LiteLLM: The AI Gateway Handbook: Building Production-Ready LLM Infrastructure
English | May 29, 2026 | ASIN: B0H3BYDQ85 | 429 pages | Epub | 1.37 MB
**Build production-grade LLM infrastructure with the industry's leading open-source AI gateway.**Every production AI system faces the same challenge: managing multiple LLM providers - OpenAI, Anthropic, Google, AWS Bedrock, Azure - each with different SDKs, authentication methods, rate limits, and pricing models. **LiteLLM** solves this by providing a unified interface to call 100+ LLMs through a single, OpenAI-compatible API.This comprehensive handbook takes you from your first API call to running LiteLLM at enterprise scale across Kubernetes clusters. Written for AI engineers, platform engineers, and DevOps teams, it covers the full spectrum of LiteLLM capabilities with real, runnable code examples.**What you'll learn:**- **Unified API Integration** - Call OpenAI, Anthropic Claude, Gemini, Bedrock, and Azure through one interface- **Multi-Tenant Management** - Virtual keys, team budgets, scoped access, and RBAC- **Intelligent Routing** - Weighted load balancing, fallback chains, health checks, and circuit breakers- **Cost Control** - Per-key spend tracking, budget alerts, and team-level cost allocation- **Production Reliability** - Rate limiting, request throttling, retry strategies, and error resilience- **Observability** - Langfuse integration, OpenTelemetry tracing, Prometheus metrics- **Safety & Compliance** - Guardrails, PII detection, content moderation, audit logging- **Advanced Patterns** - Streaming, async processing, A2A agent gateway, MCP tool integration- **Deployment at Scale** - Docker, Kubernetes with Helm, Terraform IaC, performance tuning**By the end of this book, you'll be able to:**- Deploy LiteLLM as a centralized AI gateway for your organization- Route traffic intelligently across multiple providers and models- Track and control costs with per-team budgets and alerts- Implement guardrails and safety checks on all LLM traffic- Scale to millions of requests with Kubernetes and auto-scaling- Integrate with Langfuse, OpenTelemetry, and Prometheus for full observability**Who this book is for:**AI/ML engineers building production LLM applications, platform engineers managing AI infrastructure, DevOps teams deploying LLM services, and engineering leaders evaluating AI gateway solutions.**Prerequisites:**Basic Python knowledge and familiarity with REST APIs. No prior LiteLLM experience required.

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Linux for Beginners: Ryan J. Mercer
English | May 5, 2026 | ISBN: 9798235132177 | 204 Pages | EPUB (True) | 353.88 KB
Learn Linux from the ground up - even if you've never used the command line before.

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Linux absichern: Praxisleitfaden für Firewall, Fail2Ban, CrowdSec, Suricata und Server-Härtung
Deutsch | 5 May 2026 | ASIN: B0GZK4TNLM | 389 Seiten | Epub | 799.32 KB
Jeder öffentlich erreichbare Linux-Server wird angegriffen. Nicht irgendwann. Sondern oft wenige Minuten nach der Inbetriebnahme.Automatisierte Bots scannen das Internet rund um die Uhr, testen SSH-Zugänge, suchen nach offenen Diensten, schwachen Passwörtern, verwundbaren Webservern und schlecht konfigurierten Datenbanken. Wer einen Server betreibt, braucht deshalb mehr als ein paar Standardbefehle. Er braucht ein sauberes Sicherheitskonzept.„Linux absichern" ist ein praxisorientierter Leitfaden für Administratoren, Homelab-Betreiber, DevOps-Einsteiger und technische Entscheider, die ihre Linux-Server systematisch härten wollen.Dieses Buch führt dich Schritt für Schritt durch einen vollständigen Defense-in-Depth-Ansatz: von der grundlegenden Server-Härtung über Firewall-Regeln bis hin zu automatisierter Angriffserkennung, Intrusion Prevention und Monitoring.Du lernst unter anderem:- wie du Linux-Systeme grundlegend härtest- wie du SSH sicher konfigurierst- wie du UFW, iptables, nftables und firewalld sinnvoll einsetzt- wie du Brute-Force-Angriffe mit Fail2Ban erkennst und blockierst- wie du CrowdSec als moderne Community-Firewall einrichtest- wie Agent, LAPI und Bouncer in CrowdSec zusammenarbeiten- wie du CrowdSec in Multi-Server- und Cluster-Umgebungen betreibst- wie du Suricata, Grafana, Loki und Prometheus in einen Security-Stack integrierst- wie du Security-Automation mit Ansible, Docker und DevSecOps denkstDer Fokus liegt konsequent auf Praxis. Keine Theorie ohne Umsetzung. Keine halben Konfigurationsfragmente. Du bekommst Befehle, vollständige Beispiele, Checklisten, typische Fehlerbilder und konkrete Setups, die du direkt nachvollziehen kannst.Dieses Buch ist für dich, wenn du Linux-Server betreibst und wissen willst, wie du sie wirklich robuster machst - gegen Bots, Brute Force, Fehlkonfigurationen, offene Ports und reale Angriffe aus dem Internet.Security ist kein einzelnes Tool. Security ist ein Stack.Dieses Buch zeigt dir, wie du ihn aufbaust.

