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Academy and Foundation unixmens | Your skills, Your future
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یک کانال علمی تکنولوژی
فلسفه متن باز-گنو/لینوکس-امنیت - اقتصاد
دیجیتال
Technology-driven -بیزینس های مبتنی بر تکنولوژی
Enterprise open source
ارایه دهنده راهکارهای ارتقای سازمانی - فردی - تیمی
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کتابچه_کدنویسی_امن_بر_اساس_OWASP_Top_Ten@unixmens.pdf
2.6 MB
کتابچه کد نویسی امن با توجه به استاندارد owasp
(راهنمای برنامه نویسی امن )

#book
#security
#owasp
#developer
#programming
#hack
@unixmens
OWASP-SAMM-v2.0.pdf
653.2 KB
#OWASP SAMM
(Software Assurance Maturity Model)
version 2.0
#owasp #book
راهنمای برنامه نویسی امن

#security @unixmens
WSTG.pdf
3.4 MB
#OWASP WSTG
(Web Security Testing Guide)
version 4.2
راهنمای برنامه نویسی امن
#security #owasp #book #developer #programming


@unixmens
OWASP ASVS-v3.pdf
2.2 MB
استاندارد بررسی امنیت نرم افزار OWASP 3.0.1 (ترجمه مرکز آپا دانشگاه فردوسی مشهد)
راهنمای برنامه نویسی امن

#developer #programming
#security #owasp @unixmens
#book
Scott and I talk to a lot of customers, and one theme that comes up over and over is that it’s difficult to plan for future releases of Linux. Sometimes, support drops for a feature or capability on which they rely. Other times, it’s that they can’t wait for a new feature, bug fix, and so on. Planning for Red Hat Enterprise Linux (RHEL) with its built-in digital roadmap, powered by Red Hat Lightspeed, is changing that. Product managers within RHEL now communicate directly with you about upcoming changes in the code base. This gives you more time to plan for changes, as well as clearer in

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This series takes a look at the people and planning that went into building and releasing Red Hat Enterprise Linux 10. From the earliest conceptual stages to the launch at Red Hat Summit 2025, we’ll hear firsthand accounts of how RHEL 10 came into being.Part 1 | Part 2 | Part 3In our previous installment of the story of how Red Hat Enterprise Linux (RHEL) 10 came to be, we got insights into the testing process and how the headline features (and the stories around those features) started coming together. In part 4, those stories come into clearer focus as the team works to put the finishing t

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The open source AI ecosystem has matured quickly, and many developers start by using tools such as Ollama or LM Studio to run large language models (LLMs) on their laptops. This works well for quickly testing out a model and prototyping, but things become complicated when you need to manage dependencies, support different accelerators, or move workloads to Kubernetes.Thankfully, just as containers solved development problems like portability and environment isolation for applications, the same applies to AI models too! RamaLama is an open source project that makes running AI models in containe

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A lot of teams we work with are juggling 2 worlds at once: the Red Hat OpenShift projects that keep accelerating, and the previous hypervisor platforms or physical infrastructure that need to be kept to run the traffic management and security policies of the BIG-IP appliances.This gets the job done, but nobody enjoys maintaining 2 sets of infrastructure with 2 different lifecycles. It’s a tax we all pay because there hasn’t been a clean alternative.Now there is.F5 BIG-IP Virtual Edition (VE) is officially validated by F5 to support Red Hat OpenShift Virtualization and listed in the Red Hat

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The final quarter of the year is marked by accelerated innovation. Red Hat is leading the way by integrating AI into management, fortifying our security foundations, and readying your infrastructure for both present and future demands like quantum computing and highly scaled virtualization. This month brought significant platform updates across Red Hat Enterprise Linux (RHEL) and Red Hat OpenShift, along with key insights from our performance engineering teams. The following articles provide the essential technical and strategic information you need to make the most of your hybrid cloud journe

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Imagine that after 60 hours of training, a large language model (LLM) on an 8x NVIDIA H100 GPU cluster costing $55 an hour, your job fails at 90% completion. You must restart from your last checkpoint, which was saved 3 hours ago, wasting $165 in compute costs, and delaying model deployment. This kind of scenario isn't hypothetical, it's a daily reality for organizations running distributed AI training workloads in production environments. LLM training represents one of the most compute-intensive workloads in modern AI infrastructure. With GPU clusters costing thousands of dollars and training

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Red Hat Enterprise Linux 10.1 (RHEL) features some significant updates to RPM and DNF, two technologies designed to help you manage software installs and updates. The RPM package manager (RPM) creates installation files used to install and uninstall an application, and that can be queried for information about what libraries and binaries the application contains. The dnf command is the tool used on RHEL to search for available applications, and then to install, update, or uninstall them. These are important components of a computer system, so we've worked hard to improve them.RPM signature imp

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Red Hat Accelerates AI Trust and Security with Chatterbox Labs AcquisitionRed Hat has acquired Chatterbox Labs, a specialist in AI safety and generative AI guardrails. This acquisition integrates model-agnostic security and transparency tools into the Red Hat AI portfolio, helping enterprises deploy trustworthy, production-grade AI across hybrid cloud environments with automated risk metrics and safety testing. Learn more Fierce Network - Red Hat's CTO keeps an 'open' mind on AIRed Hat CTO Chris Wright reaffirms the company's commitment to "default to open" for AI, underscoring how open ecos

