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..

📡 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..

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...

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..

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...

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..

Deploying LLMs onGCP Load Balancersis like fitting a square peg in a round hole. These models aren't stateless, so skip HTTP, go straight forTCP Load Balancing. Toss in Redis to keep those sessions on a leash. Tweak load balancer settings to dodge mid-stream socket calamities. Embrace the power ofGK..

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...