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@kaptain added a new tool Rancher Kubernetes Engine (RKE2) , 3 weeks ago.
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@laura_garcia shared a post, 3 weeks ago
Software Developer, RELIANOID

🔥 𝗕𝗹𝗮𝗰𝗸 𝗙𝗿𝗶𝗱𝗮𝘆 𝗮𝘁 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗: 𝗘𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗣𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗲 𝗟𝗶𝘃𝗲! 🔥

This year, we’re taking Black Friday to the next level — with 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱 𝗽𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝘀 designed specifically for our users, partners, and customers, who will receive their 𝗲𝘅𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝗼𝗳𝗳𝗲𝗿 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 tomorrow, perfectly matched to their environment ➡️ 🎁 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗢𝗳𝗳𝗲𝗿𝘀 𝗳𝗼𝗿 𝗘𝘃𝗲𝗿𝘆 𝗡𝗲𝗲𝗱. 🚀 𝗗𝗼 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗸𝗻𝗼..

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@thiagoterzi shared a post, 3 weeks ago
CEO, dgt27

Overcoming Data Duplication in CRM Systems

Learn how to prevent and resolve CRM data duplication using automation, AI tools, and smart integrations like Marketo Salesforce integration to maintain cleaner data.

Overcoming Data Duplication in CRM Systems
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@laura_garcia shared a post, 3 weeks, 1 day ago
Software Developer, RELIANOID

🚀 New Deployment Guide: RELIANOID Enterprise Edition v8 on Azure with Terraform

We're excited to share a 1-minute deployment guide showing how to quickly launch the RELIANOID Load Balancer Enterprise Edition v8 on Microsoft Azure using our official Terraform module. 🔧 What’s inside the guide? Prerequisites (Terraform, Azure CLI, SSH keys) How to find the official Terraform modu..

terraform_relianoid_enterprise_azure_img2
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@laura_garcia shared a post, 3 weeks, 2 days ago
Software Developer, RELIANOID

🚗🔒 Automotive Cybersecurity: Connected Cars, Connected Risks

Modern vehicles are no longer just machines — they’re connected devices storing data, running AI-driven assistants, and linked to vast supply chains. But with innovation comes new threats: from remote car hacking to ransomware attacks targeting manufacturing lines. Recent incidents — like the cybera..

Blog_Automotive Cybersecurity_relianoid
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@laura_garcia shared a post, 3 weeks, 3 days ago
Software Developer, RELIANOID

Huge thanks to Design Tech Solutions for publishing an article about RELIANOID! 📰 🤩

They explore how the RELIANOID Load Balancer enhances maritime cybersecurity, helping secure connected vessels, ports, and critical infrastructure. Read the full article here: https://www.relianoid.com/about-us/relianoid-related-articles/ #MaritimeCybersecurity#CyberSecurity#ConnectedShipping#LoadBa..

design tech solutions Article
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@anjali shared a link, 3 weeks, 3 days ago
Customer Marketing Manager, Last9

7 Observability Solutions for Full-Fidelity Telemetry

A quick guide to how seven leading observability tools support full-fidelity telemetry and the architectural choices behind them.

full_fieldiity_telemetry
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@varbear shared a link, 3 weeks, 3 days ago
FAUN.dev()

We are replacing OOP with something worse

Object-oriented programming didn’t die - it evolved. Now it lives in the guts of infrastructure. Services talk through strict interfaces, crossing process and network lines like pros. Classes and objects? They're nowOpenAPI schemas,Docker containers, andKubernetes clusters- same old encapsulation ga.. read more  

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@varbear shared a link, 3 weeks, 3 days ago
FAUN.dev()

Why is Zig so Cool?

Zig bringscross-compilationandC interoperabilityto the forefront - no extra setup, no toolchain fuss. It builds across architectures, links with C code like it was born to, and skips headers entirely. Its real flex?Compile-time execution, sharperror handling, and azero-fat runtime. All wrapped in a .. read more  

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.