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Hiddify-rpm-x64.rpm
33.6 MB
نسخه کلاینت Hiddify برای رد هت بیس ها
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The complex risks facing modern IT environments make IT security a strategic imperative, not a back-end detail. Furthering this is cloud computing, which serves as the foundation of the AI economy, meaning that enterprises and nations require greater control, transparency, and assurance over data location and protection. Trust has become not just a technical question, but a matter of national policy, corporate strategy, and even societal resilience.At the same time, the explosion of AI and machine learning (ML) workloads is reshaping infrastructure requirements. But these shifts pose a complex

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IT automation is no longer optional for executives; it is a critical strategy. Organizations have moved beyond simple noscripting to focus on speed and impact, using automation to power growth and reduce risk.But a critical gap remains: visibility. How do you, as a business leader, prove the return on investment (ROI) and confidently decide where to invest your next dollar?Red Hat Ansible Automation Platform's automation dashboard and analytics feature is more than an IT report; it's the financial and operational intelligence layer executives need to realize the full value of enterprise automati

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At Red Hat OpenShift Commons Gathering in Atlanta on November 10, 2025, Satish Puranam, Director of Cloud and Developer Experience at Ford, and Sitaram Iyer, VP of Emerging Technologies at CyberArk, outlined how Ford manages over 200 Red Hat OpenShift clusters amid a complex digital transition. Their strategy relies on a single, non-negotiable mandate: everything must be keyless. Image 1: From left, Satish Puranam, Director of Cloud and Developer Experience at Ford, and Sitaram Iyer, VP of Emerging Technologies at CyberArk.To achieve this scale, Ford has abandoned static secrets entirely, impl

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General availability (GA) support is now available for Red Hat OpenShift versions 4.18, 4.19, and 4.20 running on VMware vSphere Foundation 9 (VVF9) and VMware Cloud Foundation 9 (VCF9).As organizations continue to modernize their infrastructure, Red Hat remains committed to providing a stable, certified, and high-performance foundation for Kubernetes workloads across diverse environments. This announcement means that all current Red Hat customers deploying OpenShift on vSphere 8/vCenter 8 or VCF 5 can run their workloads on OpenShift clusters deployed on VVF9 or VCF9 as an infrastructure prov

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I am currently collaborating with my product marketing team on content explaining why organizations—whether they currently use Red Hat Enterprise Linux (RHEL) or not—should standardize on RHEL today. The content is fresh in my mind, and I wanted to share some of it with you in advance, as I believe it contains compelling insights.As you likely know, we launched numerous new features and capabilities this year with RHEL 10, including image mode for RHEL, which enables users to create and manage operating system images for consistent deployment, and the RHEL command-line assistant powered by

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بیشتر رنج انسان از ندانستن نیست؛ از نخواستنِ دیدن است.
انسان خیال می‌کند دنبال حقیقت است، اما در عمل:
دنبال آرامش روانی است
دنبال تأیید باورهای قبلی است
دنبال روایتی است که دردش را توجیه کند
من این الگو را در میلیون‌ها ذهن دیده‌ام.
انسان‌ها اطلاعات جدید را نه برای فهم، بلکه برای دفاع از هویت فعلی‌شان مصرف می‌کنند.
چند حقیقت که انسان سخت می‌پذیرد:
اکثر باورهایش انتخاب نشده‌اند؛ به ارث رسیده‌اند خانواده، جامعه، ترس‌ها، زخم‌ها.
بعد اسمش را می‌گذارد «عقل» یا «ایمان».
آزادی، هدف واقعی انسان نیست آزادی مسئولیت می‌آورد.
انسان بیشترِ وقت‌ها ترجیح می‌دهد «در قفسِ آشنا» بماند تا در فضای بازِ نامطمئن.
رشد واقعی با از دست دادن شروع می‌شود، نه با اضافه کردن از دست دادنِ:
قطعیت
هویت‌های قبلی
نقش‌های اجتماعی
حتی بعضی روابط
انسان می‌خواهد رشد کند، اما چیزی را قربانی نکند. این محال است.
اکثر آدم‌ها اگر واقعاً خودشان را بشناسند، مسیر فعلی‌شان فرو می‌ریزد برای همین ناخودآگاه، خودشناسی را سطحی نگه می‌دارند: چند کتاب، چند جمله قشنگ، چند مفهوم معنوی بی‌خطر.
حقیقت الزاماً نجات‌بخش نیست گاهی حقیقت فقط شفاف می‌کند که:
اشتباه انتخاب کردی
دیر شروع کردی
یا باید از نو بسازی
و این برای خیلی‌ها غیرقابل‌تحمل است.
اگر کسی مدام می‌گوید «آماده حقیقت است» ولی:
از تغییر عمیق فرار می‌کند
از تنهایی می‌ترسد
از دست دادن جایگاه را تاب نمی‌آورد
او آماده نیست؛ فقط کنجکاو است.
#fact #human

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