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@anjali shared a link, 6 months, 2 weeks ago
Customer Marketing Manager, Last9

OpenTelemetry Metrics in Quarkus Explained

Understand how to enable, export, and extend OpenTelemetry metrics in your Quarkus application with practical examples.

otel_metrics_quarkus
News FAUN.dev() Team
@varbear shared an update, 6 months, 2 weeks ago
FAUN.dev()

Redis Fixes Critical Vulnerability - Update Your Instances Now

Redis

Redis addresses a critical remote code execution vulnerability, CVE-2025-49844, by releasing fixed versions and recommending best practices to protect instances.

Redis Fixes Critical Vulnerability - Update Your Instances Now
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@devopslinks shared an update, 6 months, 2 weeks ago
FAUN.dev()

Pulumi’s Neo Now Fixes Infra Policy Violations - Not Just Flags Them

Pulumi

AI-powered remediation rolls out across Pulumi Cloud, bringing automated fixes, approval workflows, and cross-cloud compliance without requiring full migration to Pulumi IaC.

Pulumi’s Neo Now Fixes Infra Policy Violations - Not Just Flags Them
News FAUN.dev() Team
@devopslinks shared an update, 6 months, 2 weeks ago
FAUN.dev()

AWS Unveils Fastnet Cable to Boost Transatlantic Cloud Connectivity

Amazon Web Services

AWS introduces Fastnet, a high-capacity transatlantic subsea cable, to enhance network resilience and support growing cloud and AI demands, operational by 2028.

AWS Unveils Fastnet Cable to Boost Transatlantic Cloud Connectivity
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@varbear shared an update, 6 months, 2 weeks ago
FAUN.dev()

GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents

GitHub Copilot

GitHub’s new Agent HQ unifies AI tools from OpenAI, Anthropic, and Google directly within GitHub. It offers centralized management for AI agents through mission control, custom agent setup, code quality tracking, and enterprise governance - all designed to streamline AI-driven development while keeping control and visibility in one place.

GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents
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@devopslinks shared an update, 6 months, 2 weeks ago
FAUN.dev()

IncusOS Launches: A Secure, API-Driven Linux for Servers and VMs

IncusOS

IncusOS, an immutable operating system for running Incus, debuts with atomic updates and boot security, based on a minimal Debian 13, managed via the Incus API.

IncusOS Launches: A Secure, API-Driven Linux for Servers and VMs
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@laura_garcia shared a post, 6 months, 2 weeks ago
Software Developer, RELIANOID

The Next Paradigm in High Availability System Design

🌟 We’re proud to share the latest article from our CEO, whose vision and deep technical insight continue to drive innovation at RELIANOID. In her new article — “From Single Processors to the Post-Quantum Era and Autonomous Resilience: The Next Paradigm in High Availability System Design” — she expl..

laura garcia medium article
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@kala shared an update, 6 months, 2 weeks ago
FAUN.dev()

Elon Musk's Grok 4 AI Gets Major Boost with 2M Token Context

Grok 4, a multimodal AI model, significantly enhances reasoning and non-reasoning task accuracy with a 2 million token context window, offering versatile applications and cost-effective API pricing.

Elon Musk's Grok 4 AI Gets Major Boost with 2M Token Context
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@kaptain shared an update, 6 months, 2 weeks ago
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ZEDEDA Launches Edge Kubernetes App Flows: AI-Ready, Zero-Trust, and Built for Harsh Edge Reality

ZEDEDA just released Edge Kubernetes App Flows, a full-stack, AI-friendly edge solution that simplifies deploying and managing Kubernetes apps at scale - even across thousands of edge clusters.

ZEDEDA Launches Edge Kubernetes App Flows: AI-Ready, Zero-Trust, and Built for Harsh Edge Reality
News FAUN.dev() Team
@kaptain shared an update, 6 months, 2 weeks ago
FAUN.dev()

Kubernetes + Postgres = Finally Sane? CloudNativePG and pgEdge Think So

Helm pgEdge

pgEdge integrates CloudNativePG to streamline Postgres deployment on Kubernetes with new container images and an updated Helm chart.

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.