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@anjali shared a link, 6 months ago
Customer Marketing Manager, Last9

Instrument Jenkins With OpenTelemetry

Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.

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@laura_garcia shared a post, 6 months 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, 6 months 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, 6 months 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, 6 months 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, 6 months 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..

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@anjali shared a link, 6 months 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, 6 months 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, 6 months 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  

Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.