با مفهوم fitops و معنا آن آشنا شویم :

این مفهوم بیشتر به فلسفه Right-Sizing و Demand-Driven Ops در DevOps مربوط می‌شود؛ یعنی زیرساخت، تیم و فرایندها نه بزرگ‌تر از نیاز واقعی باشند و نه کوچک‌تر، بلکه به‌صورت پویا و تطبیقی با نیاز فعلی و پیش‌بینی آینده هماهنگ شوند.

مفهوم FitOps در DevOps

می‌توان گفت FitOps یک رویکرد عملیاتی است که تمرکزش روی تناسب بهینه منابع، فرایندها و ظرفیت تیم با نیاز واقعی کسب‌وکار و محصول است.

اصول اصلی:
1. Right-Sizing منابع
• استفاده از منابع (CPU، RAM، Storage، تعداد سرویس‌ها و حتی تعداد اعضای تیم) متناسب با بار واقعی و قابل پیش‌بینی.
• مثال: Auto Scaling در Kubernetes یا Cloud.
2. Avoid Overengineering
• ساختن سیستم‌های پیچیده‌تر از آنچه نیاز است، ممنوع!
• DevOps باید راهکار را ساده و مقیاس‌پذیر طراحی کند، ولی فقط به اندازه‌ای که اکنون و در آینده نزدیک لازم است.
3. Feedback Loop مداوم
• با مانیتورینگ و Observability، نیازها را به‌طور مستمر ارزیابی و منابع را تنظیم کنیم.
4. Elastic Processes
• فرایندها باید انعطاف‌پذیر باشند و با تغییر نیازهای محصول یا تیم، تغییر کنند (مثل CI/CD Pipelines که بتوانند سریع‌تر یا کندتر شوند).
5. Cost–Performance Balance
• شبیه FinOps، ولی با نگاه فنی: هدف رسیدن به بهترین کارایی با کمترین هزینه، نه صرفاً کم‌کردن هزینه.

ابزارها و تکنیک‌ها

برای اجرای FitOps در DevOps، معمولاً این‌ها استفاده می‌شوند:
• Kubernetes Horizontal/Vertical Pod Autoscaler → برای تنظیم پویا منابع
• Terraform + Monitoring Integration → برای تغییر سریع زیرساخت طبق بار
• Prometheus / Grafana → برای رصد دقیق و تصمیم‌گیری
• Load Testing (مثل k6, JMeter) → برای تعیین ظرفیت بهینه
• Service Mesh Metrics (مثل Istio) → برای بررسی واقعی مصرف سرویس‌ها

مزایا
• جلوگیری از هدررفت منابع و هزینه‌ها
• افزایش انعطاف‌پذیری تیم و زیرساخت
• پاسخ سریع‌تر به تغییرات نیاز بازار یا کاربران

#fitops #devops

https://t.iss.one/unixmens

Enterprise AI has reached a turning point. For years, organizations have invested heavily in artificial intelligence, launching countless pilot projects and experimental models. Many AI projects show promise, but scaling these successes, integrating AI into core operations, and consistently extracting value across the enterprise remain significant challenges.This is why an open, collaboratively-developed, standard AI operating system (AI OS) is vital. Built on open source technology, this system will provide the essential production and run time environment for customizing and running AI model

via Red Hat Blog https://ift.tt/omVIHLG

We're seeing a significant trend: more organizations are bringing their large language model (LLM) infrastructure in-house. Whether for latency, compliance, or data privacy, self-hosting with open source models on your own hardware puts you in control of your AI journey. However, scaling LLMs from experimentation to a production-grade service introduces significant cost and complexity.A new open source framework, llm-d, backed by a powerhouse of contributors including Red Hat, IBM, and Google, is designed to address these challenges. It focuses on the core of the problem: AI inference—the pr

via Red Hat Blog https://ift.tt/svlukLS

Red Hat Recognized as a Leader for Second Consecutive Year in 2025 Gartner® Magic Quadrant™ for Container ManagementRed Hat OpenShift was recognized for the solution’s Completeness of Vision and in Ability to Execute in the Container Management Magic Quadrant. According to Gartner, Leaders execute well against their current vision and are well positioned for tomorrow. Learn more Computerworld - Why your entire workforce should become AI expertsAI isn’t just for data scientists anymore. In this episode of Today in Tech, Red Hat Distinguished Engineer Mo Duffy discusses how businesses c

via Red Hat Blog https://ift.tt/0gRTWqp

For customers who want to step up their defenses against the next cyberattack wave or set of vulnerabilities, Red Hat is pleased to extend Technical Account Management (TAM) services by adding Technical Account Management Service for Product Security.Many Red Hat customers are familiar with TAM services. TAMs offer deep technical knowledge in their areas of specialty and act as trusted customer technical advisors. They develop personal relationships with customers to proactively drive the best possible product experience. Red Hat TAMs also advocate for customers with Red Hat product managers

via Red Hat Blog https://ift.tt/wJ3ZUmP

Red Hat OpenShift AI version 2.21 and later versions are now designed for Federal Information Processing Standards (FIPS). This achievement underscores our commitment to providing an enterprise-grade AI platform with a strong security posture that enables organizations to deploy and manage AI workloads with the highest levels of trust and compliance.This is the first in a 2-part blog series of the introduction of this new FIPS capability. Part 1 describes what’s being done with OpenShift AI, and part 2 will be a practical discussion of FIPS in AI platforms for the US Federal Sector. The bene

via Red Hat Blog https://ift.tt/l3FTVcm

#دانستنی های #گنو/ #لینوکس :


