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@viktoriiagolovtseva shared a post, 3 weeks, 2 days ago

Checklists in Confluence: A Simple Way to Bring Clarity to Project Work

Confluence has become a central space for documenting knowledge, feature plans, meeting notes, check-in reports, SOPs, and sprint summaries. But there is a challenge.

Confluence captures context well, but it doesn’t always drive action. A well-structured page can still leave a team wondering: “What’s actually happening with this?”

That’s where checklists solve the challenge. Being simple, repeatable, and visual, they help teams close the gap between writing something down and doing it.

But checklists only add value if they reflect reality. If they’re trackable, maintained, and visible to the right people.

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@laura_garcia shared a post, 3 weeks, 2 days ago

Software Developer, RELIANOID

𝗠𝗲𝗱-𝗧𝗲𝗰𝗵 𝗘𝘅𝗽𝗼 𝟮𝟬𝟮𝟲

🏥 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝘁 𝗠𝗲𝗱-𝗧𝗲𝗰𝗵 𝗘𝘅𝗽𝗼 𝟮𝟬𝟮𝟲 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 is excited to join Med-Tech Expo 2026 in Birmingham on June 3–4 — the UK’s leading event for medical device manufacturing, digital health, and 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻. As 𝗮𝗰𝘁𝗶𝘃𝗲 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗼𝗿𝘀 𝗮𝗻𝗱 𝘀𝘂𝗽𝗽𝗹𝗶𝗲𝗿𝘀 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝗶𝗻𝗴 𝗶𝗻𝗻..

med_tech_event_2026_bormingham_uk_relianoid

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@laura_garcia shared a post, 3 weeks, 3 days ago

Software Developer, RELIANOID

𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 and 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 through Load Balancing

🚀 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 and 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 are no longer optional — they are 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨-𝙘𝙧𝙞𝙩𝙞𝙘𝙖𝙡. Load balancing plays a key role in ensuring applications remain fast, available, and resilient, even under growing traffic demands. From intelligent traffic distribution to automatic failover and advanced health check..

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@laura_garcia shared a post, 3 weeks, 4 days ago

Software Developer, RELIANOID

nmap Command Cheatsheet

🔍 New technical guide: nmap Command Cheatsheet If you work with network security or system administration, this quick reference covers essential Nmap techniques—from SYN scans and service detection to OS fingerprinting and NSE scripts. 👉 Read the full article here: https://www.relianoid.com/resource..

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@laura_garcia shared a post, 3 weeks, 5 days ago

Software Developer, RELIANOID

𝗜𝗻𝗳𝗼𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗘𝘂𝗿𝗼𝗽𝗲 𝟮𝟬𝟮𝟲

🔐 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 will be attending 𝗜𝗻𝗳𝗼𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗘𝘂𝗿𝗼𝗽𝗲 𝟮𝟬𝟮𝟲 in London from June 2–4! As one of 𝘌𝘶𝘳𝘰𝘱𝘦’𝘴 𝘭𝘦𝘢𝘥𝘪𝘯𝘨 𝘤𝘺𝘣𝘦𝘳𝘴𝘦𝘤𝘶𝘳𝘪𝘵𝘺 𝘦𝘷𝘦𝘯𝘵𝘴, Infosecurity Europe brings together security professionals, innovators, and decision-makers to explore the future of cyber resilience, cloud security, AI-driven protection..

infosecurity_europe_london_2026_relianoid

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@nextgensoft created an organization NextGenSoft Technologies LLP , 3 weeks, 6 days ago.

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@sanjayjoshi shared a post, 3 weeks, 6 days ago

How Shadcn Form Builder Changes React Form Development

Instead of manually creating every field and validation rule, Shadcn Form Builder allows developers to describe a form in plain English and generate a complete starting point automatically.

