cluster using kubeadm

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications.
Setting up a Kubernetes cluster is important for managing containerized applications at scale.
Kubeadm is a tool that can be used to bootstrap Kubernetes clusters efficiently.
This guide explains how to create a Kubernetes cluster with one master node and one worker node using kubeadm on AWS EC2 instances.

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Dev

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10 Shocking React and Node.js Tips That Will Change the Way You Code Forever!

Lazy loading components can improve initial load time and user experience.
React.memo can prevent unnecessary renders and boost performance.
For small to medium apps, React's useReducer and useContext can manage state seamlessly.
CSS-in-JS libraries like styled-components or emotion can help with scoped styling.

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5 Likes

Dev

385

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The Role of Algorithms in Modern Computational Systems

Algorithms are the foundation of computational systems and software design.
They are used to solve problems and have applications in areas such as cryptography, artificial intelligence, and distributed systems.
Algorithms can be designed using paradigms like divide and conquer, dynamic programming, and greedy algorithms.
Optimization techniques, including algorithmic and hardware-specific optimizations, improve efficiency.

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