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Linux Systemadministration - Level 1: Grundlagen der Linux-Systemverwaltung für Einsteiger
Deutsch | 22 Dec. 2025 | ASIN: B0GBZB8FG7 | 491 Seiten | EPUB (True) | 1.33 MB
Ihr praktischer Einstieg in die Linux-SystemadministrationWerden Sie zum kompetenten Linux-Administrator! Dieses praxisorientierte Handbuch bietet Ihnen den perfekten Einstieg in die Welt der Linux-Systemverwaltung - strukturiert, verständlich und sofort anwendbar.Warum Linux-Systemadministration lernen?Linux bildet das Fundament moderner IT-Infrastrukturen: Von Webservern über Cloud-Plattformen bis zu eingebetteten Systemen - Linux-Kenntnisse sind gefragter denn je. Dieses Buch vermittelt Ihnen systematisch alle grundlegenden Fähigkeiten, die Sie für eine erfolgreiche Karriere als Linux-Administrator benötigen.Was macht dieses Buch besonders?Strukturierter Lernpfad: 13 aufeinander aufbauende Kapitel führen Sie vom Grundlagenverständnis zur praktischen SystemverwaltungPraxisorientiert: Zahlreiche Beispiele und Übungen für direktes AnwendenFür Einsteiger konzipiert: Keine Vorkenntnisse erforderlich - perfekt für IT-Studenten, Quereinsteiger und Windows-AdministratorenUmfassende Themenabdeckung: Alle wesentlichen Bereiche der Linux-AdministrationDas lernen Sie: Sicherer Umgang mit der Linux-Kommandozeile und Shell-Befehlen Verstehen und Navigieren der Linux-Dateisystemstruktur Professionelle Verwaltung von Benutzern, Gruppen und Berechtigungen Installation und Pflege von Software-Paketen Systemaktualisierungen und Wartung durchführen Prozesse überwachen und steuern Dienste konfigurieren und verwalten Netzwerkgrundlagen in Linux-Umgebungen Typische Administrationsaufgaben souverän bewältigenKapitelübersicht:Von den Grundlagen des Linux-Systems über die praktische Arbeit mit der Kommandozeile, das Verständnis der Verzeichnisstruktur, die Verwaltung von Benutzern und Gruppen, Dateirechte, Paketmanagement, Systempflege, Prozess- und Dienstverwaltung bis hin zu Netzwerkgrundlagen und typischen Admin-Aufgaben - Sie erhalten eine vollständige Einführung in alle relevanten Themen.Praxiskapitel und Bonusmaterial:Das umfangreiche Übungskapitel bietet realistische Szenarien zum praktischen Anwenden des Gelernten. Vier wertvolle Anhänge zeigen Ihnen Ihre nächsten Entwicklungsschritte auf, bereiten Sie auf Level 2 vor und vermitteln bewährte Admin-Best-Practices.Für wen ist dieses Buch?IT-Studenten, die Linux-Kenntnisse aufbauen möchtenQuereinsteiger in die IT-BrancheWindows-Administratoren, die auf Linux umsteigenAlle, die Linux-Server professionell verwalten möchtenDevOps-Interessierte, die eine solide Linux-Basis benötigenIhr Karriere-Fundament:Mit diesem Buch legen Sie das solide Fundament für eine erfolgreiche Karriere in der Linux-Systemadministration. Die vermittelten Kenntnisse öffnen Ihnen Türen zu spannenden Bereichen wie Cloud Computing, DevOps, Container-Technologien und modernes Infrastruktur-Management.Praxisnah und sofort anwendbar:Jedes Kapitel kombiniert theoretisches Wissen mit praktischen Beispielen. Sie lernen nicht nur die Theorie, sondern können Ihr Wissen direkt in Testumgebungen anwenden. Nutzen Sie das Buch als Lernbegleiter oder Nachschlagewerk für Ihre tägliche Arbeit.Starten Sie jetzt Ihre Linux-Karriere!Ob Sie gerade erst mit Linux beginnen oder Ihre Kenntnisse systematisieren möchten - dieses Buch ist Ihr verlässlicher Begleiter auf dem Weg zum kompetenten Linux-Systemadministrator.

