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ContentUpdates and recent posts about Gemini 3..
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@laura_garcia shared a post, 11 months, 3 weeks ago
Software Developer, RELIANOID

🛑 End-of-life = No patches. No protection. High risk.

🚨 FBI Alert: New Variant of TheMoon Malware Targets End-of-Life Routers Is your infrastructure protected? The FBI has issued a PSA warning about TheMoon malware targeting outdated routers to install proxies and hide criminal activity. At RELIANOID, we’ve always emphasized the importance of timely up..

Blog Malware Targeting End-of-Life Routers
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@mashka shared a link, 11 months, 4 weeks ago
Paid Acquisition and Growth Marketing, xygeni

AI-Powered DevSecOps. Orchestrating Security at Cloud Scale

SafeDev Talk: AI-Powered DevSecOps – Orchestrating Security at Cloud Scale

Join us for an insightful discussion on how AI is revolutionizing DevSecOps, enhancing security across the Software Development Life Cycle (SDLC).

Don't miss this opportunity to understand how AI is reshaping the future of DevSecOps https://www.linkedin.com/events/7335954209948819457SafeDev Talk on AI-Powered DevSecOps

SafeDev Talk - AI-Powered DevSecOps
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@anjali shared a link, 11 months, 4 weeks ago
Customer Marketing Manager, Last9

How to Log Into a Docker Container

Understand how to quickly log into a Docker container using simple commands to troubleshoot and manage your apps effectively.

Docker metrics
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@carlos_devops shared a post, 11 months, 4 weeks ago
Consultant, Independent

What is a recommended as a good alternative from JFrog for artifact management as an entrpise grade solution?

When thinking about enterprise-grade artifact management beyond JFrog Artifactory, how do other solutions measure up in terms of universal package support, scalability, security, and seamless DevOps integration?

Artifacts
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@laura_garcia shared a post, 11 months, 4 weeks ago
Software Developer, RELIANOID

📣 We're thrilled to see our solutions featured on TechBullion!

A big thank you to the TechBullion team for highlighting our work and helping spread the word about what we do. 🙌 🔗 https://www.relianoid.com/about-us/relianoid-related-articles/ #TechBullion#RELIANOID#CyberSecurity#LoadBalancing#Networking#Innovation#TechNews..

Article Techbullion on RELIANOID
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@laura_garcia shared a post, 11 months, 4 weeks ago
Software Developer, RELIANOID

🚀 Our first time in Taiwan! DevOpsDays Taipei

📍 June 5–6 | Taipei, Taiwan We’re excited to join DevOpsDays Taipei 2025, Taiwan’s biggest DevOps event! Over 700 IT pros, engineers, and tech leaders will gather to dive into automation, CI/CD, observability, SRE, and DevOps culture. 👥 Meet the RELIANOID team on-site! Discover how we help DevOps te..

devops days taipei 2025
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@anjali shared a link, 11 months, 4 weeks ago
Customer Marketing Manager, Last9

Prometheus Alerting Examples for Developers

Know how to set up smarter Prometheus alerts from basic CPU checks to app-aware rules that reduce noise and catch real issues early.

node
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@anjali shared a link, 11 months, 4 weeks ago
Customer Marketing Manager, Last9

Jaeger vs Zipkin: Which is Right for Your Distributed Tracing

Compare Jaeger and Zipkin to find the best fit for your distributed tracing needs, infrastructure, and observability goals.

rabbit
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@laura_garcia shared a post, 11 months, 4 weeks ago
Software Developer, RELIANOID

🔐 RELIANOID at Cyber Security Congress 2025 – Enabling a Secure Future

📍 June 4–5 | Santa Clara, California | Part of TechEx North America The future of cybersecurity demands smart, scalable solutions — and we’re ready to deliver. Join us at#CyberSecurityCongress, where RELIANOID will showcase advanced application delivery and threat protection technologies built for h..

Cyber Security Congress North America 2025
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@readdive shared a post, 1 year ago
Founder, Read Dive

Snapchat and Generative AI: The Next Phase of Augmented Reality

Explore how Snapchat combines generative AI and augmented reality to transform digital creativity, user interaction, and storytelling in exciting new ways.

Snapchat and Generative AI
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.