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Podfox: World's First Container-Aware Browser

Podfoxswoops in to transform your browser into a Podman rootless container with a SOCKS proxy—no port forwarding monkey business required. It's like magic for your dev groove. Meanwhile,Homebrewgives container development a twist: it mounts user environments in read-only mode. This way, your favorit.. read more  

Podfox: World's First Container-Aware Browser
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@faun shared a link, 1 year ago
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v1.33: Prevent PersistentVolume Leaks When Deleting out of Order graduates to GA

Kubernetes v1.33finally pulls its socks up with storage cleanup. It now respects reclaim policies by wielding finalizers. No more leakingPersistentVolumes, even if you delete PVs like a mad hatter... read more  

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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID

Women in STEM

🚺✨ The rise of women in STEM is inspiring change, and nowhere is this more evident than in Cybersecurity. Despite making up only 24% of the workforce, women are increasingly leading the charge in securing our digital world. RELIANOID is proud to champion gender diversity in the cybersecurity sector...

Blog women and girls in STEM and Cybersecurity RELIANOID
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

CloudWatch vs OpenTelemetry: Choosing What Fits Your Stack

CloudWatch vs OpenTelemetry: Understand the trade-offs and choose the observability approach that fits your team's architecture and workflows.

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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

OpenTelemetry PHP: A Detailed Implementation Guide

Learn how to set up OpenTelemetry PHP to collect traces, metrics, and logs from your PHP apps and improve observability across your stack.

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@laura_garcia shared a post, 1 year ago
Software Developer, RELIANOID

Hack Space Con 2025

Mark your calendars for Hack Space Con 2025 – where cybersecurity meets space technology! Taking place from May 11-15 at the Kennedy Space Center & Radisson Resort at the Port in Cape Canaveral, this event unites cybersecurity professionals, ethical hackers, and space tech enthusiasts. Don’t miss th..

HACKSPACECON2025 florida RELIANOID.
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

The Complete Guide to Observing RabbitMQ

Learn how to monitor, troubleshoot, and improve RabbitMQ performance with the right metrics, tools, and observability practices.

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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Kubernetes Alerting That Won’t Burn You Out

A practical guide to Kubernetes alerting—cut the noise, catch what matters, and avoid those unnecessary 3AM wake-up calls.

kubernetes
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

Essential Python Monitoring Techniques You Need to Know

Learn the key techniques to monitor Python performance, catch bottlenecks early, and keep your applications fast and reliable at scale.

Python Logging Best Practices_ The Ultimate Guide
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9

The Complete Guide to Node.js Logging Libraries in 2025

Discover the most effective Node.js logging libraries, their implementation patterns, and how to choose the right one for your specific project needs.

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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.