Traces & Spans: Observability Basics You Should Know
Learn how traces and spans help you see inside distributed systemsâso you can troubleshoot faster and build more reliable software.
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@laura_garcia shared a post, 7Â months ago
Software Developer, RELIANOID
đ Windows Network Load Balancer vs. Relianoid â What's the Difference?
Windows Network Load Balancer (NLB) is a built-in feature of Microsoft Windows Server that enables basic load balancing across multiple serversâsimple, cost-effective, and easy to set up. â How NLB Helps ⢠Distributes traffic across up to 32 servers ⢠Ensures failover and redundancy ⢠Supports sessio..
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@ninaddesai shared a link, 7Â months ago
Staff Engineer, Infracloud
Eliminating Observability Vendor Lock-in with OpenTelemetry: A Hands-On Demo
Struggling to switch from Prometheus to Elasticsearch without rewriting your app? This hands-on guide shows how OpenTelemetry decouples your observability backend with zero app changes. Includes working Docker-based examples and step-by-step guidance.
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@faun shared a link, 7Â months ago
Inside the CodeBot: A Gentle Introduction to How LLMs Understand Nullability
LLMs get nullability. The more you train them, the sharper they become. Pythia, with her heftier brain, deciphers nullability faster, thanks to top-notch inference tricks... read more Â
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@faun shared a link, 7Â months ago
Understanding RAG: Retrieval Augmented Generation Essentials for AI Projects
Retrieval-Augmented Generation (RAG) turns Large Language Models into knowledge-sniffing bloodhounds.It fetches real-time intel to crush those pesky hallucinations and refresh its smarts on demand. Why stick with static models when RAG gives your AI brains a live data feed? Real-time accuracy withou.. read more Â
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@faun shared a link, 7Â months ago
Meta Sought Funds for Llama AI Model Development from Amazon and Microsoft
Metaasked rivals likeMicrosoftfor cash to handle its soaring AI expenses. Bold move, right? Say hello toLlama 4âa beast with next-gen scalability. Think 10 million token contexts and a slickMixture-of-Expertsdesign. Legal drama over training data could crank up costs, butMetaplays it smart, pushing .. read more Â
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@faun shared a link, 7Â months ago
Trump administration considering broader DeepSeek ban
DeepSeekâat one time, the darling of chatbot innovation in Chinaânow finds itself under the unforgiving hammer of a US ban. The reason? Sketchy ties with China's military. Toss in the troubling bit about the60,000 Nvidia chipsit's hoardingâ20,000 of those should've been off-limitsâand you've got a r.. read more Â
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@faun shared a link, 7Â months ago
How to use any Python AI agent framework with free GitHub Models
GitHub Modelsdishes out no-cost access to models that mirror OpenAI's magic, but with a twistâeasy integration with Python. Just snag a Personal Access Token and dive in. Swap models faster than you change socks. đ.. read more Â
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@faun shared a link, 7Â months ago
Start building with Gemini 2.5 Flash
Gemini 2.5 Flashis your quick-thinking friend with an on/off brainstorm switch, juggling the holy trinity: quality, cost, and speed. It tacklesHard Promptslike a pro, only overshadowed by 2.5 Pro... read more Â
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@faun shared a link, 7Â months ago
Gemini 2.5 Flash with âthinking budgetâ rolling out to devs, Gemini app
Gemini 2.5 Flashbursts into the scene with a sparkling new feature: a "thinking budget." This lets developers fine-tune token-based reasoning anywhere from 0 to a whopping 24,576, cranking up accuracy without gouging your pockets. Catch it in preview onGoogle AI StudioandVertex AI. The model handles.. read more Â