Story

@laura_garcia shared a post, 3 weeks, 6 days ago

Software Developer, RELIANOID

𝗧𝗵𝗲 𝗕𝗹𝘂𝗲 𝗘𝗰𝗼𝗻𝗼𝗺𝘆 is 𝙖𝙘𝙘𝙚𝙡𝙚𝙧𝙖𝙩𝙞𝙣𝙜 𝙙𝙞𝙜𝙞𝙩𝙖𝙡 𝙩𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢𝙖𝙩𝙞𝙤𝙣

🌊 𝗧𝗵𝗲 𝗕𝗹𝘂𝗲 𝗘𝗰𝗼𝗻𝗼𝗺𝘆 is 𝙖𝙘𝙘𝙚𝙡𝙚𝙧𝙖𝙩𝙞𝙣𝙜 𝙙𝙞𝙜𝙞𝙩𝙖𝙡 𝙩𝙧𝙖𝙣𝙨𝙛𝙤𝙧𝙢𝙖𝙩𝙞𝙤𝙣 — from smart ports and AI-powered fisheries monitoring to advanced yacht and fleet management systems. In our latest article, we explore how platforms like 𝘐𝘠𝘊 𝘉𝘓𝘜𝘌, 𝘚𝘮𝘢𝘳𝘵 𝘞𝘢𝘷𝘦, 𝘍𝘪𝘴𝘩𝘝𝘶𝘦 𝘐𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵, 𝘢𝘯𝘥 𝘔𝘢𝘳𝘪𝘯𝘦 𝘋𝘪𝘨𝘪𝘵𝘢𝘭 rely on resilient, secure,..

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@basit001 created an organization Levelop.dev , 4 weeks, 2 days ago.

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@laura_garcia shared a post, 4 weeks, 2 days ago

Software Developer, RELIANOID

𝟭𝟴𝟰 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗰𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 exposure

A 𝗽𝘂𝗯𝗹𝗶𝗰𝗹𝘆 𝗲𝘅𝗽𝗼𝘀𝗲𝗱 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 containing 𝟭𝟴𝟰 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 𝗰𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹 𝗿𝗲𝗰𝗼𝗿𝗱𝘀 has highlighted once again 𝙝𝙤𝙬 𝙛𝙧𝙖𝙜𝙞𝙡𝙚 𝙙𝙖𝙩𝙖 𝙥𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣 𝙘𝙖𝙣 𝙗𝙚 𝙬𝙞𝙩𝙝𝙤𝙪𝙩 𝙥𝙧𝙤𝙥𝙚𝙧 𝙨𝙚𝙘𝙪𝙧𝙞𝙩𝙮 𝙘𝙤𝙣𝙩𝙧𝙤𝙡𝙨. From social media and financial services to healthcare and government accounts, the scale of this exposure demonstrates why 𝗽𝗿𝗼𝗮𝗰𝘁𝗶𝘃𝗲 ..

Unsloth is an open-source toolkit for training and fine-tuning large language models faster and with less memory than a standard Hugging Face stack. Its core library replaces PyTorch's default autograd with custom backpropagation kernels written in OpenAI's Triton language, which is where most of its speed and memory savings come from. It supports LoRA, QLoRA, full fine-tuning, reinforcement learning, pretraining, and 4-bit, 16-bit, and FP8 training, across more than 500 text, vision, audio, and embedding models.

The practical draw is hardware reach. QLoRA workflows in Unsloth let you fine-tune an 8B model on a single 12 GB consumer GPU, and the project headlines roughly 2x faster training with about 70 percent less VRAM versus baseline implementations, though the exact figures vary by model, GPU, and config. A 2026 update added faster mixture-of-experts training, with models like Qwen3-30B-A3B fine-tunable on about 17.5 GB of VRAM. It runs on NVIDIA (including Blackwell and DGX Spark), AMD, and Intel GPUs, with free Colab and Kaggle notebooks for trying it without local hardware.

It fits cleanly into the local-AI workflow. Unsloth integrates with Hugging Face transformers and TRL, and uses llama.cpp to save and run models, exporting to GGUF for Ollama or LM Studio as well as safetensors. As of 2026 it also ships Unsloth Studio, a local no-code GUI that covers the full lifecycle from dataset creation to training to running and comparing GGUF and safetensors models, with tool-calling, web search, and an OpenAI-compatible API, all running offline on Mac and Windows, with the core library under the Apache 2.0 license.