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Richards M: Handbuch moderner
Softwarearchitektur

Handbuch moderner Softwarearchitektur

Architekturstile, Patterns und Best Practices

Learn modern application deployment practices using containers and gain the foundational knowledge and practical skills that can be applied in real-world scenarios This book aims to make Kubernetes and container technologies easier to understand for those new to cloud computing and containerization.
Aided by clear explanations, pictures, and diagrams, you’ll start by reviewing the basics of container technologies, how Kubernetes works, how to deploy applications, and how networking works within this open-source system. Then, guided by a step-by-step approach to learning complex topics, the book explains why containers and Kubernetes are important in modern software development and shows you how these technologies are changing the way we build and run software. 
Featuring shorter chapters that break down difficult concepts, Kubernetes for Absolute Beginners is your starting point for understanding the future of software infrastructure and how this important system will help super-charge your career. 
 You Will: 
<ul>
<li>Understand the basics of Kubernetes, including its architecture and core components, and how it manages containerized applications

</li><li>Acquire hands-on skills in deploying, managing, and scaling applications using Docker and Kubernetes

</li><li>Explore advanced topics such as networking, security, storage solutions, and resource management in Kubernetes

</li><li>Use YAML files, ConfigMaps, and Secrets for configuration management



This Book Is For

IT professionals and developers who are new to Kubernetes and container technologies.
</li></ul>

Getting Familiar with K8s and Container Technologies

Kubernetes for Absolute Beginners

Unlock the power of Oracle Database 23ai, 26ai and Autonomous Database Serverless (ADB-S) with this comprehensive guide to the latest innovations in performance, security, automation, and AI-driven optimization. As enterprises embrace intelligent and autonomous data platforms, understanding these capabilities is essential for data architects, developers, and DBAs.

Explore cutting-edge features such as vector data types and AI-powered vector search, revolutionizing data retrieval in modern AI applications. Learn how schema privileges and the DB_DEVELOPER_ROLE simplify access control in multi-tenant environments. Dive into advanced auditing, SQL Firewall, and data integrity constraints to strengthen security and compliance.

Discover AI-driven advancements like machine learning-based query execution, customer retention prediction, and AI-powered query tuning. Additional chapters cover innovations in JSON, XML, JSON-Relational Duality Views, new indexing techniques, SQL property graphs, materialized views, partitioning, lock-free transactions, JavaScript stored procedures, blockchain tables, and automated bigfile tablespace shrinking.

What sets this book apart is its practical focus—each chapter includes real-world case studies and executable scripts, enabling professionals to implement these features effectively in enterprise environments. Whether you're optimizing performance or aligning IT with business goals, this guide is your key to building scalable, secure, and AI-powered solutions with Oracle 23AI and ADB-S.

What You Will Learn

Explore Oracle 23AI's latest features through real-world use cases

Implement AI/ML-driven optimizations for smarter, autonomous database performance

Gain hands-on experience with executable scripts and practical coding examples

Strengthen security and compliance using advanced auditing, SQL Firewall, and blockchain tables

Master high-performance techniques for query tuning, in-memory processing, and scalability

Revolutionize data access with AI-powered vector search in modern AI workloads

Simplify user access in multi-tenant environments using schema privileges and DB_DEVELOPER_ROLE

Model and query complex data using JSON-Relational Duality Views and SQL property graphs




Who this Book is For

Database architects, data engineers, Oracle developers, and IT professionals seeking to leverage Oracle 23AI’s latest features for real-world applications

Exploring New Features with Hands-On Case Studies

Oracle 23ai & ADBS in Action

Nomos Universitätsschriften - Soziale Arbeit

Fachkräfte der Sozialen Arbeit arbeiten oft mit Fachsoftware. In dieser sind spezifische Rationalitäten eingeschrieben, mit denen sie in der Nutzung konfrontiert werden. Diese technografische GTM-Studie begleitete zwei Softwareunternehmen bei der (Weiter-)Entwicklung ihrer Fachsoftware. Sie macht sichtbar, welche konzeptionellen Überlegungen, sozialen Aushandlungen und informationstechnologischen Rationalitäten hinter den Anwendungen stehen und wie diese die Praxis der Sozialen Arbeit mitstrukturieren können. 

Die Forschungsschwerpunkte von Joshua Weber liegen an der Schnittstelle von Digitalisierung und Sozialer Arbeit mit dem Fokus auf Fachsoftware, Dokumentation und digitale Kompetenzen im Feld Sozialer Arbeit.

