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@devopslinks shared an update, 2 months, 1 week ago
FAUN.dev()

Linux Kernel 6.18 RC1 Released: Public Testing Begins

GNU/Linux The Linux Kernel Rust

The Linux kernel 6.18 RC1 has been released for public testing, featuring enhancements in Btrfs, LoongArch KVM, FreeBSD’s Bhyve hypervisor, and AMD's Secure AVIC, with the final release expected by late 2025.

Linux Kernel 6.18 RC1 Released: Public Testing Begins
News FAUN.dev() Team
@varbear shared an update, 2 months, 1 week ago
FAUN.dev()

FSF Launches Librephone Project to Free Android from Proprietary Code

The Free Software Foundation launched the Librephone project to replace proprietary Android components with open-source alternatives, aiming for complete software freedom.

FSF Launches Librephone Project to Free Android from Proprietary Code
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@laura_garcia shared a post, 2 months, 1 week ago
Software Developer, RELIANOID

Unveiling the Power of Network Load Balancers

We’re thrilled to be featured in “Unveiling the Power of Network Load Balancers” by HENOF 📰 The article highlights how RELIANOID Load Balancer is redefining reliability, scalability, and security in modern data centers. 🔗 Read it here: https://www.relianoid.com/about-us/relianoid-related-articles/ #..

Henof article on RELIANOID
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@viktoriiagolovtseva shared a post, 2 months, 1 week ago

Task Management in Jira: Stories vs. Tasks in Agile Workflows

Agile frameworks like Scrum provide flexibility in structuring workflows, which can sometimes lead to confusion, especially when using project management tools such as Jira.

This is especially true for tasks and story issue types, as both exist at the same hierarchy level, and teams often struggle to determine when to use one over the other.

Although these issue types share the same hierarchy in Jira, they are intended for different purposes. By understanding their roles, teams can better organize their work, improve their planning, and enhance their reporting.

In this article, I’ll explore the purpose of tasks and stories, how they can work together effectively, and best practices for managing them in Jira.

Screenshot 2025-10-15 at 14.46.13
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@viktoriiagolovtseva shared a post, 2 months, 1 week ago

How to Link Issues in Jira Manually and Automatically

Connecting issues in Jira serves many purposes. For instance, it allows you to track dependencies between tasks, identify blockers, and visualize these blockers in a timeline view. As a result, you can better organize your team’s work, enhance planning, and improve collaboration.

In this blog post, I explain how to link issues in Jira using different methods. You can link issues automatically or manually from a Jira board or issue view. Additionally, we give you useful tips on how to make working with linked issues more convenient and efficient.

Screenshot 2025-10-15 at 11.56.06
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@shurup shared a post, 2 months, 1 week ago
@palark

New features introduced in Kubernetes 1.34

Kubernetes

Recently, the latest Kubernetes version, v1.34, was released with 13 new alpha features on board. They include: - KYAML, a new dialect of YAML for Kubernetes manifests, which is still compatible with all existing tooling; - asynchronous API calls to kube-apiserver during scheduling; - various enhanc..

kubernetes 1.34 release
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@laura_garcia shared a post, 2 months, 1 week ago
Software Developer, RELIANOID

🚀 Load Balancing and High Availability of Skype for Business with RELIANOID

Unified communication platforms like Skype for Business play a critical role in keeping teams connected through instant messaging, voice, and video — but maintaining high performance and availability is key. That’s where RELIANOID ADC comes in. 💪 In our latest article, we explain how to optimize Sky..

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@anjali shared a link, 2 months, 1 week ago
Customer Marketing Manager, Last9

Choosing the Right APM for Go: 11 Tools Worth Your Time

Explore 11 APM tools built for Go—from lightweight open-source options to enterprise-grade platforms that simplify debugging.

go
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@faun shared a link, 2 months, 2 weeks ago
FAUN.dev()

Inside Husky’s query engine: Real-time access to 100 trillion events

SteamPipe just gutted its real-time storage engine and rebuilt it inRust. Expect faster performance and better scaling. Now runs oncolumnar storage, ships withvectorized queries, and rolls anobject store-backed WAL. Serious firepower for time series data. System shift:Another sign that high-throughp.. read more  

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@faun shared a link, 2 months, 2 weeks ago
FAUN.dev()

walrus: ingesting data at memory speeds

Walrusis a lock-free, single-nodeWrite Ahead Log in Rustthat rips through a million ops/sec and moves 1 GB/s of write bandwidth - on bare-metal, nothing fancy. It leans on mmap-backed sparse files, atomic counters, and zero-copy reads to get there. Each topic gets its own line of 10MB memory-mapped .. read more  

walrus: ingesting data at memory speeds
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.