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Kania S: Samba 4

Samba 4

Das Handbuch für Administratoren

This book is a comprehensive roadmap for transitioning legacy systems into agile, cloud-native, and intelligent architectures. Whether you’re a software architect, DevOps engineer, or technology decision-maker, this book is your essential guide to navigating the evolving landscape of modern application development.

 

The book starts with an overview of why modernisation is imperative in today’s fast-paced environment, highlighting the limitations of legacy architectures and the advantages of embracing cloud-native models. From building a solid modernisation roadmap to understanding the anatomy of legacy systems like monoliths and N-tier applications, readers will gain practical insights into planning and execution. As the book progresses, it delves into the core of modern software architecture—microservices, containers, Kubernetes, and API-first design—explaining how to design, deploy, and scale distributed systems. Real-world implementations using Spring Boot, Node.js, React, and cloud platforms provide hands-on guidance for developers. Further, chapters cover performance optimisation, observability with Prometheus and Grafana, centralised logging, and CI/CD pipeline automation with Jenkins and GitHub Actions. Security is woven throughout, with detailed chapters on OAuth, API gateway protection, DevSecOps, and regulatory compliance, including GDPR and HIPAA. The book culminates with cutting-edge applications of AI and ML—chatbots, predictive analytics, and intelligent automation—showing how AI can enhance both customer experience and backend operations.

 

The book is a collection of multiple patterns, best practices, and real-world use cases, which equip the reader to lead successful modernisation initiatives that are secure, scalable, and future-ready.

 

What you will learn:

 

What are the limitations of legacy architectures and the advantages of embracing cloud-native models.

Understand the principles and strategies behind modernising legacy applications for cloud-native environments.

How to design, implement, and scale microservices using technologies like Spring Boot, Node.js, React, Docker, and Kubernetes.

How to secure modern applications through authentication, authorisation, API protection, and compliance with industry standards.




 

Who this book is for:

This book is designed for cloud architects and engineers, software developers, DevOps engineers, and IT leaders looking to modernize applications without starting from scratch.

Revolutionizing Legacy Systems with Spring, AI, Cloud, and Microservices

Cloud-Native Modernization Unleashed

This book is a comprehensive guide designed to equip engineers, data scientists, and AI practitioners with the principles, tools, and strategies needed to ensure reliability, performance, and accountability in Large Language Models (LLMs). 
The book begins by laying the groundwork with the foundations of observability, introducing LLMs, their significance in modern AI, and the critical role observability plays in maintaining robust systems. It then explores SRE principles, service level objectives, and incident response, while distinguishing the unique observability challenges that arise in AI and ML systems. Building on this foundation, the book dives into measuring performance, from defining SLOs tailored for LLMs to monitoring computational and token-level metrics. Readers gain practical insights into structured logging, debugging, and distributed tracing methods that provide visibility into complex LLM workflows. Scaling challenges are addressed through strategies for cross-model observability, autoscaling, latency reduction, and fault-tolerant infrastructure design. The book further explores chaos engineering, guiding readers through resilience testing in LLMs and the automation of chaos experiments in CI/CD pipelines. Finally, it highlights monitoring, retraining, and ethical considerations in AI observability, including governance, privacy, and accountability.

In conclusion, this book provides a holistic roadmap to building reliable, transparent, and future-ready LLM systems.

What you will learn:
How to design observability pipelines for LLMs, including token-level logging, prompt tracing, and 



latency analysis.
Techniques for applying chaos engineering principles to test LLM robustness under stress and



failure scenarios.
Methods for building SLOs, SLAs, and dashboards tailored to inference quality and model



reliability.
Strategies for monitoring hallucinations, drift, bias, and ethical failures in real-time.




Who this book is for:
This book is for AI infrastructure engineers, SREs, machine learning platform teams, and applied AI practitioners deploying or maintaining LLM-based applications.

Site Reliability and Chaos Engineering for AI at Scale

Observability for Large Language Models

Learn to write clean Ruby code that your team will thank you for. This fully revised and expanded edition goes far beyond the basics to help you master the principles and practices to keep your Ruby code elegant, maintainable, and future-proof.

Author Carleton DiLeo draws on years of experience across diverse Ruby codebases to show you why clean code matters and how to achieve it using today’s best practices. You’ll learn foundational principles like SOLID, DRY, and KISS, explore modern Ruby idioms such as pattern matching and safe navigation, and discover strategies for refactoring, error handling, and performance tuning.

