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@idjuric660 shared a post, 4 days, 22 hours ago
Technical Content Writer, Mailtrap

5 Best Email API for PHP Developers Tested & Compared: Here’s What I Found

The best email APIs for PHP developers are Mailtrap, SendGrid, Mailgun, Amazon SES, and Postmark. I researched and tested each of these services with the help of Mailtrap’s deliverability experts and security team. My goal was to identifythe best email APIs for PHP projectsby looking at real-world i..

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@laura_garcia shared a post, 5 days, 2 hours ago
Software Developer, RELIANOID

AI-driven cyberthreats previsions

At the end of last year, we warned that AI-driven cyberthreats would accelerate industrial risk in 2026. Just a few months into the year, that prediction is already proving accurate. We’re seeing clear signals that attackers are increasingly leveraging Artificial Intelligence to: - Automate reconnai..

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@fidelissecurity started using tool Cybersource , 5 days, 23 hours ago.
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@laura_garcia shared a post, 6 days, 4 hours ago
Software Developer, RELIANOID

𝗡𝗜𝗦𝟮 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁

Alignment for RELIANOID Load Balancer & Organizational Operations At RELIANOID, we recognize the strategic importance of the EU NIS2 Directive in strengthening cybersecurity resilience across Europe. As an advanced load balancing and application delivery provider, RELIANOID qualifies as an Important..

nis2 compliance RELIANOID
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@craitrix created an organization Craitrix , 6 days, 6 hours ago.
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@laura_garcia shared a post, 1 week ago
Software Developer, RELIANOID

𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (𝗙𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | 𝗥𝗲𝗺𝗼𝘁𝗲 / 𝗛𝘆𝗯𝗿𝗶𝗱)

🚀 𝗪𝗲’𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (𝗙𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | 𝗥𝗲𝗺𝗼𝘁𝗲 / 𝗛𝘆𝗯𝗿𝗶𝗱) At RELIANOID, we’re accelerating the evolution of our cloud-native solutions — and we need talented engineers to join us. We’re looking for 𝟮 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 to join our Product Engineering team and help shape the future ..

careers RELIANOID hiring
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@devopslinks shared a link, 1 week ago
FAUN.dev()

The Only Claude Skill Every DevOps Engineer Needs

TheTerraform Claude SkillturnsClaude Codeinto a Terraform expert. It enforces modularity, strict naming, and consistent tagging. It treats thestate fileas the single source of truth. It wires in external tools: linting, security checks, and cost estimates. It forces real-doc validation and blocks in.. read more  

The Only Claude Skill Every DevOps Engineer Needs
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@devopslinks shared a link, 1 week ago
FAUN.dev()

Chinese Vulnerability Database: CNVD vs CNNVD Analysis

Investigation profilesCNNVDandCNVDechoCVE. They reveal manual errors and poor machine-readability. China’s July 2021RMSVmandates 48-hour reporting and bans pre-patch disclosure. Mapping gaps exist. The databases published about1.4kentries ahead ofCVE, with lead times measured in months... read more  

Chinese Vulnerability Database: CNVD vs CNNVD Analysis
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@devopslinks shared a link, 1 week ago
FAUN.dev()

Please stop externalizing your costs directly into my face

SourceHut spent20–100%of weekly time mitigating hyper‑aggressive LLM crawlers. That work caused dozens of short outages and delayed core projects. The crawlers ignorerobots.txt. They hit costly endpoints likegit blame. They scan full git logs and commits. They rotate randomUser‑Agentsand thousands o.. read more  

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@devopslinks shared a link, 1 week ago
FAUN.dev()

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners

Introduces anAI Agent Gateway. It mediates agent requests, validates intent, enforcespolicy-as-code, and isolates execution inephemeral runners. Agents discover tools viaMCP. They submitJSON-RPCcalls and receiveOPAdecisions. Jobs queue and run in short-lived namespaces. Each run carries plan hashes,.. read more  

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners
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.