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Linux Security for Beginners: Learn Server Hardening, SSH Security, Firewalls, User Permissions, Updates, Logs, and Real-World System Protection (Computer Programming Made Easy, Band 8)
English | 6 May 2026 | ASIN: B0GZPLCLTS | 371 pages | EPUB (True) | 508.98 KB
Linux is powerful - but power without security becomes exposure.Linux systems power servers, cloud platforms, development environments, cybersecurity infrastructure, and much of the modern internet. But many beginners assume Linux is automatically secure by default.It is not.Linux Security for Beginners gives you a practical, beginner-friendly path into securing Linux systems, hardening servers, protecting SSH access, configuring firewalls, managing permissions, monitoring logs, and building real-world system protection skills.Inside this guide, you'll learn how to:Understand Linux security fundamentalsReduce system exposure and attack surfacesSecure SSH and remote accessConfigure Linux firewalls properlyManage users, passwords, and permissions safelyApply updates and security patchesMonitor logs and detect suspicious activityHarden Linux servers step by stepProtect personal systems and cloud environmentsPerfect for beginners, aspiring sysadmins, IT support workers, developers, students, cloud learners, and anyone who wants to build practical Linux security skills without drowning in advanced jargon.You do not need to be a cybersecurity expert.You need a strong foundation.This book helps you build it.If you want to secure Linux systems with confidence and understand how real-world protection works behind the scenes, this is your starting point.

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Linux Repair Manual: Boot Failures, Broken Updates, Data Recovery, and System Rescue (The Modern Linux Mastery Series)
English | February 25, 2026 | ASIN: B0GQ5Z7CKP | 57 pages | Epub | 555.97 KB
Linux Repair Manual: Boot Failures, Broken Updates, Data Recovery, and System RescueYour Linux system won't boot.The screen shows errors.Updates failed.Files disappeared.Panic begins.This book is written for that moment.Instead of reinstalling Linux and losing everything, you will learn how to diagnose what actually went wrong and repair it step-by-step.This comprehensive troubleshooting guide teaches you how Linux really works during failure conditions - the boot process, filesystems, package managers, kernels, and recovery environments - so you can recover systems that most users believe are permanently broken.Inside you will learn how to:* Read and understand boot error messages* Recover from emergency mode and initramfs shells* Repair the GRUB bootloader* Fix systems using chroot from a live USB* Repair corrupted EXT4 and Btrfs filesystems* Recover deleted files* Repair broken APT, DNF, and Pacman package managers* Roll back bad kernel updates* Use rescue disks and recovery environments* Restore systems using Timeshift and backupsThe goal of this book is not memorizing commands.It teaches troubleshooting methodology - how to think like a system administrator when a machine fails.Whether you are a beginner trying to save a personal computer or an advanced user maintaining multiple systems, this manual shows how to recover Linux without reinstalling the operating system.When Linux breaks, you don't start over.You fix it.