Unlike books that only tell you how to write Ruby, this edition explains why these choices matter, and how they impact readability, scalability, and team productivity. With new chapters on metaprogramming, design patterns, sustainable development practices, and benchmarking tools, this book equips you to write Ruby code that stands the test of time.

What You Will Learn:

Apply core principles (SOLID, DRY, YAGNI, KISS) to real-world Ruby code

Use modern Ruby features: pattern matching, safe navigation, keyword arguments

Create cleaner classes and methods with practical examples

Refactor confidently with tests-first strategies

Handle errors responsibly with domain-specific exceptions

Implement design patterns in Ruby and avoid common pitfalls

Improve performance using benchmarking and profiling tools

Build sustainable practices: linters, CI, code reviews




Who this Book is for:

Ruby developers, ideally who have taken a Ruby on Rails bootcamp or have a few years of experience, who want to go beyond syntax to master writing clean, professional-grade code.

A Guide to Crafting Better Code for Rubyists

Clean Ruby

Whether you're a student stepping into the world of cybersecurity or a self-taught learner eager to build real-world skills, this book is your gateway to understanding and mastering Linux from both offensive and defensive perspectives. Designed for readers with a basic familiarity with Linux, it dives deep into the practical techniques that form the backbone of system security.

Through more than 100 hands-on exercises, you'll explore how attackers exploit Linux systems-and how defenders can harden them. Learn to navigate Bash with precision, manage users and authentication, crack password hashes, and uncover hidden processes. You'll gain insight into Systemd's role in service management and persistence, and develop the skills to configure powerful security frameworks like SELinux and AppArmor.

This book doesn't just teach theory-it builds capability. You'll learn how Linux handles file permissions and access control, how software is installed and verified, and how to think like both an attacker and a defender. Each chapter is packed with actionable knowledge that prepares you for real-world scenarios and professional challenges.

What You'll Learn:
Create and manage users and authentication systems

Crack password hashes and understand PAM

Control processes and Systemd services

Configure file permissions, ACLs, SELinux, and AppArmor

Build a strong foundation in Linux security through practical exercises




Who This Book Is For:
Ideal for students in computer science, early-career professionals, and career changers aiming to break into cybersecurity. Whether used as a textbook or a self-study guide, this book equips readers with the hands-on experience needed to thrive in the field.

A Practical Guide to System Processes, Permissions, and Protection

Linux Security Foundations

This book explores organizational commitment and management innovation, integrating theory, research, and practice to deepen understanding of these two key areas in work and organizational studies. It examines these themes across both public and private sectors and within varied work settings, including remote work and self-employment.The first section focuses on organizational commitment, addressing its theoretical foundations, methodological approaches, empirical findings, and managerial implications. Topics include its development in Brazil, measurement scales, commitment profiles, and its links to job satisfaction and turnover intentions. It also considers how commitment manifests in remote work environments and among self-employed individuals.The second section turns to management innovation, covering core concepts, empirical research, management control systems, innovation adoption, managerial skills, and the role of organizational culture in fostering innovation.The book concludes by analyzing the connection between management innovation and organizational commitment and proposing directions for future research. It will serve as a valuable resource for researchers interested in work and organizational dynamics.Ana Paula Moreno Pinho
 is Professor and Researcher at the Federal University of Ceará, currently coordinating the Postgraduate Program in Administration and Controllership (PPAC-UFC). Her research interests include organizational behavior and organizational psychology, people management, management innovation, and organizational commitment.
 Adauto de Vasconcelos Montenegro
 is Psychologist and Researcher at the University for International Integration of the Afro-Brazilian Lusophony (UNILAB). His research interests include work and organizational psychology, people management, management innovation, and organizational commitment.

Theory, Research, and Practice in the Context of Work and Organizations

Organizational Commitment and Management Innovation

Explore modern software engineering from design to deployment and everything in-between. This field guide is your ultimate reference to designing, building and deploying modern software applications in the tech industry today. 
Split into four parts, the book takes you through the stages of the software lifecycle, introducing you to aspects such as the command line interface, containerisation, design and practices before taking you through the major components of software system design, patterns, tools and best practices, before embarking on software deployment and all of the major areas of testing and security. You will also look at how the role of AI influences and impacts our approach to software engineering during different stages of development. 
The Developer's Field Guide to Modern Software Engineering is made up of 17, self-contained chapters for easy reference for those just starting their developer careers as well as those more experienced, who are looking for a quick refresher on a particular topic or issue. 
What You Will Learn

Review the major components of modern software engineering 

Explore major topics in a real-life context

Troubleshoot potentional problems 

See how AI is impacting software at different stages of the lifecycle 



Who This Book Is For
Developers, engineers, and product managers who are involved in the design and deployment of software applications. Also, for those just starting out, looking for a starting point, as well as those more experienced looking for a quick and easy refresher on a particular topic.

