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@laura_garcia shared a post, 11 months, 2 weeks ago
Software Developer, RELIANOID

🚀 RELIANOID at VivaTech 2025 – Paris

📅 June 11–14, 2025 | 🇫🇷 Paris, France 📍 Europe’s Biggest Startup & Tech Event From June 11–14, Paris becomes the center of global innovation at Viva Technology 2025 — bringing together 165,000+ attendees, 13,500 startups, 3,500 exhibitors, and 400 speakers to explore what’s next in tech. Here’s why ..

VIVA technology paris 2025
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@laura_garcia shared a post, 11 months, 2 weeks ago
Software Developer, RELIANOID

🌍 London Tech Week 2025

📅 June 10–14 | Olympia London 🎯 Theme: Tech in the Age of AI RELIANOID is proud to join Europe’s top tech festival — connecting global innovators, investors, and leaders. 🔐 Discover how our secure, AI-driven application delivery solutions power the digital future. Let’s connect in London! #LTW2025#A..

London Tech Week 2025
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@laura_garcia shared a post, 11 months, 2 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 The FBI has issued a PSA warning about TheMoon malware targeting outdated routers to install proxies and hide criminal activity.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, 2 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, 2 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, 2 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, 2 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, 3 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, 3 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, 3 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
NanoClaw is an open-source personal AI agent designed to run locally on your machine while remaining small enough to fully understand and audit. Built as a lightweight alternative to larger agent frameworks, the system runs as a single Node.js process with roughly 3,900 lines of code spread across about 15 source files.

The agent integrates with messaging platforms such as WhatsApp and Telegram, allowing users to interact with their AI assistant directly through familiar chat applications. Each conversation group operates independently and maintains its own memory and execution environment.

A core design principle of NanoClaw is security through isolation. Every agent session runs inside its own container using Docker or Apple Container, ensuring that the agent can only access files and resources that are explicitly mounted. This approach relies on operating system–level sandboxing rather than application-level permission checks.

The architecture is intentionally simple: a single orchestrator process manages message queues, schedules tasks, launches containerized agents, and stores state in SQLite. Additional functionality can be added through a modular skills system, allowing users to extend capabilities without increasing the complexity of the core codebase.

By combining a minimal architecture with container-based isolation and messaging integration, NanoClaw aims to provide a transparent, customizable personal AI agent that users can run and control entirely on their own infrastructure.