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@cristiandeluxe started using tool Google GKE , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool GNU/Linux , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool Docker , 2 weeks, 5 days ago.

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@cristiandeluxe started using tool cPanel , 2 weeks, 5 days ago.

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@laura_garcia shared a post, 3 weeks ago

Software Developer, RELIANOID

RELIANOID Live Demo

Behind every successful deployment, there’s a 𝗱𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝘁𝗲𝗮𝗺 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗰𝗹𝗼𝘀𝗲𝗹𝘆 𝘄𝗶𝘁𝗵 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 to 𝙙𝙚𝙡𝙞𝙫𝙚𝙧 𝙩𝙝𝙚 𝙧𝙞𝙜𝙝𝙩 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣 𝙖𝙩 𝙩𝙝𝙚 𝙧𝙞𝙜𝙝𝙩 𝙩𝙞𝙢𝙚. Today’s 𝗹𝗶𝘃𝗲 𝗱𝗲𝗺𝗼 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 is a great example of how our engineers go beyond technology — providing 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗴𝘂𝗶𝗱𝗮𝗻𝗰𝗲, and a 𝗳𝘂𝗹𝗹𝘆 𝗽𝗲𝗿𝘀𝗼𝗻𝗮..

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@laura_garcia shared a post, 3 weeks, 1 day ago

Software Developer, RELIANOID

𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗦𝗲𝗰𝘁𝗼𝗿

🚨 𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗦𝗲𝗰𝘁𝗼𝗿 🚨 According to recent industry reports, 2025 saw a significant rise in high-severity cyber incidents across critical sectors: 🔹 IT: 23% 🔹 Government: 18% 🔹 Industrial: 18% The industrial and food sectors are becoming increasingly attractive..

high-severity incident per industries graph

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@sanjayaalpha859 started using tool Azure Pipelines , 3 weeks, 1 day ago.

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@sanjayaalpha859 started using tool AccessTrade , 3 weeks, 1 day ago.

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

Software Developer, RELIANOID

𝗗𝗲𝘃𝗗𝗮𝘆𝘀 • 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼 • 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲

🚀 𝗗𝗲𝘃𝗗𝗮𝘆𝘀 • 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼 • 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 𝘛𝘩𝘳𝘦𝘦 𝘤𝘰𝘯𝘧𝘦𝘳𝘦𝘯𝘤𝘦𝘴. 𝘖𝘯𝘦 𝘦𝘤𝘰𝘴𝘺𝘴𝘵𝘦𝘮. 𝘜𝘯𝘭𝘪𝘮𝘪𝘵𝘦𝘥 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯. From May 19–22, 2026, 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 will join the unified experience of 𝗗𝗲𝘃𝗗𝗮𝘆𝘀, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗣𝗿𝗼, and 𝗖𝘆𝗯𝗲𝗿𝗪𝗶𝘀𝗲𝗖𝗼𝗻 𝗘𝘂𝗿𝗼𝗽𝗲 in Vilnius. A unique event bringing together developers, DevOps engineers, cybersecu..

devdays_devops_pro_cyberwisecon_europe_vilnius_2026_relianoid

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@harshilmalvi started using tool Microsoft Power Platform , 3 weeks, 2 days ago.

Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.