Updates and recent posts about Gemini 3..

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@faun shared a link, 11 months, 1 week ago

FAUN.dev()

Amazon EKS Pod Identity streamlines cross account access

Amazon EKS Pod Identityjust got an upgrade. Now you can tap into cross-account access usingIAM role chaining. Forget intricate setups and tiresome code changes. Drop in source and target IAM roles, and let EKS juggle temp credentials at runtime. It's innovation doing a happy dance... read more

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@faun shared a link, 11 months, 1 week ago

FAUN.dev()

How We Designed Model Runner and What’s Next

Docker's just unleashed a new gadget with Desktop4.40. Meet theModel Runner, your ticket to running AI models on your local machine. Imagine it as the Peacekeeper of container-host diplomacy. It’s powered byllama.cppand can ride GPUs like a pro skater. Oh, and it plays nice with theOpenAI API. Model.. read more

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@anjali shared a link, 11 months, 1 week ago

Customer Marketing Manager, Last9

11 Best Log Monitoring Tools for Developers in 2025

A technical comparison of 11 log monitoring tools developers use in 2025—features, trade-offs, pricing, and platform compatibility

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@laura_garcia shared a post, 11 months, 1 week ago

Software Developer, RELIANOID

🚨 Industrial Cybersecurity: Are You Ready?

📘 We’ve published a Technical Guide to ISA/IEC 62443 Standards – your 5-minute roadmap to securing Industrial Automation and Control Systems (IACS). 🔐 ISA/IEC 62443 is the gold standard for industrial cybersecurity. From zones and conduits to secure development lifecycles, it addresses the full spec..

Knowledge base ISAIEC-62443 Industrial Cybersecurity Standards RELIANOID

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@laura_garcia shared a post, 11 months, 1 week ago

Software Developer, RELIANOID

💸 The Cost of Cyber Insecurity

The average data breach in 2024 costs $4.45M — over $10M in finance and healthcare. Cyber incidents = market value loss, sales drop, and reputation damage. But there’s good news: 💡 Invest $500K in security → avoid $2M in losses = 300% ROI 🧠 Microsegmentation users saw 152% ROI, saved $2.9M, cut staf..

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@anjali shared a link, 11 months, 2 weeks ago

Customer Marketing Manager, Last9

Prometheus Logging Explained for Developers

Understand how Prometheus logging captures structured metrics, improves query performance, and scales observability in production systems.

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@anjali shared a link, 11 months, 2 weeks ago

Customer Marketing Manager, Last9

Docker Stop vs Kill: When to Use Each Command

docker stop gives containers time to shut down cleanly. docker kill doesn't—use it only when you need an immediate shutdown.

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@ambertalavera shared a post, 11 months, 2 weeks ago

Abto Software

Optimizing Research Efficiency with Custom Lab Inventory Management Software Development

#lab inv...

Discover how custom lab inventory management software enhances research efficiency with real-time tracking, RFID, cloud access, and AI-powered analytics. Learn from industry use cases and expert insights.

laboratory inventory management software

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@laura_garcia shared a post, 11 months, 2 weeks ago

Software Developer, RELIANOID

🚀 What an incredible few days at VIVA Technology!

We had the chance to connect withso many inspiring people, from innovative startups to global tech leaders. The energy, ideas, and conversations were truly next level. 📸 We’re excited to share some real moments from the event — because it’s not just about technology, it’s about the people behind it...

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@anjali shared a link, 11 months, 2 weeks ago

Customer Marketing Manager, Last9

Network Latency: Types, Causes, and Fixes

Learn what network latency means, what causes it, and how to fix slowdowns before they start affecting your users.

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.