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@laura_garcia shared a post, 7 months ago
Software Developer, RELIANOID

🌍 RELIANOID at DevOpsDays Almaty 2025 | 24 October | Almaty, Kazakhstan

DevOpsDays — a global series of technical conferences uniting software development and IT operations professionals — is coming to Almaty on 24 October 2025! 🎉 This event will gather local and international experts, engineers, and businesses to share insights, drive collaboration, and grow the DevOp..

devopsdays almaty event
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@laura_garcia shared a post, 7 months, 1 week ago
Software Developer, RELIANOID

🚨 Cyberattack on Qantas exposed growing threats to aviation

A few months ago, up to 6 million customers were affected through a third-party data breach — reportedly linked to Scattered Spider, a group notorious for social engineering and supply chain attacks. 🔍 The takeaway? The weakest link often lies outside the organization. ✈️ At RELIANOID, we helped air..

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@devopslinks shared an update, 7 months, 1 week ago
FAUN.dev()

AWS Outage: A Single Cloud Region Shouldn’t Take Down the World. But It Did.

Amazon Web Services

A major AWS outage disrupted high-profile services like Amazon, Snapchat, and Disney+, affecting over 70 AWS services and causing widespread operational issues.

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@varbear shared a link, 7 months, 1 week ago
FAUN.dev()

GitHub MCP Registry: The fastest way to discover AI tools

GitHub rolled out theMCP Registry—a hub for findingModel Context Protocol (MCP) serverswithout hunting through scattered corners of the internet. No more siloed lists or mystery URLs. It's all in one place now. The goal? Cleaner access to AI agent tools, plus a path towardself-publishing, thanks to .. read more  

GitHub MCP Registry: The fastest way to discover AI tools
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@varbear shared a link, 7 months, 1 week ago
FAUN.dev()

Nine HTTP Edge Cases Every API Developer Should Understand

Last February, CVE-2024-26141 punched a nasty hole inRack's Range header parsing. All versions since 1.3.0 are exposed. The bug let attackers blow up memory usage and responses—classic denial-of-service—just by crafting bloated Range headers. The trick? Custom file download handlers. They skip the u.. read more  

Nine HTTP Edge Cases Every API Developer Should Understand
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@varbear shared a link, 7 months, 1 week ago
FAUN.dev()

A stateful browser agent using self-healing DOM maps

A stateful browser agent using self-healing DOM maps is now available. Users describe tasks, Agent4 performs them, creates reusable workflows from interactions, and executes instantly on subsequent requests. Under the hood, it checks for known maps in a vector DB, patches them if needed, and self-he.. read more  

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@varbear shared a link, 7 months, 1 week ago
FAUN.dev()

Supply Chain Risk in VSCode Extension Marketplaces

Wiz dug up 550+ leaked secrets buried in 500+ public VSCode extensions—including 130+ live access tokens forVSCode MarketplaceandOpenVSX. That’s a wide-open door to supply chain attacks through auto-updates. Microsoft reacted fast: dumped the breached tokens, rolled outpre-publish secret scanning, a.. read more  

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@varbear shared a link, 7 months, 1 week ago
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Foreign hackers breached a US nuclear weapons plant via SharePoint flaws

UnpatchedSharePoint flaws(CVE-2025-53770, CVE-2025-49704) cracked open theKansas City National Security Campusin July. IT systems tied to 80% of U.S. non-nuclear weapons parts got compromised. Attackers—likely state-backed, Russian or Chinese—moved fast, hitting the zero-day RCE and spoofing bugs ju.. read more  

Foreign hackers breached a US nuclear weapons plant via SharePoint flaws
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@varbear shared a link, 7 months, 1 week ago
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Python 3.14 Is Here. How Fast Is It?

Python 3.14 lands with a ~27% speed jump over 3.13, keeping the post-3.11 momentum alive. The big news: the newfree-threading interpreter—no GIL—now hits up to3.1x fasterthan regular CPython in multi-threaded, CPU-heavy benchmarks. That’s up from 2.2x in 3.13. Less shiny: theJIT interpreterstill can.. read more  

Python 3.14 Is Here. How Fast Is It?
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@kala shared a link, 7 months, 1 week ago
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Sora 2 in Azure AI Foundry: Create videos with responsible AI

OpenAI’sSora 2just dropped intopublic previewvia theAzure AI FoundryAPI. It’s a multimodal video model aimed at serious use—enterprise safety, API-ready, built for scale. Azure didn’t stop there. It bundled inGPT-image-1,Flux 1.1, andKontext Pro, pulling together a full-gen stack under one roof... read more  

Sora 2 in Azure AI Foundry: Create videos with responsible AI
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.