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@kala shared a link, 3 months, 3 weeks ago
FAUN.dev()

Everything to know about Google Gemini’s most recent AI updates

Google jammed a full no-code AI workshop into Gemini. The browser now bakes inOpal, a drag-and-drop app builder with a shiny newvisual editor. You can chain prompts, preview apps, and feed it text, voice, or images, without touching code. They also dropped theGemini 3 Flash model, built for dual rea.. read more  

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@kala shared a link, 3 months, 3 weeks ago
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AI agents are starting to eat SaaS

AI coding agents are eating the lunch of low-complexity SaaS. Teams with a bit of dev muscle are skipping subscription logins and spinning up dashboards, pipelines, even decks, using Claude, Gemini, whoever’s fastest that day. Build vs. buy? Tilting back toward build. The kicker: build now takes min.. read more  

AI agents are starting to eat SaaS
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@devopslinks shared a link, 3 months, 3 weeks ago
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From Static Rate Limiting to Adaptive Traffic Management in Airbnb’s Key-Value Store

Airbnb just rewired Mussel, its key-value store, with a smarter, layered QoS system. Out go the rigid QPS caps. In comeresource-aware rate control,criticality-based load shedding, andreal-time hot-key mitigation. Dispatchers now speak the language of backend cost -rows, bytes, latency - not just raw.. read more  

From Static Rate Limiting to Adaptive Traffic Management in Airbnb’s Key-Value Store
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@devopslinks shared a link, 3 months, 3 weeks ago
FAUN.dev()

Agent-Driven SRE Investigations: A Practical Deep Dive into Multi-Agent Incident Response

A sandboxed setup dropped multiple Claude-powered agents into Docker containers to run a full incident response drill. Each agent played a role: probing Kubernetes clusters, sniffing out root causes, and shipping remediation PRs straight to GitHub. Out of 7 test incidents, they nailed the diagnoses .. read more  

Agent-Driven SRE Investigations: A Practical Deep Dive into Multi-Agent Incident Response
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@devopslinks shared a link, 3 months, 3 weeks ago
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async dns

A developer went digging for safer async DNS incurlafterpthread_cancelstarted breaking things. Threadless, callback-free options took the spotlight.OpenBSD’sasrquickly stood out, clean event loop integration, no threads, no drama. Beat outc-areson portability and design clarity... read more  

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@devopslinks shared a link, 3 months, 3 weeks ago
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How We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required.

Refinery 3.0 cuts CPU by 70% and slashes RAM by 60%. The trick: selective field extraction from serialized spans. No full deserialization. Fewer heap allocations. Way less waste. It also recycles buffers, handles metrics smarter, and is gearing up to parallelize its core decision loop... read more  

How We Saved 70% of CPU and 60% of Memory in Refinery’s Go Code, No Rust Required.
News FAUN.dev() Team
@kaptain shared an update, 3 months, 3 weeks ago
FAUN.dev()

Docker Brings Production-Grade Hardened Images to Developers at No Cost

Docker

Docker has launched Docker Hardened Images, a secure and minimal set of production-ready images. These images are now freely available to developers.

Docker Brings Production-Grade Hardened Images to Developers at No Cost
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@anjali shared a link, 3 months, 3 weeks ago
Customer Marketing Manager, Last9

OTel Updates: OpenTelemetry Deprecates Zipkin Exporters

OpenTelemetry deprecates Zipkin exporters in favor of native OTLP support. Migration paths and timeline through December 2026.

depreciating_zipkin
News FAUN.dev() Team
@kaptain shared an update, 3 months, 3 weeks ago
FAUN.dev()

Argo CD 3.2.2 Improves Secret Management, Retry Safety, and Auth Checks

Kubernetes Argo CD

ArgoCD v3.2.2 has been released, featuring a new addition, two enhancements, and a bug fix. This update aims to improve the overall functionality and reliability of the platform.

Argo CD 3.2.2 Improves Secret Management, Retry Safety, and Auth Checks
News FAUN.dev() Team
@devopslinks shared an update, 3 months, 3 weeks ago
FAUN.dev()

Rust Confirmed for Linux Kernel: Experiment Concludes Successfully

Rust GNU/Linux The Linux Kernel UNIX

The Rust experiment in the Linux kernel concludes, confirming its suitability and permanence in kernel development, with Rust now used in production and supported by major Linux distributions.

Rust Confirmed for Linux Kernel: Experiment Concludes Successfully
Winston AI is an advanced, all-in-one content verification platform designed to deliver the most accurate AI content detection available today. Recognized as the best AI detector by educators, students, publishers, journalists, researchers, and businesses worldwide, Winston AI helps users confidently verify whether content is written by a human, generated by AI, or a combination of both.

Built for academic, professional, and enterprise use, Winston AI addresses the growing need for transparency and authenticity in an AI-driven world. Whether reviewing essays, research papers, articles, marketing content, or digital publications, Winston AI provides fast, reliable, and explainable results that users can trust.

At the core of Winston AI is a powerful AI content checker capable of identifying text generated by ChatGPT, Claude, Google Gemini, and all known AI models. Winston AI continuously updates its detection systems to keep pace with the rapidly evolving AI landscape, ensuring consistent accuracy even as new models and writing techniques emerge.

Winston AI analyzes content at a deep linguistic level, evaluating structure, predictability, and stylistic patterns to distinguish AI-generated text from human writing. This advanced approach reduces false positives and delivers clear probability scores, helping users make informed decisions without uncertainty.

Winston AI goes beyond basic AI detection by offering a comprehensive suite of tools designed to support content authenticity, credibility, and integrity across multiple formats.

AI Detector
Accurately identifies AI-generated, human-written, and mixed text with detailed confidence scores and sentence-level insights.

Plagiarism Checker
Detects copied or unoriginal content across academic and professional sources, supporting originality and ethical content creation.

Fact Checker Tool
Helps verify claims and statements within content, reducing misinformation and improving accuracy for research, journalism, and publishing.

AI Image & Deepfake Detector
Analyzes images to determine whether they were generated or manipulated by AI, helping users identify synthetic visuals and deepfake content.

Writing Feedback
Provides actionable feedback on clarity, structure, and quality, supporting students, educators, and professionals in improving written work.

HUMN-1 Website Certification
Allows websites to display a trust signal certifying human-verified content, reinforcing transparency and credibility with audiences and search engines.

Together, these tools make Winston AI a complete solution for verifying authenticity, accuracy, originality, and credibility across text, images, and websites.