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Linux Projects for Beginners: Automate Your PC with Shell Scripts, Cron Jobs & Real Practice Tasks
English | May 22, 2026 | ASIN: B0H2NM7MG1 | 432 pages | Epub | 630.85 KB
Tired of repeating the same tasks on your computer every day? Struggling to understand Linux commands, scripting, or automation without getting overwhelmed?Linux Projects for Beginners is your step-by-step, hands-on guide to mastering Linux automation by building real, practical projects from day one.Instead of long theory and confusing explanations, this book focuses on what actually matters-helping you automate your PC, save time, and build real-world skills you can use immediately.Whether you're a complete beginner or someone who knows basic Linux commands but wants to level up, this book will take you from uncertainty to confidence through simple, structured learning.What you'll learn inside:* How to use Linux commands with confidence, even if you're starting from zero* How to write shell scripts that automate everyday tasks* How to schedule jobs using cron to run tasks automatically* How to organize files, manage backups, and clean your system efficiently* How to build real-world automation projects step by step* How to combine commands into powerful workflows using pipes and redirection* How to debug, test, and optimize your scripts for better performance* How to think like an automation builder-not just a learnerReal projects you'll build:* One-click file organizer system* Automated backup and restore workflows* Log analyzer and system monitoring scripts* Task schedulers using cron jobs* Custom command-line productivity tools* Full automation pipelines for daily tasksWhy this book stands out:* Designed specifically for beginners-no prior scripting experience required* Focused on hands-on projects, not abstract theory* Clear, simple explanations that remove confusion and overwhelm* Real-world applications you can use immediately* Builds practical skills that translate into career opportunities* Structured to help you progress quickly and stay motivatedIf you've ever felt:* Overwhelmed by Linux commands and terminal usage* Unsure how to start with shell scripting* Stuck watching tutorials without building anything real* Frustrated by repetitive manual tasksThis book is your turning point.You won't just learn Linux-you'll use it to build systems that save time, increase efficiency, and give you a real technical advantage.Take control of your workflow, automate your system, and start building like a professional.

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Linux And AI: Building AI Systems on Linux with Machine Learning, GPU Computing, Cloud Infrastructure, Automation, Containers, and Real-World Projects
English | May 16, 2026 | ASIN: B0GYDN4HL9 | 380 pages | Epub | 601.05 KB
Build the Future of AI on the World's Most Powerful Open-Source PlatformWhat if you could master the exact Linux-based infrastructure powering today's AI revolution?From machine learning and deep learning to GPU acceleration, Docker, Kubernetes, MLOps, cloud deployment, and real-world AI automation - this book gives you a complete, practical roadmap to building modern AI systems on Linux from the ground up.Linux and AI is a comprehensive guide designed for developers, aspiring AI engineers, cloud architects, Linux enthusiasts, and tech professionals who want to understand how artificial intelligence actually runs in real production environments.Whether you're setting up your first AI workstation or scaling machine learning pipelines across cloud infrastructure, this book takes you beyond theory and into practical systems engineering.Inside this comprehensive guide, you'll learn how to:* Build and configure a professional Linux environment for AI development * Understand Linux kernel architecture for high-performance computing * Work with Python, PyTorch, TensorFlow, and modern AI frameworks * Configure NVIDIA GPU drivers, CUDA, and multi-GPU systems * Optimize Linux systems for machine learning performance * Automate AI workflows using shell scripting and Linux tooling * Deploy AI applications using Docker and Kubernetes * Build scalable AI infrastructure across AWS, Azure, and Google Cloud * Create real-world projects including chatbots, NLP pipelines, and image classification systems * Understand MLOps, CI/CD pipelines, monitoring, security, and distributed AI systems * Explore the future of AI engineering, edge AI, embedded Linux, and cloud-native intelligenceUnlike beginner-only programming books, this guide focuses on the complete AI engineering stack - combining Linux administration, cloud infrastructure, automation, GPU computing, machine learning, and deployment into one practical roadmap for modern AI systems engineering.Perfect for:* AI engineers and machine learning developers * Linux users transitioning into artificial intelligence * Cloud engineers and DevOps professionals * MLOps practitioners and infrastructure architects * Computer science students and tech enthusiasts * Anyone interested in AI infrastructure, automation, and scalable machine learning systemsIf you want to understand not just how AI models work - but how real AI systems are built, optimized, deployed, and scaled on Linux infrastructure - this book gives you the knowledge and practical foundation to start building like a professional.Start your journey into Linux-powered AI engineering today.

