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@laura_garcia shared a post, 10 months, 3 weeks ago
Software Developer, RELIANOID

🎯 Black Hat USA 2025 is approaching!

📅 August 2–7, 2025 | 📍 Mandalay Bay, Las Vegas We’re excited to join thousands of cybersecurity professionals for six days of cutting-edge Trainings, Briefings, and live tool demos. RELIANOID will be there, showcasing our latest high-performance load balancing and proxy solutions—built for the most ..

Evento Black Hat Las Vegas August 2025 RELIANOID
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@anjali shared a link, 10 months, 3 weeks ago
Customer Marketing Manager, Last9

Auto-Instrument Your Applications Using OTel Injector

Automatically instrument your apps on Linux with the OTel Injector, no code changes, minimal setup, and support for Java, Node.js, Python, and .NET.

Otel_injector
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@laura_garcia shared a post, 10 months, 3 weeks ago
Software Developer, RELIANOID

🎉 In case you missed it!

We’re still grateful for the amazing article published earlier this year on Lockerz.com: 🛡️ “Strengthening Your Defense: A Guide to Web Application Security and the Role of RELIANOID Load Balancer” It’s a great read on why web application security matters—and how RELIANOID Load Balancer helps organi..

Lockerz Article about RELIANOID
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@angie shared a post, 10 months, 3 weeks ago
Product Marketing Analyst, manageengine

Conversational Observability: Your applications are ready to talk back (in real-time!)

From passive telemetry to interactive intelligence

The gist: Most observability systems are silent partners. They stream data, light up dashboards, and trigger alerts—but they don't interact. We're proposing something radically new: Conversational Observability. Imagine applications that don't just emit signals, but actively respond to your questions, offer real-time feedback, and expose their internal state on demand through self-description APIs.

Think about it: what if you could ask your app, "Why did you crash?", and get a structured, intelligent, and introspective answer?

In this deep dive, we'll cover:

Why this concept is crucial in the age of AI, ephemeral infrastructure, and auto-remediation.

What it looks like to implement conversational observability today.

The evolving role of modern APM platforms like ManageEngine Applications Manager in making this paradigm a reality.

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@laura_garcia shared a post, 10 months, 3 weeks ago
Software Developer, RELIANOID

🌍 Cybersecurity & Sustainability: Building a Responsible Industrial Future

At RELIANOID, we believe a greener industry must also be a safer industry. 🔐 A new report from the Industrial Cybersecurity Center (CCI) highlights a powerful trend: aligning cybersecurity with ESG and sustainability goals is becoming essential for modern industrial resilience. From secure OT enviro..

Blog Cybersecurity and Sustainability A Joint Path Toward Responsible Industry
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@anjali shared a link, 10 months, 4 weeks ago
Customer Marketing Manager, Last9

How Prometheus 3.0 Fixes Resource Attributes for OTel Metrics

Prometheus 3.0 supports resource attribute promotion for OpenTelemetry metrics, enabling direct labeling without `target_info` joins.

Prometheus_resource_attributes
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@angie shared a post, 10 months, 4 weeks ago
Product Marketing Analyst, manageengine

The future of observability is developer-native: A deep dive into the next wave of diagnostics

"The systems we build are becoming too complex to merely monitor. We need systems that explain themselves."

Once upon a time, just monitoring your systems was enough. You had a few servers, maybe Nagios or Zabbix, some uptime checks, and that was it.

Then everything changed. The cloud arrived, followed by containers, microservices, and serverless. Suddenly, your "app" wasn't just a server; it was dozens of services, scattered across data centers, ephemeral environments, third-party APIs, and edge locations.

Monitoring just doesn't cut it anymore.

Today, we're firmly in the era of observability.

The future of observability is developer-native: A deep dive into the next wave of diagnostics
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@eon01 shared a post, 10 months, 4 weeks ago
Founder, FAUN.dev

Halfway Through 2025: These Are the Open Source Tools Everyone’s Talking About

2025 isn’t slowing down. From AI agents and lightweight frameworks to infrastructure that actually scales, open source is where the real innovation’s happening.

We’ve combed through FAUN.dev newsletters and community picks to bring you the standout projects developers are loving this year.

Every click you've made is a vote for what's hot and what's not in the open source world. We've analyzed thousands of interactions to identify the tools that have truly captured the attention and imagination of the FAUN.dev community.

If you're curious what's making waves in real dev workflows, this list is your shortcut.

The Hottest Open Source Projects
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@faun shared a link, 10 months, 4 weeks ago
FAUN.dev()

Policy Zones: How Meta enforces purpose limitation at scale in batch processing systems

Meta’s Privacy Aware Infrastructure (PAI) slamsGovernable Data Annotations (GDAs)at runtime. It parses SQL across itsexabyte-scalewarehouse and blocks any flow that floutspurpose-usepolicies. It welds Unified Programming Model (UPM), Policy Evaluation Service (PES), Warehouse Permission Service (WP.. read more  

Policy Zones: How Meta enforces purpose limitation at scale in batch processing systems
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@faun shared a link, 10 months, 4 weeks ago
FAUN.dev()

To be a better programmer, write little proofs in your head

Developer sketchesproofsmid-code. This drives first-run correctness by leaning onmonotonicity,immutability,invariants, andpre/postconditions. They carve code into atomic steps. They erectfirewallsto contain impact zones. They wield induction for recursive logic—proof-affinity blooms. They drill form.. read more  

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.