In the 1980s, the spreadsheet was considered such a valuable tool that would make buying a computer just to run it worthwhile. The term coined to describe such an application was a killer app. Is there an equivalent for Red Hat OpenShift? When it comes to tools that boost the value of the platform as a whole, we need to look at Red Hat OpenShift operators. There are generally speaking 2 types of operators. Some install and run an app (e.g., a database or a message queue) on an OpenShift cluster for you, then keep managing it by watching resources and acting automatically as needed. Others teac

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گاهی برای درک درست یک فناوری، باید کمی عقب‌تر برویم و به جای تمرکز صرف بر ابزارها، درباره معماری، انتخاب‌ها و پیامدهای فنی هر تصمیم صحبت کنیم.
سف یکی از همین فناوری‌هاست؛ پلتفرمی که در دنیای ذخیره‌سازی توزیع‌شده، انتخاب روش استقرار آن می‌تواند تأثیر مستقیمی بر پیچیدگی عملیاتی، قابلیت نگه‌داری، اتوماسیون و مدیریت زیرساخت داشته باشد.
📌 پنجشنبه در DevOps Community دور هم جمع می‌شویم تا درباره موضوعی فنی و کاربردی صحبت کنیم:
🔹 انواع Deployment در Ceph
در این جلسه، به سراغ روش‌های مختلف استقرار Ceph می‌رویم، تفاوت رویکردها را بررسی می‌کنیم و درباره مزایا، محدودیت‌ها و ملاحظات فنی هر روش گفت‌وگو خواهیم کرد.
هدف، صرفاً معرفی ابزارها نیست؛ بلکه تلاش می‌کنیم درک دقیق‌تری از انتخاب روش مناسب استقرار، متناسب با نیازها و شرایط عملیاتی هر زیرساخت، به دست بیاوریم.
من همیشه معتقدم کامیونیتی‌های فنی زمانی ارزشمندتر می‌شوند که دانش و تجربه، به‌جای محدود ماندن در تیم‌ها و سازمان‌ها، به اشتراک گذاشته شوند و زمینه‌ای برای یادگیری جمعی فراهم کنند.
اگر به Ceph، زیرساخت‌های ذخیره‌سازی توزیع‌شده و معماری دیتاسنتر علاقه‌مند هستید و دوست دارید بخشی از این مسیر یادگیری و تبادل تجربه باشید، به گروه خودتان ملحق شوید .


https://calendar.app.google/KEBKD1G2vdSskKWf9


#ceph #community

Vulnerabilities are easy to count. Meaningful risk is harder to measure.Open source has become the foundation of modern software because it works. Shared innovation, transparent development, global communities, and broad reuse let software advance at a scale no single organization could achieve alone.Security is part of that model. Open source development makes code available for inspection. Researchers can test it. Communities can improve it. Fixes can benefit everyone who depends on the software.The scale that makes open source powerful also makes security more complex. Modern applications c

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Red Hat is headed back to Boston for our annual keystone event – Red Hat Summit! We’re building an agenda of technical and non-technical content for our experienced audience and looking for our community of experts — customers, partners, and associates — to share their knowledge and experiences. The call for proposals is open now, from October 15 until November 30. Submit your session proposal today for a chance to present at Red Hat Summit, May 24 - 27, 2027 at the Boston Convention and Exhibition Center. Planning to submit? Be sure to focus on intermediate and advanced technical topi

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Open Source Security Signals | Q3 2026Red Hat's inaugural Open Source Security Signals report examines how the ecosystem identifies meaningful risk, remediates vulnerabilities, and delivers reusable fixes. Drawing on Lightwell data, it models how one shared remediation—such as for JAXB—can reduce duplicated engineering effort across the Java ecosystem. Learn more TechTarget - AI security projects deliver first fixes for vulnerable Java librariesChainguard's Athena and IBM and Red Hat's Project Lightwell have reported early results securing Java libraries as AI accelerates vulnerability dis

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#grow #alone
@unixmens

The Model Context Protocol (MCP) gateway is now generally available (GA) as part of the Red Hat Connectivity Link 1.5 release, and natively integrated into the Red Hat AI portfolio. This follows a successful technology preview, and expands Red Hat's enterprise AgentOps capabilities to govern AI agent tool traffic at scale. We've added new features, including gateway isolation, stateless session support, prompts and resources support, MCP guardrails, and security hardening to make it ready for production use.Gateway and MCP server isolationYou can cater to different teams and tenants in your or

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تکنولوژی های مدرنی که امروزه در سطح جهانی به کار می روند، قابلیت های بسیار بالایی در زمینه ارتباطات، ذخیره سازی داده ها و محاسبات را فراهم می کنند. به عنوان یک سازمان پویا و در حال توسعه، شما نیز می توانید از این تکنولوژی ها بهره مند شوید و با پیاده سازی یک شبکه مجازی تمام عملکردهای خود را به صورت دیجیتال و بهینه تر انجام دهید. با افتخار اعلام میکنیم که ما امکان پیاده سازی این ساختار ها را برای شما محیا کرده ایم .