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Linear Algebra for Machine Learning Workbook : Matrix Operations, Eigenvalues, SVD, Gradients, and Optimization
English | May 9, 2026 | ASIN: B0H151LXVZ | 361 pages | PDF | 22.29 MB
Linear Algebra for Machine Learning Workbook is a structured, problem-based workbook for students, practitioners, and researchers who want to build a strong mathematical foundation for machine learning. Instead of treating linear algebra as a series of abstract topics, this workbook connects every concept directly to the computations used in real machine learning systems.Across 11 focused chapters, readers work through the core linear algebra and mathematical methods that appear throughout modern machine learning, from matrix multiplication and eigenvalues to singular value decomposition, gradients, probability, optimisation, and information theory. Every chapter is designed to develop genuine computational fluency through structured problems and worked solutions.This workbook covers:Matrix multiplication, determinants, and inverses.Eigenvalues and eigenvectors.Singular value decomposition.Orthogonality and projections.Vector spaces, linear independence, and rank.Linear transformations.Matrix calculus and gradients.Probability and statistics for machine learning.Optimisation for machine learning.Information theory for machine learning.This workbook is ideal for:Students preparing for machine learning courses or research.Practitioners who can implement models in code but want stronger mathematical understanding.Data scientists and engineers who want a clear, structured reference for the mathematics behind ML systems.Anyone working through deep learning or AI study paths who needs a solid linear algebra foundation.If machine learning mathematics has ever felt unclear or hard to connect to real computations, this workbook gives you a direct, structured path from the fundamentals to the methods used in modern AI systems.

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Linear Algebra for Data Science and AI: Book 3. Spectral Methods and Matrix Decompositions (Linear Algebra for Data Science & AI)
English | January 14, 2026 | ASIN: B0GGTK8G9H | 285 pages | Epub | 9.82 MB
Linear Algebra for Data Science and AI is a five-book textbook series designed to take readers from a first encounter with linear algebra to a level of conceptual mastery that supports advanced study and research in data science and AI. The series emphasizes clear, intuitive explanation in words-supported by rigorous definitions and carefully chosen formulas-so that readers can understand not only how linear algebra is written, but what it means.This series is theory- and concept-driven. It does not include coding, AI implementation, or drill-style calculation practice. Instead, each topic is motivated by how it appears in machine learning, deep learning, and modern data analytics, helping readers connect abstract ideas to practical meaning while building a durable foundation across the five volumes.Book 3 introduces spectral thinking and the decomposition toolkit that powers modern data science. You will learn eigenvalues and eigenvectors, diagonalization, and the spectral theorem, then move to singular value decomposition (SVD) as a universal tool for dimensionality reduction, low-rank approximation, denoising, and conditioning. The book also covers core factorizations such as QR and Cholesky, and connects decompositions to practical modeling assumptions. The focus remains conceptual and theory-driven, with careful verbal explanation and no coding or drill-style computation.

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