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@laura_garcia shared a post, 8 months, 2 weeks ago
Software Developer, RELIANOID

🎮 gamescom 2025 | Aug 20–24, Cologne

The world’s biggest gaming event is back—AAA reveals, indie gems, esports, VR/AR & more. RELIANOID powers secure, scalable gaming back-ends for real-time, high-volume play. Let’s connect in Cologne! #gamescom2025#GameDev#RELIANOID#Esports https://www.relianoid.com/about-us/events/gamescom-2025/..

evento gamescom cologne RELIANOID august
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@laura_garcia shared a post, 8 months, 2 weeks ago
Software Developer, RELIANOID

🚨 New SharePoint vulnerabilities under active attack

Microsoft has issued an alert for 4 serious CVEs affecting on-premises SharePoint servers. In our latest blog post, we explain the risks and how RELIANOID helps mitigate them with advanced reverse proxy, WAF, and security automation. 💡 Plus: RELIANOID is now available on Azure Marketplace for instan..

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@laura_garcia shared a post, 8 months, 3 weeks ago
Software Developer, RELIANOID

🔐 New Technical Guide: ISA/IEC 62443 Industrial Cybersecurity Standards

Industrial Automation and Control Systems (IACS) power critical sectors — from energy and manufacturing to water treatment and transportation. But protecting them requires more than just traditional IT security. Our latest 5-minute read breaks down the ISA/IEC 62443 framework — the globally recogniz..

Knowledge base ISAIEC-62443 Industrial Cybersecurity Standards RELIANOID
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@mmk4mmk_simplifies shared a link, 8 months, 3 weeks ago

IAM Explained by the Avengers — in Comic Style

What if your superheroes had no boundaries? Chaos.

That’s what happens to your engineering team without Identity and Access Management (IAM).

From roles and policies to short-lived powers — here’s how we turn a messy squad into a well-coordinated hero team.

🎥 Watch the Video → https://youtu.be/GJaBXQXJ35I

📖 Full Comic + Detailed Breakdown →https://medium.com/faun/iam-explained-by-the-avengers-39a3fe4265e5
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💡 In the full article:

What IAM actually does (in superhero terms)

Real-world mapping to AWS, GCP, and Kubernetes RBAC

How short-lived powers reduce security risk

Practical audit checklist for your own team

IAM Explained by Avengers
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@laura_garcia shared a post, 8 months, 3 weeks ago
Software Developer, RELIANOID

✈ How to Load Balance Navitaire for Maximum Performance

Navitaire, by Collins Aerospace, powers reservations, revenue, and departure control for airlines worldwide. When uptime and speed are non-negotiable, RELIANOID delivers: 🔹 Load Balancing – Distribute Navitaire services like New Skies and GoNow across multiple servers. 🔹 High Availability – Active-a..

Howto Load Balance Navitaire
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@faun shared a link, 8 months, 3 weeks ago
FAUN.dev()

The Future is NOT Self-Hosted

A dev spun up a full self-hosted cloud on a refit workstation—Immich,Calibre-web,Audiobookshelf, andJellyfinall running smoothly onProxmox,Docker, andTailscale. Custom NAS, the works. Cool demo. But it hits a wall: self-hosting’s fine for hobbyists, not scaling. One person can’t out-infra Google. .. read more  

The Future is NOT Self-Hosted
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@faun shared a link, 8 months, 3 weeks ago
FAUN.dev()

Vibe code is legacy code

"Vibe coding"—Karpathy's label for cranking out AI-assisted code at warp speed—lets devs skip the deep dive. It works for quick hacks and throwaway prototypes. But ship that stuff to prod? Cue thetechnical debt... read more  

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@faun shared a link, 8 months, 3 weeks ago
FAUN.dev()

4 Ways I am Encouraging My 4 Year Old Child to Help Learn Coding and Use Computer

GCompris, CodeMonkey, Microbit, and Raspberry Pi kits aren’t just toys. They’re a full tech ladder for tiny humans. Start with GCompris to get little fingers clicking. Add CodeMonkey for block logic basics. Then toss in Microbit or an Elecrow kit, and suddenly code makes LEDs blink and buzzers buzz... read more  

4 Ways I am Encouraging My 4 Year Old Child to Help Learn Coding and Use Computer
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@faun shared a link, 8 months, 3 weeks ago
FAUN.dev()

MCP Security Issues Threatening AI Infrastructure

Docker just dropped theMCP ToolkitandMCP Gateway, tightening up the Model Context Protocol with serious armor. We're talking six major server-side holes patched—OAuth RCE, command injection, leaked creds—plugged. How? With container-wrapped isolation, real-time network filters, first-class OAuth ha.. read more  

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@faun shared a link, 8 months, 3 weeks ago
FAUN.dev()

Next Gen Data Processing at Massive Scale At Pinterest With Moka

Pinterest kicked its creaky Hadoop system to the curb and embraced Moka, a shiny Kubernetes +*AWS EKS platform, to crank up scalability and security.* Graviton ARM EC2 instances, Spark Operator, and Apache YuniKorn unleashed a performance beast and sliced costs.They wrestled with memory monsters and.. read more  

GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.