Methods, Tools and Best Practices

The Developer's Field Guide to Modern Software Engineering

Chapter 1: Introduction to RHEL AI.- Chapter 2: Setting Up RHEL AI.- Chapter 3: Exploring Core Components.- Chapter 4: Advanced Features of RHEL AI.- Chapter 5: Developing Custom AI Applications.- Chapter 6: Monitoring and Maintenance.- Chapter 7: Use Cases and Best Practices.- Chapter 8: Future Trends in RHEL AI.- Chapter 9: Community and Support.

Designing, Deploying and Scaling AI Solutions with Red Hat Enterprise Linux

Practical RHEL AI

Modern enterprises face growing friction between platform teams and product teams. Domain-Driven Platform Engineering offers a principled approach to align technical systems with business value. This book addresses this market gap with a deep, structured methodology supported by examples and real-life case studies.

The primary audience for this book includes software developers who are building domain-specific products. " Domain" refers to client or industry-specific capability products such as payments platforms, claims processing in insurance, revenue cycle management in healthcare, fulfillment orchestration in retail, or content lifecycle management in media, to name a few. 

The Domain-Driven Platform Engineering (DDPE) market is expanding rapidly as organizations confront the limits of generic platforms and seek to scale differentiated, domain-specific capabilities. Gartner predicts that 80% of software engineering organizations will have platform teams by 2026, while platform engineering is now a top-10 trend in enterprise IT modernization initiatives.

This book provides timely, structured guidance as developers and engineering leaders increasingly look to merge domain expertise with platform thinking. Readers will engage with this book conceptually and practically, using it initially to shape mental models and alignment strategies between domains and platforms. Then, they will revisit specific chapters for maturity models, frameworks, and industry case studies as they build and evolve their domain-aligned platforms. 

You will:

Adopt domain-driven practices to align platform engineering with business context and scale effectively.

Apply practitioner playbooks with real-world case studies, blueprints, and hands-on implementation guidance.

Implement governance and security patterns that ensure reliability, compliance, and resilience in enterprise platforms.

This book is for: Enterprise Architects ,Technology Leaders, DevOps and Cloud Engineers

How to Build Context-Aware, Scalable, and Self-Service Platforms for the Enterprise

Domain-Driven Platform Engineering

Build a sustainable, future-proof career in Quality Assurance. Focusing on both broader strategies for building a long-lasting and fruitful career, as well as tactical interview preparation, this book is a comprehensive roadmap to developing the technical, functional, and soft skills that will help you stand out in the job market.


The book takes a two-pronged approach to building your career in quality assurance and testing. It first helps you develop the foundational functional skills that large tech companies look for, and then guides you through step-by-step strategies to ace QA interviews. Combining real-world insights, structured skill-building, and a strategic approach to career growth, this ultimate guide for QA professionals will help you gain expertise in test planning, test automation, AI in testing, metrics, and quality reporting, making you a competitive candidate.


The book begins with an introduction to the QA profession, followed by a clear plan on which skills to develop and how to develop them. It then goes into detail on how to tailor your skills to specific industries and position yourself as a highly relevant expert. The second part of the book delves deeper into the interview process itself, offering crucial tips on how to showcase your competencies and deal with challenges, such as areas where you may have less experience. It also provides valuable advice on what to do after the interview, regardless of whether you got the job or not.


Using practical QA methodologies combined with career guidance and interview strategies, this book offers readers a holistic view, from mastering technical skills to navigating career advancements and succeeding in interviews.


