ContentPosts from @bennetvjrxo..
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@idjuric660 shared a post, 1 week, 4 days ago
Technical Content Writer, Mailtrap

SMTP vs Email API Explained & Compared: Find Out What Method Developers Should Use

A vinyl record and Spotify both get your favorite jams playing, but the way they do it couldn’t be more different. The same applies toSMTPandemail APIwhen it comes to sending emails. SMTP is the underlying protocol that has powered email for decades, while an API is an interface designed to interact..

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@viktoriia-yarosh shared a post, 1 week, 4 days ago
Freshcode

Functional programming languages: a blazingly fast face-off

Learn how Clojure, Elixir, Haskell, and Scala handle complex software challenges. See practical uses and find which language suits your project best.

functional-programming-languages (1)
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@laura_garcia shared a post, 1 week, 5 days 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, 1 week, 6 days 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, 1 week, 6 days 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, 1 week, 6 days 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, 2 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, 2 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.

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@angie shared a post, 2 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