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

🚀 Thank you for the 5⭐ Google review!

We’re thrilled to receive such great feedback on our solutions — it truly means a lot to the entire RELIANOID team. Your trust motivates us to keep buildinghigh-performance, secure, and reliable ADC and load balancing technologiesthat make a real impact. 🔐 Whether it’s aboutperformance,stability, or..

5star review Nitish Google RELIANOID
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@sitesazz123 created an organization sitesazz.ir , 4 months ago.
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@laura_garcia shared a post, 4 months ago
Software Developer, RELIANOID

🔍 What is Open RAN?

📡 Open Radio Access Network (Open RAN) is a game-changing approach to building radio networks using open, standards-based, and interoperable interfaces. Unlike traditional vendor-locked RANs, Open RAN enables multi-vendor flexibility, lower costs, and faster innovation. 🧠 Key features: Disaggregated..

kb What is Open RAN
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@daviddubey432 added a new tool reelbooks , 4 months ago.
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@faun shared a link, 4 months ago

Human coders are still better than LLMs

Antirez recounted a story of working on Vector Sets for Redis, detailing a bug he encountered and his process of finding a solution through a creative approach involving LLM. He explored different methods to ensure link reciprocity and proposed a hashing solution that offered a balance between effic..

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@faun shared a link, 4 months ago

Text-to-Malware: How Cybercriminals Weaponize Fake AI-Themed Websites

UNC6032swindled millions by spinning a tangled web of fake "AI video generator" sites. They slippedPython-based infostealersright under our noses, using social media ads as their Trojan horses.Meta’s ad transparency pulled back the curtain on over 30 malicious sites, yet the sneakySTARKVEIL malwarec..

Text-to-Malware: How Cybercriminals Weaponize Fake AI-Themed Websites
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@faun shared a link, 4 months ago

Peer Programming with LLMs, For Senior+ Engineers

LLMs—the mysterious, fickle companions of coding.Senior engineerswade through it, extracting gold with tricks like "Second opinion" and "Throwaway debugging." Seth Godin rings the alarm: these clever machines aren't as clever as they look. First askClaude, then call in a human...

Peer Programming with LLMs, For Senior+ Engineers
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@faun shared a link, 4 months ago

Architecting Gen AI-Powered Microservices: The Unwritten Playbook

Plugging Gen AI into microservicesisn't just a task. It's an adventure in tech wizardry. Get cozy with messaging queues, prompt caching, and the relentless art of watching in production...

Architecting Gen AI-Powered Microservices: The Unwritten Playbook
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@faun shared a link, 4 months ago

LLMOps: DevOps Strategies for Deploying Large Language Models in Production

LLMOpsshakes up the MLOps scene with tailor-made Kubernetes magic. It wrestlesGPU scheduling, caching, and autoscalingfor those behemothLLM deployments. Keep an eye out for serverless endpoints and model meshes—smooth scaling and a wallet-friendly operation...

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@faun shared a link, 4 months ago

It’s not your imagination: AI is speeding up the pace of change

AI takes a victory lap:Mary Meeker revealsChatGPTsnagged 800 million users in a brisk 17 months. Meanwhile, the bean counters cheer as inference costs nosedived 99% in just two years. Profitability? That's still a cliffhanger...

It’s not your imagination: AI is speeding up the pace of change
ForgeMT is an open-source, production-grade platform designed to solve the complexity of running GitHub Actions runners at scale. Instead of teams managing their own fragile and duplicated CI runner setups, ForgeMT centralizes orchestration into a single, multi-tenant system built for scalability, security, and cost efficiency.

The platform provisions ephemeral runners on both EC2 and Kubernetes (EKS) using Terraform and Terragrunt, ensuring workloads scale up instantly and tear down to zero when idle, reducing costs. It enforces strong tenant isolation with AWS IAM, OIDC integration, and network segmentation, giving each team a secure boundary without requiring separate infrastructure.

ForgeMT integrates seamlessly with GitHub via a GitHub App and webhook events, automatically spinning up the right type of runner when jobs start. It supports advanced autoscaling strategies with Karpenter, spot instance optimization, and observability through centralized logging and monitoring.

By removing operational overhead, ForgeMT helps organizations accelerate delivery, cut cloud costs, and meet security requirements — all while giving developers fast, ephemeral CI runners that just work.