What You Will Learn


 Develop critical abilities like process thinking, structured communication, leadership, and assertiveness

 Learn how to handle both technical and behavioral interview questions with confidence

 Gain deep expertise in test planning, test automation, AI in testing, metrics, and quality reporting

 Master the art of handling setbacks, learning from interview experiences, and position yourself for future success





Who This Book Is For


QA Engineers, Software Testers, Test Automation Engineers, QA Leads and QA Managers

Master Quality Assurance and Build a Solid Career

Beyond the QA Interview

Banish Your Mouse. The Linux Command Line isn’t just a reference manual. It’s a complete education on how Linux really works. From your first tentative keystrokes to writing powerful shell scripts, you’ll build the confidence and understanding to make your system work for you. Now in its third edition, this best-selling guide has been fully updated with modern examples, nearly 40 pages of new content, and downloadable scripts from LinuxCommand. Used in more than a thousand classrooms and libraries worldwide, it has helped over 150,000 readers gain fluency and confidence in Linux. Author and command line guru William Shotts delivers not just commands, but genuine insight, guided by his philosophy: Make everything as simple as possible, but no simpler. Through short, digestible chapters, you’ll learn to: <ul><li>Navigate the filesystem, manage files, and configure your environment</li><li>Chain commands, redirect input/output, and use regular expressions</li><li>Control processes, manage packages, and work with networking tools</li><li>Edit text with Vim</li><li>Write shell scripts to automate tasks and build custom tools</li><li>Use core utilities like grep, cut, sed, and tar to process data</li><li>Manage filesystems and compile programs from source</li></ul> Whether you’re managing servers, studying cybersecurity, or just curious about your computer, The Linux Command Line gives you the knowledge to command your system with confidence.

A Complete Introduction

The Linux Command Line, 3rd Edition

THE INSTANT&nbsp;SUNDAY TIMES&nbsp;AND NUMBER ONE&nbsp;NEW YORK TIMES&nbsp;BESTSELLER'A flabbergasting feat of political reporting . . . A news bomb on every page'&nbsp;Tina Brown,&nbsp;Observer'A blockbuster'&nbsp;Guardian&nbsp;'Gobsmacking'&nbsp;Daily Mail&nbsp;'Deeply reported and gripping'&nbsp;Financial Times'Riveting'&nbsp;Fintan O'Toole,&nbsp;New York Times'Exceptional . . . packed with news that will stay news'&nbsp;David Remnick,&nbsp;New Yorker'It's sparked fear - and leak inquiries - in the White House' Sunday Times*Few expected Donald Trump to return to the White House stronger than before.&nbsp;The indictments, convictions, assassination attempts, and four years of political exile made him not weaker but more powerful, more vengeful, and more willing to gamble than any President that came before him.Regime Change&nbsp;is the definitive account of the first year of Donald Trump's second presidency, based on hundreds of interviews and unprecedented reporting from deep within the administration's most closely guarded rooms. Journalists Jonathan Swan and Maggie Haberman investigate the decisions that have defined Trump's second term, which has been liberated from every constraint that defined his first. The generals who once told him 'no' are gone, and the lawyers who remain have learned to pick their battles.Haberman and Swan take you behind the scenes of a presidency that has launched a new war in the Middle East, sealed the border, deployed National Guard troops into American cities, transformed the Justice Department into an instrument of retribution against the President's enemies, and turned the office itself into a brazen vehicle for profit. They reveal a President operating almost entirely on instinct and a White House operating at the edge of political power.Regime Change&nbsp;shows how Trump has wielded that power, who has tried to stop him, and why nearly all of them have failed. A landmark work of real-time political history, this is the story of a President who has fundamentally altered how the world understands American power.&nbsp;

The phenomenal bestseller making global headlines

Regime Change

Religionswissenschaft

Religiöse Minderheiten und religiöse Mehrheiten lassen sich nicht durch Größe oder Merkmale kategorisieren, sondern werden durch Zuschreibungen bestimmt. Die Beiträger*innen fokussieren auf diese Zuschreibungen und die dadurch entstehenden Minderheiten-Mehrheiten-Konstellationen. Mit Blick auf plurale Gesellschaften der Gegenwart analysieren sie, was religiöse Minderheiten und Mehrheiten ausmacht, in welchem Verhältnis sie zueinander stehen und welche Folgen diskursive Bezugnahmen, Eigen- und Fremdbezeichnungen sowie Ein- und Ausschlüsse für die Selbstwahrnehmung, Konstituierung, Positionierung und Kommunikation religiöser Minderheiten haben.

Zuschreibungspraktiken in pluralen Gesellschaften

Religiöse Minderheiten - religiöse Mehrheiten

Samba 4

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