ما این راهکار را بصورت متن باز و با کارایی بالا در اختیارتان قرار میدهیم .

با ما در تماس باشید ...
#bussiness #grow #sddc #service

https://t.me/unixmens

آیا اجرای اپلیکیشن‌های غیر Cloud-Native روی Kubernetes توجیه فنی و اقتصادی دارد؟
نویسنده : یاشار اسمعیل دخت

#devops #linux #odoo #k8s #design #engineering

https://t.me/unixmens

If you're a platform engineer, you've likely lived this: your team has assembled a toolchain for CI/CD, monitoring, security scanning, GitOps, and networking. Each tool does its specific job well, but over time, you realize you’re spending more hours maintaining the integrations between those tools than helping developers ship code. That's the real cost of tool sprawl. Yes, it’s increased licensing fees, but it’s also additional vendor relationships, constant integration maintenance, and multiple login screens for different dashboards. When something breaks, what should be a quick fix ca

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The patch was ready in days. It took months to ship. Why?I hear that question in nearly every customer conversation about vulnerability management. The honest answer is rarely “We didn’t know about it.” It’s “We knew, but getting it into production took longer than the exploit window.”That delay, the time between a patch’s release and it actually running in production across every exposed application, is one of the most overlooked metrics in managing enterprise risk. AI is collapsing time-to-exploit into hours, while many organizations still take 40 to 90 days to rebuild, validat

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Organizations running mission-critical workloads face a fundamental challenge: how to take advantage of Oracle Cloud Infrastructure's performance and economics without sacrificing the stability, security, and multicloud consistency that enterprise operations demand. Today, that challenge has a clear answer.Red Hat Enterprise Linux (RHEL) is now generally available as a native offering on the Oracle Cloud Infrastructure (OCI) Console, marking a significant milestone in the two-decade collaboration between Red Hat and Oracle.Hybrid cloud consistency built for seamless OCI migrationEnterprises ar

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When large open weight models first captured attention, the industry was faced with a challenge. Powerful open models were becoming available, but technologists lacked an open inference serving system that could run them efficiently. Having spent years building inference engines for CPUs, my team and I redirected all of our energy toward the vLLM project. Together with the community, vLLM capabilities expanded to become the de facto inference server. Today the vLLM project, now part of the PyTorch foundation, has a vibrant community of companies and developers actively adding support for new m

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The technologies that shape computing don't have to be built behind closed doors. Some of the most important foundations of modern software - from operating systems to cloud infrastructure - have grown through open source, where communities can collaborate, improve the technology, and build on shared foundations. AI has an opportunity to follow that path.The recent Linux Foundation research report, Navigating Open Source Software Development in the Generative AI Era, sponsored in part by Red Hat, offers useful evidence for thinking about what that foundation should look like. The research show

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When Delta Air Lines' Developer Experience team started measuring its Net Promoter Score (NPS), they faced a brutal reality: It was very low. Two years later, after deploying cloud development environments (CDEs) to more than 1,200 developers, that same team achieved:NPS improvement.Performance gains for developers switching from virtual desktop infrastructure (VDI). Reduced onboarding time from hours and weeks to minutes.Delta built its platform with Red Hat OpenShift Dev Spaces (cloud development environments) to solve traditional development problems like onboarding, dependency conflicts, a

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Deploying AI at the edge is both rewarding and challenging. In previous articles, you've seen how to optimize and package your edge AI models and how to execute them to fulfill common use case requirements at the edge, but there's more.In this article, we'll switch our focus from model and service architecture to the management questions that affect our edge AI use case once a model runs across thousands of devices. We'll answer questions such as: How do you know which version is running where? How do you update it without causing fleet-wide incidents? And how do you manage devices that are un

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Chat, batch, and agentic traffic can run on the same graphics processing unit (GPU) without the chatbot waiting for the batch job to complete. Built on llm-d flow control and generally available in Red Hat AI 3.5, priority-aware serving decides which request goes first when the pool is full, and applications change nothing. On a NVIDIA H100, 95% of premium requests got their first token in under half a second, and batch rejections fell from 48,224 to 0.Every separate pool pays for its own peakSooner or later, every shared inference platform gets the same question from 2 teams at once: Whose re

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