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@devopslinks shared a link, 2 months, 3 weeks ago

FAUN.dev()

Why system architects now default to Arm in AI data centers

Architects rebase infrastructure torack-levelsystems. They anchor designs onArm NeoverseCPUs. Goal: balance energy, thermals, memory bandwidth, and sustained throughput. Benchmarks showGraviton4(Neoverse) outperforms comparableAMDandIntelEC2instances on price/performance for generative AI, DB, ML, a.. read more

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@devopslinks shared a link, 2 months, 3 weeks ago

FAUN.dev()

5 Suggestions to Upgrade your OpenTofu/Terraform & AWS Development Experience

The article covers tools and scripts to reclaim focus and improve workflow for OpenTofu, Terraform, and AWS CLI users. Suggestions include tools for easily swapping between versions, summarizing plans, linting code, switching AWS profiles, and customizing prompts. Bonus recommendation includes Task .. read more

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@devopslinks shared a link, 2 months, 3 weeks ago

FAUN.dev()

How I Use LLMs for Security Work

LLMs like Claude, Cursor, and ChatGPT help tackle complex problems, but prompting them like Google won't cut it. Use role-stacking for varied perspectives (e.g.: you are a senior security engineer and sr. software engineer with experience in Docker, Kubernete..) and always specify your tools for bet.. read more

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@devopslinks shared a link, 2 months, 3 weeks ago

FAUN.dev()

The Software Factory: Why Your Team Will Never Work the Same Again

The current models and tooling are enough to build software factories. In a software factory, developers stop writing code by hand, and AI coding agents implement features and fix bugs while developers design and improve the factory. Tools like Claude Code and Gas Town enable this shift towards a mo.. read more

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@devopslinks shared an update, 2 months, 3 weeks ago

FAUN.dev()

Systemd Gets a birthDate Field - and a "Liberated" Fork in Response

#age ver... #AB1043 #systemd #Liberat... #open so...

Age verification laws just reached the Linux init system. Systemd added an optional birthDate field to user records - not a policy engine, just a data slot other projects can build on. That was not enough to stop a fork. Liberated systemd removes it entirely, and the debate is not going away.

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

Software Developer, RELIANOID

Deploy RELIANOID on Azure in minutes

🚀 Deploy RELIANOID on Azure in minutes Looking to automate your infrastructure? Our latest guide shows how to deploy 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝘃𝟴 𝗼𝗻 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 — fast, simple, and fully automated. 💡 What you’ll get: - End-to-end deployment (VM, network, IP, secu..

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@jillelliott created an organization eSiteWorld TechnoLabs Pvt. Ltd. , 2 months, 3 weeks ago.

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@aarroondiazz created an organization Gojek App Clone , 2 months, 3 weeks ago.

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

Software Developer, RELIANOID

The cost of a data breach? Everything.

🚨 The cost of a data breach? Everything. 🚨 23andMe’s recent bankruptcy after a devastating data breach is a wake-up call for every business handling sensitive information. Millions of users' DNA data is now at risk of being sold, all because of inadequate security measures. A single breach can lead ..

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@cubeapm created an organization CubeAPM , 2 months, 3 weeks ago.

Xygeni is an AI-powered Application Security (AppSec) and Software Supply Chain Security platform designed for modern AI-first development environments. It helps organizations secure the entire software development lifecycle (SDLC) (from code and dependencies to CI/CD pipelines, cloud infrastructure, and runtime applications) through a unified, developer-friendly platform.

Built to address the growing complexity of AI-assisted development, Xygeni combines SAST, SCA, DAST, IaC Security, Secrets Detection, CI/CD Security, Malware Defense, Build Security, and ASPM into a single platform with real-time visibility and risk-based prioritization.

Xygeni goes beyond traditional AppSec tooling by focusing on exploitability, remediation risk, and automation. Its AI-powered capabilities help teams detect vulnerabilities, malicious packages, secrets leakage, and supply chain attacks while automatically recommending or applying secure fixes directly inside IDEs, pull requests, and AI-assisted workflows.

The platform also provides advanced governance and visibility for modern AI-driven development practices, including copilots, agents, plugins, and autonomous workflows. Through Xygeni DevAI and CoreAI, security teams can enforce guardrails, automate remediation, analyze business impact, and reduce operational overhead without slowing developer productivity.

With integrated malware detection, runtime-aware prioritization, SBOM generation, artifact attestation, anomaly detection, and CI/CD protection, Xygeni enables organizations to proactively secure software delivery from code to cloud while maintaining compliance with evolving security frameworks and software supply chain standards.