Updates and recent posts about Gemini 3..

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@faun shared a link, 1 year, 1 month ago

FAUN.dev()

AWS Well-Architected Framework: Performance Efficiency Pillar

The AWS Well-Architected Framework's Performance Pillar champions nimble, cloud-native and serverless-first approaches. These tactics help systems pivot like a ballerina, dodge vendor lock-in, and slash costs. WithWardley Mapping, gain clarity. Prioritize flexibility. Ditch the shackles of hard-code.. read more

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@faun shared a link, 1 year, 1 month ago

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The Post-Developer Era

AI crafts 25% of Google's code while human developers orchestrate the symphony, molding and refining the AI's raw outputs.These AI tools "boost," they don't "replace," the seasoned artisans of code.Startups peddling the AI-only coding pipe dream tend to implode, tripped up by unanticipated hurdles.W.. read more

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@laura_garcia shared a post, 1 year, 1 month ago

Software Developer, RELIANOID

📍 VI Cybersecurity & Data Innovation Summit

🛡️ Madrid: The Hub of Cybersecurity Innovation in 2025 🗓️ April 29th | Madrid, Spain Over 300 cybersecurity professionals will gather to explore the future of digital protection — and RELIANOID will be there! What to expect: 🔹 Inspiring keynotes & expert panels on cybersecurity trends. 🔹 Live demos ..

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@anjali shared a link, 1 year, 1 month ago

Customer Marketing Manager, Last9

Distributed Network Monitoring: Guide to Getting Started & Troubleshooting

A practical guide to getting started with distributed network monitoring and solving common issues across modern, complex systems.

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@laura_garcia shared a post, 1 year, 1 month ago

Software Developer, RELIANOID

🌍💡 World Creativity and Innovation Day — April 21 💡🌍

At RELIANOID, creativity isn’t just a value — it’s the foundation of everything we do. In a world where technology evolves at lightning speed, standing still is not an option. That’s why our team constantly challenges the status quo, reimagining howApplication Delivery, Security, and High-Performanc..

World-Creativity-and-Innovation-Day RELIANOID

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@anjali shared a link, 1 year, 1 month ago

Customer Marketing Manager, Last9

A Comprehensive Guide to Monitoring Disk I/O on Linux

Learn how to monitor and optimize disk I/O performance on Linux with this comprehensive guide to better manage system resources.

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@faun shared a link, 1 year, 1 month ago

FAUN.dev()

Manage all your kubernetes port-forwards in one place with

Meet theRust-infused lifesaversweeping away Kubernetes port-forwarding mayhem. It tames connections by routing everything through one neat hub. TCP and UDP? Handled effortlessly. Picture a pod bridging UDP traffic over TCP with precision, serving up a swanky GUI or a no-nonsense terminal view. Add a.. read more

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@faun shared a link, 1 year, 1 month ago

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Creating a ClickHouse Cluster on Raspberry Pis

Craft a miniature powerhouse with threeRaspberry Pi 5s, each kitted out with NVMe drives. It's your ticket to an eye-opening, hands-on Kubernetes adventure. Start by installingK3s—the featherweight Kubernetes hero. Then, unleash theAltinity Operatorto deftly manage yourClickHousecluster. Say goodbye.. read more

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@faun shared a link, 1 year, 1 month ago

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VMware ups Tanzu's gen AI support, sheds Kubernetes dependence

VMware Tanzujust upped its game. It's infused with generative AI magic and has kicked Kubernetes to the curb. Now it taps into Anthropic'sModel Context Protocolfor a swift, almost cheeky, app creation rollercoaster. Ditch the config files—just throw code into the wild withSpring AI. Its data service.. read more

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@faun shared a link, 1 year, 1 month ago

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Understanding new GKE inference capabilities

Google Cloud Nextswings open the curtains on GKE’s latest tricks for inference. Imagine serving costs dropping by 30%, tail latency by 60%, and a whopping 40% leap in throughput. Talk about upgrades with attitude!.. read more

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.