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@kala added a new tool Manus AI , 4 days, 7 hours ago.
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@laura_garcia shared a post, 4 days, 7 hours ago
Software Developer, RELIANOID

What is Load Balancing in DigitalOcean? ⚖️

A quick 3-minute read on how traffic is distributed across Droplets to improve performance, scalability, and availability—and how RELIANOID enhances it with advanced monitoring, security, and flexibility. 👉 Smart traffic distribution. High availability. Seamless scaling. #LoadBalancing#DigitalOcean#..

Knowledge base Load Balancing in DigitalOcean  RELIANOID
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@smnuman started using tool ChatGPT , 5 days, 21 hours ago.
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@viktoriiagolovtseva shared a post, 1 week ago

Jira Action Items Functionality

Jira Action Items are a new feature introduced in Jira to help teams track small tasks inside a work item (issue) without needing to create subtasks. Instead of breaking out additional tickets for quick to-dos or follow-ups, you can now add lightweight checklists directly into rich text fields like ..

Zrzut ekranu 2026-01-02 152946
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@laura_garcia shared a post, 1 week ago
Software Developer, RELIANOID

What is AWS (Amazon Web Services)?

AWS is a global public cloud platform that lets you run compute, storage, networking, databases, and more on demand, pay-as-you-go, and at scale across multiple Regions and Availability Zones. 👉 Build resilient architectures 👉 Automate everything with APIs & IaC 👉 Scale securely and globally in minu..

Knowledge base Why Deploy RELIANOID Load Balancer on AWS
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@viktoriiagolovtseva shared a post, 1 week ago

Vendor Payment Template for Jira

Vendor Payments Take Too Much Time And There Is a Way Out of the Vicious Cycle

Zrzut ekranu 2026-01-02 142203
vLLM is an advanced open-source framework for serving and running large language models efficiently at scale. Developed by researchers and engineers from UC Berkeley and adopted widely across the AI industry, vLLM focuses on optimizing inference performance through its innovative PagedAttention mechanism — a memory management system that enables near-zero waste in GPU memory utilization. It supports model parallelism, continuous batching, tensor parallelism, and dynamic batching across GPUs, making it ideal for real-world deployment of foundation models. vLLM integrates seamlessly with Hugging Face Transformers, OpenAI-compatible APIs, and popular orchestration tools like Ray Serve and Kubernetes. Its design allows developers and enterprises to host LLMs with reduced latency, lower hardware costs, and increased throughput, powering everything from chatbots to enterprise-scale AI services.