Updates and recent posts about Gemini 3..

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@faun shared a link, 10 months, 2 weeks ago

FAUN.dev()

Switching to Claude Code + VSCode inside Docker

UsingClaude Code in Dockerthrough VSCode's Dev Containers isn't just about tech—it’s about keeping your AI in a safe little box where it can't wreak havoc on your setup. Picture this: no panic over unexpected system tantrums. Plus, say goodbye to absurd rate limits and hefty bills. A bonus, particul.. read more

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@laura_garcia shared a post, 10 months, 2 weeks ago

Software Developer, RELIANOID

🚨 New Ransomware Threat: BERT Targets VMware ESXi with Forced VM Shutdowns

A newly identified ransomware group called BERT is making headlines for its disruptive attack strategy: forcibly shutting down ESXi virtual machines before encryption — making recovery nearly impossible. Key highlights: 🔹 Terminates VMs before encryption to block disaster recovery 🔹 Targets ESXi, Li..

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@anjali shared a link, 10 months, 2 weeks ago

Customer Marketing Manager, Last9

How to Get Grafana Iframe Embedding Right

Know how to securely embed Grafana dashboards using iframes, covering auth, config, performance, and monitoring with Last9.

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@mashka shared a link, 10 months, 2 weeks ago

Paid Acquisition and Growth Marketing, xygeni

Are You Worried About Passing an Audit or Staying Compliant? Join Our Next SafeDev Talk

Hi everyone! If you’re working in AppSec, DevSecOps, or compliance and wondering how to prove your security controls work, this talk is for you.

We’re hosting a free, live SafeDev Talk on how to build a real audit-ready AppSec aligned with ISO, NIST, CRA, and more. No fluff, just practical insights from security leaders working across cloud, compliance, and engineering.

🗓️ July 23 | 🕒 17:00 CEST / 11:00 EDT

👉 Click here to register

Hope to see you there !

SafeDev Talk 7 2025 - Compliance (5) (1)

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@laura_garcia shared a post, 10 months, 2 weeks ago

Software Developer, RELIANOID

🎉 We're proud to be featured on 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴𝗙𝗮𝗰𝘁𝘀.𝗼𝗿𝗴!

Their latest article — “𝘚𝘪𝘮𝘱𝘭𝘪𝘧𝘺𝘪𝘯𝘨 𝘓𝘰𝘢𝘥 𝘉𝘢𝘭𝘢𝘯𝘤𝘪𝘯𝘨: 𝘛𝘩𝘦 𝘗𝘰𝘸𝘦𝘳 𝘰𝘧 𝘌𝘢𝘴𝘺 𝘓𝘰𝘢𝘥 𝘉𝘢𝘭𝘢𝘯𝘤𝘦𝘳𝘴 𝘪𝘯 𝘉𝘶𝘪𝘭𝘥𝘪𝘯𝘨 𝘢 𝘔𝘰𝘳𝘦 𝘙𝘦𝘭𝘪𝘢𝘣𝘭𝘦 𝘐𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦” — highlights how RELIANOID is making robust, secure, and scalable application delivery accessible to everyone. Big thanks to the team at InterestingFacts.org for recogniz..

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@anjali shared a link, 10 months, 2 weeks ago

Customer Marketing Manager, Last9

What is Log Loss and Cross-Entropy

Log loss and cross-entropy are core loss functions for classification tasks, measuring how well predicted probabilities match actual labels.

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@laura_garcia shared a post, 10 months, 2 weeks ago

Software Developer, RELIANOID

🚦 What Is a Load Balance Router?

A Load Balance Router distributes network traffic across multiple paths—like servers or internet links—to optimize performance and ensure high availability. 🔍 Key Features: Dynamic traffic distribution High availability & failover Scalability on demand Protocol support (BGP, OSPF) Health checks & mo..

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@anjali shared a link, 10 months, 2 weeks ago

Customer Marketing Manager, Last9

Cloud Log Management: A Developer's Guide to Scalable Observability

Centralized logging helps you debug faster, scale smarter, and cut through noise. Here's how to get it right from the start.

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@laura_garcia shared a post, 10 months, 3 weeks ago

Software Developer, RELIANOID

🌐 What is Border Gateway Protocol (BGP)?

BGP is the backbone of the internet — and it’s powering RELIANOID’s advanced routing strategy. In our latest blog, we cover: ✅ eBGP for datacenter & edge connectivity ✅ iBGP for intra-datacenter load balancing ✅ How to build global clusters without GTM, GSLB, or DNSLB ✅ Real-world BGP use cases & se..

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@anjali shared a link, 10 months, 3 weeks ago

Customer Marketing Manager, Last9

How to Get Logs from Docker Containers

Learn how to access, filter, and monitor Docker container logs, plus tips for structured logging, rotation, and production-ready setups.

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.