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@laura_garcia shared a post, 1 year, 2 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 — 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, ..

Floating IP Address
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@anjali shared a link, 1 year, 2 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 SREs—tools, tips, and what actually matters when keeping systems healthy.

application
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@anjali shared a link, 1 year, 2 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.

windows
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@anjali shared a link, 1 year, 2 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.

CDN
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@faun shared a link, 1 year, 2 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 excited—it can't juggle real-time tasks or tap into a GPU. A digital superhero with a glaring Achilles' heel... read more  

Building A Virtual Machine inside ChatGPT
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@faun shared a link, 1 year, 2 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  

The best AI for coding in 2025 (and what not to use - including DeepSeek R1)
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@faun shared a link, 1 year, 2 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  

Announcing the Agent2Agent Protocol (A2A)- Google Developers Blog
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@faun shared a link, 1 year, 2 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. Google’s sprawling ecosystem welcomes Gemini with open arms. They're not just ruling AI text models; they command .. read more  

Google Is Winning on Every AI Front
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@faun shared a link, 1 year, 2 months ago
FAUN.dev()

AI code suggestions sabotage software supply chain

Look sharp!LLM-driven toolsare fabricating package names out of thin air. In commercial models, it's5.2%. For open models, a staggering21.7%. Ideal for those up to no good and into "slopsquatting.".. read more  

AI code suggestions sabotage software supply chain
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@faun shared a link, 1 year, 2 months ago
FAUN.dev()

Introducing the Llama 4 herd in Azure AI Foundry and Azure Databricks

Llama 4 Scouton Azure AI Foundry doesn’t just sit around; it dives into its massive 10 million token context like it's born for deep dives and endless document wrangling. Meanwhile,Llama 4 Mavericktakes multilingual, multimodal chat conversations where few dare to go. Its Mixture of Experts architec.. read more  

Introducing the Llama 4 herd in Azure AI Foundry and Azure Databricks
Magika is an open-source file type identification engine developed by Google that uses machine learning instead of traditional signature-based heuristics. Unlike classic tools such as file, which rely on magic bytes and handcrafted rules, Magika analyzes file content holistically using a trained model to infer the true file type.

It is designed to be both highly accurate and extremely fast, capable of classifying files in milliseconds. Magika excels at detecting edge cases where file extensions are incorrect, intentionally spoofed, or absent altogether. This makes it particularly valuable for security scanning, malware analysis, digital forensics, and large-scale content ingestion pipelines.

Magika supports hundreds of file formats, including programming languages, configuration files, documents, archives, executables, media formats, and data files. It is available as a Python library, a CLI, and integrates cleanly into automated workflows. The project is maintained by Google and released under an open-source license, making it suitable for both enterprise and research use.

Magika is commonly used in scenarios such as:

- Secure file uploads and content validation
- Malware detection and sandboxing pipelines
- Code repository scanning
- Data lake ingestion and classification
- Digital forensics and incident response