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

Who’s Calling That API? A Detective Story from the Depths of EKS Networking

A production network got hammered by too many Auth0 token requests. The source? EKS workloads tucked behind a shared NAT Gateway. No easy trail. Engineers stitched it together usingVPC Flow Logs,pod-to-node maps, and some sharpIstio ServiceEntry logs. Even with Kubernetes CNI doing its NAT-obscuring.. read more  

Who’s Calling That API? A Detective Story from the Depths of EKS Networking
News FAUN.dev() Team
@varbear shared an update, 2 months, 2 weeks ago
FAUN.dev()

Reo.Dev Secures $4M to Boost AI Platform for Developer Companies

HubSpot Salesforce Reo.Dev

Reo.Dev has raised $4 million in seed funding, led by Heavybit, to enhance its AI-powered go-to-market platform for developer-first companies and expand its U.S. presence.

Reo.Dev Secures $4M to Boost AI Platform for Developer Companies
News FAUN.dev() Team
@kala shared an update, 2 months, 2 weeks ago
FAUN.dev()

Anthropic's Claude Sonnet 4.5 AI Model Shows Self-Awareness in Tests

Anthropic's AI model, Claude Sonnet 4.5, exhibits self-awareness by recognizing test scenarios, complicating safety evaluations and raising concerns about potential strategic behavior, similar to observations in OpenAI models.

Anthropic's Claude Sonnet 4.5 AI Model Shows Self-Awareness in Tests
News FAUN.dev() Team
@varbear shared an update, 2 months, 2 weeks ago
FAUN.dev()

Google Expands AI Vibe-Coding App Opal to 15 More Countries

Opal

Google expands its AI vibe-coding app Opal to 15 more countries, enhancing global access to no-code web app creation with improved debugging and performance.

Google Expands AI Vibe-Coding App Opal to 15 More Countries
News FAUN.dev() Team
@kaptain shared an update, 2 months, 2 weeks ago
FAUN.dev()

Azure Outage: Kubernetes Crash Hits Teams, Minecraft in EMEA Regions

Kubernetes

A Kubernetes crash caused a major Azure outage, impacting Teams and Minecraft in EMEA, with Microsoft working to restore services.

Azure Outage: Kubernetes Crash Hits Teams, Minecraft in EMEA Regions
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@anjali shared a link, 2 months, 2 weeks ago
Customer Marketing Manager, Last9

15 PHP APM Tools Worth Using in 2025

Compare 15 PHP APM tools for 2025 — from open-source options to managed platforms — and find what fits your performance needs.

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@viktoriiagolovtseva shared a post, 2 months, 2 weeks ago

A Hands-On Guide To Jira Service Management [2025]

Be it a small, mid-sized, or large business — improving the customer journey can improve customer satisfaction and boost revenue byup to 15%. JIRA by Atlassian provides a centralized platform where your customers can report bugs, reach out for assistance, explore your knowledge base, and submit requ..

Screenshot 2025-10-10 at 13.44.54
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@laura_garcia shared a post, 2 months, 2 weeks ago
Software Developer, RELIANOID

🎉 We’ve just hit 1,600+ followers on LinkedIn! 🎉

A big thank you to everyone who’s part of our growing community of professionals passionate about Application Delivery, Load Balancing, and Cybersecurity. 💪 If you haven’t joined us yet, follow us on LinkedIn 👉 https://www.linkedin.com/company/relianoid/..

1600 followers RELIANOID
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@viktoriiagolovtseva shared a post, 2 months, 2 weeks ago

How to Use an Email Campaign Template in Jira to Launch Campaigns Faster

Great email campaigns run on clockwork processes. And Jira templates can serve as a backbone for creating a smooth workflow. Using an email campaign template will speed up and streamline campaign preparation, enabling you to kick-start the process in mere seconds. Another benefit is that your team will gain a ready action plan with clearly defined stages and dependencies. With a well-documented process and better-organized teamwork, you will be able to prepare email campaigns more quickly and efficiently.

In this blog post, we provide you with customizable email campaign templates and explain how to use them in Jira.

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

How OpenTelemetry Auto-Instrumentation Works

OpenTelemetry auto-instrumentation uses runtime hooks and agents to collect telemetry without code changes—covering most modern stacks.

otel_auto_instrumentation
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.