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@devopslinks shared an update, 7 months, 1 week ago
FAUN.dev()

SUSE Linux Enterprise 16 Launches with AI for Smarter Operations

Ansible SUSE Snapper

SUSE releases Linux Enterprise Server 16, integrating AI to boost efficiency and cut costs, with features like secure AI integration and a 16-year support lifecycle.

SUSE Linux Enterprise 16 Launches with AI for Smarter Operations
News FAUN.dev() Team
@devopslinks shared an update, 7 months, 1 week ago
FAUN.dev()

Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture

Ubuntu

Ubuntu 25.10 introduces support for amd64v3 architecture variants, enhancing performance by targeting specific silicon variants, with full support expected in the 26.04 LTS release.

Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture
News FAUN.dev() Team
@devopslinks shared an update, 7 months, 1 week ago
FAUN.dev()

Google Introduces Quantum-Safe KEMs in Cloud KMS for Future Security

Cloud KMS

Google introduces quantum-safe KEMs in Cloud KMS to counter future quantum computing threats, urging organizations to transition to post-quantum cryptography.

Google Introduces Quantum-Safe KEMs in Cloud KMS for Future Security
News FAUN.dev() Team
@kala shared an update, 7 months, 1 week ago
FAUN.dev()

Red Hat Joins Forces with NVIDIA to Bring CUDA Everywhere

NVIDIA CUDA Toolkit

Red Hat and NVIDIA partner to distribute the NVIDIA CUDA Toolkit across Red Hat platforms, aiming to simplify AI adoption and enhance developer experience.

Red Hat Joins Forces with NVIDIA to Bring CUDA Everywhere
News FAUN.dev() Team
@devopslinks shared an update, 7 months, 1 week ago
FAUN.dev()

Amazon to Lay Off 14,000 Workers as Part of 30,000-Job Restructuring

#Layoffs  #Workfor...  #Amazon  #aws  #AI 

Amazon plans to lay off 14,000 employees to streamline operations and boost AI investment, part of a broader strategy affecting up to 30,000 jobs.

Amazon to Lay Off 14,000 Workers as Part of 30,000-Job Restructuring
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@laura_garcia shared a post, 7 months, 1 week ago
Software Developer, RELIANOID

RELIANOID will be attending The North European Cyber Days 2025 in Oslo (Nov 4–6)!

We’re proud to support Europe’s cybersecurity and AI ecosystem — driving innovation, resilience, and trusted digital transformation with our high-performance ADC and proxy technologies. #Relianoid#CyberDays2025#CyberSecurity#AI#DigitalResilience#Innovation https://www.relianoid.com/about-us/events/t..

The north european cyber days oslo relianoid
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@elenamia shared a post, 7 months, 1 week ago
Technical Consultant, Damco Solutions

Why Enterprises Are Moving from Break-Fix to Proactive Application Maintenance and Support

Discover why forward-thinking enterprises are replacing break-fix models with proactive application maintenance.

10782917_19199321
Story
@brooksamybrook shared a post, 7 months, 1 week ago
Executive, CMARIX InfoTech

How to Assess and Improve Growth with the AI Maturity Model

AI maturity measures an organization’s ability to generate consistent business value from AI across strategy, data, people, and technology. The AI Maturity Model spans four stages—Initial, Repeatable, Defined, and Optimized—guiding firms from experimentation to full AI integration. Assessing AI maturity helps identify gaps, align investments, and turn AI from scattered projects into a sustainable, strategic advantage.

Assess Your Organization’s AI Maturity Model
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@arunsinghh011 shared a post, 7 months, 1 week ago
Business associate, Xcelore Private Limited

Building the Future: The Art of Smart AI Product Development

Have you ever wondered when “AI” stopped being a sci-fi buzzword and started showing up in your morning to-do list? Somewhere between that first predictive email and the chatbot that apologizes better than most customer reps, it happened. Quietly. Suddenly. Like caffeine sneaking into your bloodstream before the day really begins. That’s where AI product development services come in—not as some sterile tech jargon, but as the very engine redefining how we build, think, and work.

Story
@alexgrave876 shared a post, 7 months, 1 week ago
Content writer, Alpharive

The Architecture of Agentic AI: Building Machines That Think, Act, and Evolve

Explore the layered architecture of Agentic AI—how intelligent systems observe, reason, and act within their environments. Learn how perception, reasoning, and action layers create adaptive, self-improving machines built for real-world decision-making.

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Flask is an open-source web framework written in Python and created by Armin Ronacher in 2010. It is known as a microframework, not because it is weak or incomplete, but because it provides only the essential building blocks for developing web applications. Its core focuses on handling HTTP requests, defining routes, and rendering templates, while leaving decisions about databases, authentication, form handling, and other components to the developer. This minimalistic design makes Flask lightweight, flexible, and easy to learn, but also powerful enough to support complex systems when extended with the right tools.

At the heart of Flask are two libraries: Werkzeug, which is a WSGI utility library that handles the low-level details of communication between web servers and applications, and Jinja2, a templating engine that allows developers to write dynamic HTML pages with embedded Python logic. By combining these two, Flask provides a clean and pythonic way to create web applications without imposing strict architectural patterns.

One of the defining characteristics of Flask is its explicitness. Unlike larger frameworks such as Django, Flask does not try to hide complexity behind layers of abstraction or dictate how a project should be structured. Instead, it gives developers complete control over how they organize their code and which tools they integrate. This explicit nature makes applications easier to reason about and gives teams the freedom to design solutions that match their exact needs. At the same time, Flask benefits from a vast ecosystem of extensions contributed by the community. These extensions cover areas such as database integration through SQLAlchemy, user session and authentication management, form validation with CSRF protection, and database migration handling. This modular approach means a developer can start with a very simple application and gradually add only the pieces they require, avoiding the overhead of unused components.

Flask is also widely appreciated for its simplicity and approachability. Many developers write their first web application in Flask because the learning curve is gentle, the documentation is clear, and the framework itself avoids unnecessary complexity. It is particularly well suited for building prototypes, REST APIs, microservices, or small to medium-sized web applications. At the same time, production-grade deployments are supported by running Flask applications on WSGI servers such as Gunicorn or uWSGI, since the development server included with Flask is intended only for testing and debugging.

The strengths of Flask lie in its minimalism, flexibility, and extensibility. It gives developers the freedom to assemble their application architecture, choose their own libraries, and maintain tight control over how things work under the hood. This is attractive to experienced engineers who dislike being boxed in by heavy frameworks. However, the same freedom can become a limitation. Flask does not include features like an ORM, admin interface, or built-in authentication system, which means teams working on very large applications must take on more responsibility for enforcing patterns and maintaining consistency. In situations where a project requires an opinionated, all-in-one solution, Django or another full-stack framework may be a better fit.

In practice, Flask has grown far beyond its initial positioning as a lightweight tool. It has been used by startups for rapid prototypes and by large companies for production systems. Its design philosophy—keep the core simple, make extensions easy, and let developers decide—continues to attract both beginners and professionals. This balance between simplicity and power has made Flask one of the most enduring and widely used Python web frameworks.