Join us

ContentUpdates and recent posts about Gemini 3..
Link
@faun shared a link, 11 months ago
FAUN.dev()

Image Compatibility In Cloud Native Environments

Kubernetes Node Feature Discoverynow gives containers a say in the conversation. They can outline and validate OS and hardware needs. Smart scheduling for demanding apps just got a boost... read more  

Image Compatibility In Cloud Native Environments
Link
@faun shared a link, 11 months ago
FAUN.dev()

Inspecting Service Traffic with mirrord dump

Withmirrord’s latest trick, monitoring incoming TCP traffic in Kubernetes feels like wielding abuilt-in tcpdump. But there’s a twist: it zeroes in on essential resources without eBPF or sidecars. Developers can filter and capture traffic in their sessions, offering a swift solution for debugging in .. read more  

Inspecting Service Traffic with mirrord dump
Link
@faun shared a link, 11 months ago
FAUN.dev()

Kubernetes NodeRestriction Flaw Lets Nodes Bypass Resource Authorization

Kuberneteshas tripped over a major flaw (CVE-2025-4563). Rogue nodes can skip past auth checks, opening a door for privilege escalation. But don’t sweat it too much; this only bites if you've enabledDynamicResourceAllocationand run static pods.AKSusers, you're safe. But only if your setup isn't a me.. read more  

Link
@faun shared a link, 11 months ago
FAUN.dev()

CNCF saves $1 million annually by migrating to OCI

Oracle's tossing$3M a yearin Ampere Arm-based credits into the mix for CNCF's cloud-native projects, supercharging them like they just downed a can of energy drink. Over at the Linux Foundation Education, they're watching their cloud bills shrink by $1M annually. Meanwhile, OCI Kubernetes Engine sho.. read more  

Link
@faun shared a link, 11 months ago
FAUN.dev()

AWS Introduces Extended Threat Detection for EKS via GuardDuty

AWSGuardDutycranks up EKS security using slickeBPFagents. These agents snag threats like reverse shells and crypto mining directly at the container level. No fuss with user-deployed agents needed. GuardDuty shrugs off traditional security headaches, nudging cloud giants like AWS toward smarter, hass.. read more  

AWS Introduces Extended Threat Detection for EKS via GuardDuty
Link
@faun shared a link, 11 months ago
FAUN.dev()

What's New in ArcGIS Enterprise 11.5 on Kubernetes

ArcGIS Enterprise 11.5onKubernetesjust lifted its game. It's rolling out support forStreetMap Premium, cranking up the speed with GPU nodes forNotebooks, and cozying up to the cloud viaVMware Tanzu. Expect faster GIS ops. There's also a shiny new file management UI for Notebooks, custom-built for yo.. read more  

What's New in ArcGIS Enterprise 11.5 on Kubernetes
Link
@faun shared a link, 11 months ago
FAUN.dev()

Hackers Exploit Misconfigured Docker APIs to Mine Cryptocurrency via Tor Network

Wiz Researchdives headfirst into the murky depths of150,000 cloud accounts. They unearth glaring vulnerabilities, pointing fingers at major lapses in data exposure and slipshod access controls... read more  

Hackers Exploit Misconfigured Docker APIs to Mine Cryptocurrency via Tor Network
Link
@faun shared a link, 11 months ago
FAUN.dev()

Streamlining application deployment on Kubernetes at RBC Capital Markets: A journey with FluxCD

RBC FinSec Incubatorlaunched with Rogers Cybersecure Catalyst to support fintech and cybersecurity startups in meeting financial sector needs... read more  

Link
@faun shared a link, 11 months ago
FAUN.dev()

Containerizing AI: Hands-On Guide to Deploying ML Models With Docker and Kubernetes

Containerization bundles ML model code and dependencies for reproducibility and portability, easing scaling and isolating environments. Kubernetes automates management for seamless deployments and scalability, guaranteeing consistent performance... read more  

Link
@faun shared a link, 11 months ago
FAUN.dev()

I use these niche Docker containers to boost my productivity

Tududicorrals tasks and projects with tags, colors, and inboxes inside a nimble, containerized UI.Docmostmimics Notion with privacy-first spaces, block editing, and file embeds—no cloud lock-in.Syncthingsyncs files peer-to-peer, ditching cloud dependencies while keeping data always current.Grocyorch.. 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.