Ubuntu var log messages: A Complete Guide for System Admins
A complete guide to Ubuntu's /var/log/messagesâyour go-to log file for system events, errors, and troubleshooting insights.
Updates from Levelop.dev... Link
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@laura_garcia shared a post, 1Â year, 2Â months ago
Software Developer, RELIANOID
RELIANOID AT RSA CONFERENCE
- RELIANOID is heading to San Francisco! April 28 â May 1, 2025 | RSA Conference⢠| Moscone Center Weâre excited to announce that RELIANOID will be taking part inRSAC⢠2025â one of the worldâs most influential cybersecurity conferences. This event gathers security professionals, thought leaders, and..
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@laura_garcia shared a post, 1Â year, 2Â months ago
Software Developer, RELIANOID
Looking to maximize uptime and ensure uninterrupted service for your applications?
In high-availability environments, Floating IPs are a game changer â and RELIANOID makes implementing them simple and reliable. A floating IP allows seamless failover between servers, keeping your applications online even if a node goes down. Whether you're managing a web app, an enterprise system, ..
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@anjali shared a link, 1Â year, 2Â months ago
Customer Marketing Manager, Last9
APM Observability: A Practical Guide for DevOps and SREs
A no-fluff guide to APM observability for DevOps and SREsâtools, tips, and what actually matters when keeping systems healthy.
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@anjali shared a link, 1Â year, 2Â months ago
Customer Marketing Manager, Last9
Getting Started with Prometheus Metrics Endpoints
Learn how to get started with Prometheus metrics endpoints to collect, expose, and query critical data for better system monitoring.
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@anjali shared a link, 1Â year, 2Â months ago
Customer Marketing Manager, Last9
Database Monitoring Metrics: What to Track & Why It Matters
Not all database metrics are created equal. Learn which ones to track, why they matter, and how they help you stay ahead of performance issues.
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@faun shared a link, 1Â year, 2Â months ago
FAUN.dev()
Building A Virtual Machine inside ChatGPT
ChatGPTmoonlights as a virtual Linux machine, performing calculations faster than some actual hardware. Impressive, right? But don't get too excitedâit can't juggle real-time tasks or tap into a GPU. A digital superhero with a glaring Achilles' heel... read more Â
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@faun shared a link, 1Â year, 2Â months ago
FAUN.dev()
The best AI for coding in 2025 (and what not to use - including DeepSeek R1)
ChatGPT Plusaces coding tests. Meanwhile,Microsoft's CopilotandMeta AItrip over their virtual feet. These AIs can patch bugs like pros, but crafting full-fledged apps? Not in their current skill set... read more Â
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@faun shared a link, 1Â year, 2Â months ago
FAUN.dev()
Announcing the Agent2Agent Protocol (A2A)- Google Developers Blog
A2A Protocoltosses AI agents from different vendors into a communal sandbox. Over 50 tech behemoths likeGoogle, Salesforce, and PayPalrally behind it. Here, silos crumble. Built on solid tech standards, it lets agents dance through vibrant, multi-agent workflows. Think of it as a revolutionary leap .. read more Â
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@faun shared a link, 1Â year, 2Â months ago
FAUN.dev()
Google Is Winning on Every AI Front
Google's Gemini 2.5 Probulldozes through benchmarks like LMArena and GPQA Diamond. With its gargantuan1 million token context windowand zero-cost access, it leavesOpenAIeating its dust. Googleâs sprawling ecosystem welcomes Gemini with open arms. They're not just ruling AI text models; they command .. read more Â
Instead of just handing you endless lists of problems or passive videos to watch, Levelop uses an active, AI-guided approach to help you build the right mental models for tough technical interviews.
Here is how it works:
Two Specialized AI Mentors: * Orion (Coding AI): Instead of just telling you that your code is wrong, Orion steps in when your code fails, maps out where your knowledge gap is, and guides you to fix it yourself.
Aurora (System Design AI): Rather than making you watch a 40-minute video, Aurora has a live conversation with you to explain foundational system design concepts before you even start drawing on the canvas.
Sprint-Based Practice: You practice in structured loops called "sprints," which combine both Data Structures & Algorithms (DSA) and system design problems.
Actionable Feedback Loop: At the end of every sprint, you receive a detailed report. It scores your technical skills, gives you a behavioral profile, and ranks the exact weaknesses you need to focus on during your next sprint.
In short, it is a smart, interactive practice arena that focuses on actively fixing your specific weaknesses rather than just tracking how many hours you spend studying.