در واقع Tuned در لینوکس یک سرویس و مجموعه ابزار برای بهینه‌سازی خودکار عملکرد و مصرف انرژی سیستم است که می‌تواند پروفایل‌های آماده یا سفارشی را روی سخت‌افزار اعمال کند.

ایده اصلی Tuned این است که بسته به سناریوی کاری (سرور دیتابیس، ماشین مجازی، لپ‌تاپ، سیستم گرافیکی، ذخیره‌سازی و غیره)، سیستم را به‌طور پویا بهینه کند، بدون اینکه کاربر هر بار دستی پارامترها را تغییر دهد.

این تنظیمات می‌توانند شامل:

CPU governor و فرکانس پردازنده

زمان‌بندی I/O (I/O scheduler)

تنظیمات شبکه (TCP stack)

سیاست مصرف انرژی دستگاه‌ها (PCIe ASPM، SATA link power)

تنظیمات kernel sysctl

پارامترهای NUMA و حافظه


توی دنیای لینوکس، tuned-ppd یک "دیمنت پیاده‌سازی پل" (compatibility daemon) است که برای همگام‌سازی دو سیستم مدیریت پروفایل مصرف انرژی طراحی شده:

تعریف و هدف tuned-ppd

ا tuned-ppd وظیفه دارد تا API مورد استفاده توسط power-profiles-daemon (PPD) را به API سیستم TuneD ترجمه کند



نحوه عملکرد

برنامه‌هایی که با API قدرت قبلی (PPD) کار می‌کردند، اکنون از طریق tuned-ppd به TuneD متصل می‌شوند.



برای نمونه : من در لپ تاپ خودم با این ابزار میتونم . تنظیم کنم . تا چند درصد باطری را شارژ کامل کنه . تا باطری عمر بیشتری داشته باشه .

نکته : این قابلیت ها سخت افزاری هستند وباید تولید کننده لپ تاپ این قابلیت را بده .


برای مثال : لپ‌تاپت من Lenovo Ideapad هست و با درایور ideapad_laptop کار می‌کنه.

این درایور فقط یک حالت conserve mode (روشن/خاموش) داره، یعنی:

0 → خاموش، باتری تا 100٪ شارژ میشه.

1 → روشن، باتری حداکثر تا حدود ~55–60٪ شارژ میشه (محدوده دقیق وابسته به مدل و firmware هست)


--- TLP 1.7.0 --------------------------------------------



+++ Battery Care

Plugin: lenovo

Supported features: charge threshold

Driver usage:

* vendor (ideapad_laptop) = active (charge threshold)

Parameter value range:

* STOP_CHARGE_THRESH_BAT0: 0(off), 1(on) -- battery conservation mode

اما tlp :



یک ابزار تخصصی مدیریت مصرف انرژی در لینوکس است که برخلاف Tuned که بیشتر روی بهینه‌سازی کلی سیستم (CPU، I/O، Network، Memory) تمرکز دارد، بیشتر تمرکزش روی بهینه‌سازی مصرف باتری و افزایش طول عمر آن است، مخصوصاً برای لپ‌تاپ‌ها.

هدف TLP این است که:

عمر باتری لپ‌تاپ را افزایش دهد (Battery Longevity)

زمان کارکرد روی باتری را بیشتر کند (Battery Runtime)

بدون نیاز به تغییر دستی تنظیمات، بهترین تعادل بین مصرف انرژی و کارایی را پیدا کند.

ا TLP بعد از نصب و فعال‌سازی، به‌صورت خودکار با توجه به وضعیت سیستم (وصل بودن به برق یا کار روی باتری) تنظیمات بهینه را اعمال می‌کند.


تنظیم CPU frequency scaling governor

تنظیم PCI Express ASPM برای کاهش مصرف برق قطعات PCIe

خاموش‌کردن پورت‌های USB در حالت بیکار (USB autosuspend)

خاموش یا کم‌کردن توان Wi-Fi و Bluetooth در حالت باتری

تنظیم پارامترهای SATA link power management

کنترل GPU power saving (برای Intel، NVIDIA و AMD)

مدیریت Battery charge thresholds (در لپ‌تاپ‌هایی که پشتیبانی می‌کنند، مثل Lenovo/Dell/ASUS)

تغییر تنظیمات kernel power management



unixmens

#linux #kernel #tlp #tuned #performance
#tune


https://t.iss.one/unixmens

🌐 معاون ارتباطات دفتر رئیس جمهور: وعده رفع فیلترینگ در مسیر انجام است

🔘طباطبایی:

یک دستور جدی داده شده و یک کمیته در حال بررسی است که ملاحظات منطقی کسانی که قائل به فیلترینگ‌اند شنیده و رفع بشود

انتظار مردم این بود که زودتر این اتفاق بیفتد ولی این وعده انجام می‌شود.

