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@matx104 started using tool Azure Kubernetes Service (AKS) , 2 weeks, 4 days ago.

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@matx104 started using tool AWS EKS , 2 weeks, 4 days ago.

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@laura_garcia shared a post, 2 weeks, 4 days ago

Software Developer, RELIANOID

🎉 𝗪𝗲 𝗗𝗶𝗱 𝗜𝘁 — 𝟭,𝟳𝟬𝟬+ 𝗙𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻! 🚀

Big news from the RELIANOID team! We’ve just crossed 𝟭,𝟳𝟬𝟬 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 on LinkedIn, and we couldn’t be more grateful 🙌 This community is growing thanks to you — our partners, customers, tech enthusiasts, and cybersecurity professionals who follow our journey in application delivery, security, and high..

Link Xygeni Team

@mashka shared a link, 2 weeks, 4 days ago

Paid Acquisition and Growth Marketing, xygeni

When AI Became Part of the Attack Surface

AI is now a core execution layer in software delivery. In 2025, attackers exploited automation, trusted pipelines, and AI-generated code instead of vulnerabilities. This report explains why traditional AppSec signals failed and what must change in 2026.

New AppSec Attack Trends for 2026 - Promo Redes (3)

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@viktoriiagolovtseva shared a post, 2 weeks, 4 days ago

How to Plan a Product Release in Jira

From the Release Hub and backlog management to automated release notes, Jira has plenty of tools to help you plan your next release. In this blog post, we explain how to use these tools effectively for different release types. You will also get practical tips for extending the native Jira release planning capabilities with additional apps. Let’s dive in!

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@varbear shared a link, 2 weeks, 5 days ago

FAUN.dev()

An Honest Review of Go

Go gets big props for its built-in concurrency model withgoroutinesandchannels, which make lightweight, scalable parallelism easy and ergonomic. The author criticizes Go's type system for lacking things likeenums, closed type sets, and tuples, making certain patterns awkward compared with Rust's ric.. read more

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@varbear shared a link, 2 weeks, 5 days ago

FAUN.dev()

Reversing YouTube's "Most Replayed" Graph

An engineer cracked open YouTube’s “most replayed” heatmap. Turns out it runs onsampled view frequency arrays, client-sidenormalization, andSVG renderingstitched together withCubic Bézier splinesfor that smooth, snappy curve. Behind the scenes, playback gets logged with adifference array + prefix su.. read more

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@varbear shared a link, 2 weeks, 5 days ago

FAUN.dev()

How Github monopoly is destroying the open source ecosystem

Out of 238 student open source contributions over seven years, 237 landed onGitHub- even though they were told to look elsewhere. One short-lived GitHub IP block brought everything to a standstill. No commits. No reviews. Just silence. Turns out, a single platform holds the keys to a whole ecosystem.. read more

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@varbear shared a link, 2 weeks, 5 days ago

FAUN.dev()

A better way to limit Claude Code (and other coding agents!) access to Secrets

A new workflow dropsClaude Codeinto aBubblewrap-based sandbox, cutting Anthropic's client-side code out of the trust loop. Compared to spinning up Docker or juggling user accounts, Bubblewrap locks things down tighter - with less setup and cleaner OS-level walls around files, network access, and sec.. read more

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@laura_garcia shared a post, 2 weeks, 5 days ago

Software Developer, RELIANOID

🚨 Join RELIANOID at the Dallas Cybersecurity Conference 2026! 🚨

📍 Dallas, Texas | 🗓 January 22, 2026 Securing the Future starts here. We’re excited to be part of FutureCon Dallas, a high-impact event bringing together CISOs, C-suite leaders, and senior security professionals to tackle today’s most pressing cyber threats. 🔹 Why attend? Gain actionable insights in..

dallas_cybersecurity_conference_2026_relianoid

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.

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