As a global organization with employees and customers scattered around the world, Red Hat recognizes that there are a multitude of compliance mandates that different regions or industries need to adhere to. This post provides some important updates around recent certifications or validations that various releases of Red Hat Enterprise Linux (RHEL) support have obtained. Federal Information Processing Standards 140 (FIPS 140)The Federal Information Processing Standards (FIPS) were developed by the National Institute of Standards and Technology (NIST) to establish a set of practices for nonmilit

via Red Hat Blog https://ift.tt/cXNH38e

We’ve shared how it started "Blog #1: The Hope", where it broke "Blog #2: The Crash", and what we’re doing differently "Blog #3: Iterate with Intention". This last piece is for anyone trying to lead through the messy middle.This isn’t a teardown or a tutorial. It’s a field note, a reflection on what it actually takes to manage AI projects inside complex organizations, especially when the systems are messy, content is nuanced, and the use case isn’t clear.You won’t find a perfect framework here, because most of the time, one doesn't exist. However, you will find lessons we learned w

via Red Hat Blog https://ift.tt/cEOqg89

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.At Red Hat Summit 2025, we announced the latest version of the world’s leading enterprise Linux platform: Red Hat Enterprise Linux (RHEL) 10. This release was much more than a few minor enhancements or feature additions; RHEL 10 delivers AI-powered Linux management, post-quantum cryptography capabilities and containers as the native languag

via Red Hat Blog https://ift.tt/WdLVpyw

The biggest challenge for disaster recovery in traditional environments is that every environmentlooks and feels different.If you're moving from a colo that someone manages to VMware, the cloud, or a differentVMware data center, they all look and feel different.Even if you're using the same virtualization provider, storage is probably handled differently. There has to be a lot of planning and strategy around how to copy data from one area to another since that’s not something natively built into your virtualization provider.You also have to figure out networking, DNS, routing, etc.With Red H

via Red Hat Blog https://ift.tt/qn9wXrF

Your Citrix Virtual Desktop Infrastructure (VDI) is essential to your infrastructure, but is your underlying platform hindering its potential? Imagine what more could be possible if you ran your mission-critical VDI on a modern virtualization platform built for agility, automation, and choice. Red Hat OpenShift Virtualization, built on the open source KubeVirt project, allows you to migrate and manage VMs on a modern, cloud-native platform.The new support for Citrix Virtual Apps and Desktops on OpenShift Virtualization allows you to change hypervisors without disrupting Citrix workflows. This

via Red Hat Blog https://ift.tt/OIwqFse

The infrastructure decisions you make today shape your organization's flexibility tomorrow. But for many IT leaders, the challenge isn't choosing the next technology, it's figuring out how to move forward without breaking what already works.This is where implementing Red Hat OpenShift Virtualization as the foundation for Citrix Virtual Apps and Desktops makes a difference. It brings together Citrix's proven desktop delivery model with OpenShift's modern virtualization layer. The result is a unified, cloud-ready platform that supports your existing Citrix workloads while opening the door to sma

via Red Hat Blog https://ift.tt/xmybB9M

When we started designing our Red Hat Summit 2025 session with Mark Cheshire and Bernard Tison, Optimize your architecture for the next wave of AI-infused applications, we faced two realizations.One was that in order to talk about what type of architectures are required to develop and scale AI applications, including agents and agentic AI, we needed to provide some context about the evolution of architectures. This was important because we believe that there is no need to throw everything out and start afresh for AI apps. Rather, our premise was that you will succeed by thinking about this as

via Red Hat Blog https://ift.tt/5TBpYGP

Generative AI (gen AI) has the potential to significantly improve customer engagement, reduce costs, and boost productivity. However, many enterprises struggle to move beyond initial experiments to widespread and scalable implementations. This article examines 6 common obstacles to enterprise AI adoption—as highlighted in this Harvard Business Review report—and how Red Hat can help you overcome them.1. Defining a strategic path and clear business value for AIMany organizations initiate gen AI projects without a defined strategy or roadmap. This can lead to fragmented efforts that make it d

via Red Hat Blog https://ift.tt/P8VxtnD

Red Hat makes it a strategic priority to offer energy-efficient products, addressing the growing demand of our customers for sustainable IT solutions. Our efforts are driven by minimizing the increase in energy consumption of AI, cloud computing, and IT infrastructure.Red Hat's solutions for energy efficiencyRed Hat focuses on open source technologies designed to improve energy efficiency across IT environments. This includes:AI optimization: With Red Hat AI, you have access to Red Hat AI Inference Server to optimize model inference across the hybrid cloud for faster, cost-effective deployment

via Red Hat Blog https://ift.tt/zZFSuQR