Dieser Titel erscheint auch Open Access.

Technografische Fallstudien über die (Weiter-)Entwicklung von Fachsoftwaresystemen für die Soziale Arbeit

De-Scripting Social Work

mitp So einfach!

Python von Grund auf verstehen und eigene Programme Schritt für Schritt entwickeln
<ul><li>Für Kinder und Einsteiger ohne Vorkenntnisse, die Programmieren verständlich lernen möchten</li>
<li>Alle Python-Grundlagen anschaulich mit Bildern erklärt - kurze Texte, klar nachvollziehbare Beispiele</li>
<li>Von ersten kleinen Programmen bis zu eigenen Projekten mit grafischer Oberfläche</li>
<li>Lernen durch Schritt-für-Schritt-Anleitungen, Aufgaben und Challenges mit Lösungen</li>
<li>Ziel ist es, eigene Ideen selbstständig umzusetzen und ein sicheres Verständnis für Programmierlogik aufzubauen</li></ul>


Kinderleicht programmieren lernen? Kein Problem! Mit diesem Buch lernst du Schritt für Schritt und anhand zahlreicher Beispiele die Grundlagen der Programmiersprache Python. Viele Bilder und kurze anschauliche Texte erleichtern dir das Verständnis. Alle Beispielprogramme werden ganz genau erklärt.
Dich erwarten spannende Projekte wie zum Beispiel das Programmieren eines digitalen Assistenten zum Gedichteschreiben, ein Planeten-Ratespiel oder ein Programm zum Verwalten deiner Notizen. Du lernst, wie du Benutzungsoberflächen mit Bildern und Schaltflächen erstellst und wie du mit Daten aus dem Internet das Wetter vorhersagen kannst.
Challenges mit Lösungen testen dein Wissen und fordern dich heraus, selbst kreativ zu werden. Damit hast du alles, was du brauchst, um deine eigenen Ideen mit Python umzusetzen und in der Welt der Programmierung durchzustarten.

<ul><li>Die ersten Programme:
<ul><li>Python als Taschenrechner</li>
<li>Begrüßungsautomat und</li>
<li>Zahlenraten</li></ul>
</li><li>Funktionen im Einsatz:
<ul><li>Computerkunst und</li> 
<li>Briefassistent</li>
</ul>
</li><li>Daten clever verarbeiten:
<ul><li>Planeten aufzählen</li>
<li>Notizen verwalten und</li>
<li>das Wetter vorhersagen</li>
</ul>
</li><li>Programme mit grafischer Oberfläche:
<ul><li>Farbmischer</li>
<li>digitaler Würfel</li>
<li>Dichten mit Goethe und</li>
<li>Quiz</li>
</ul>

</li></ul>

Spielend lernen anhand von anschaulichen Bildern.Für Kinder und Erwachsene - ab 10 Jahre

Programmieren lernen mit Python - So einfach!

Hart Studies in Information Law and Regulation

This book explores the legal, political, and practical challenges that governments face when investigating local crimes involving digital evidence held by global cloud service providers. Criminal investigations increasingly require access to data held across borders. This gives rise to unique jurisdictional competitions and conflicts of law, as even exclusively domestic criminal investigations necessitate international cooperation when the relevant user data is stored abroad. Traditional systems of cross-border legal cooperation were designed for the pre-internet era and are ill-suited to address these challenges. This has led to extensive calls for reform and the proliferation of new policy initiatives at national, regional, and international levels. The book maps these emerging policy responses to cross-border data access problems and examines the extent to which they are fit for purpose. It then provides a framework to reconcile the practical necessities of law enforcement seeking digital evidence stored overseas with the territorial sovereignty of the countries hosting that data, the fundamental rights of individuals whose personal data is being sought, and the interests of technology companies whose cooperation is required. It is an essential guide to understanding the different rules, safeguards and procedures that govern law enforcement access to data held by multinational technology companies, and key to future policy development and legal reform.

Jurisdictional Games

Regulating Cross-Border Data Access for Law Enforcement

Today, organizations face significant pressure to rapidly innovate and respond to changing market demands, but many struggle to align engineering practices with overarching business goals. Agile and DevOps methodologies, often seen purely as technical solutions, can fail without proper alignment with executive-level expectations and objectives. Using a clear, actionable framework to effectively drive organizational change, this book addresses this critical gap by providing leaders with the tools and knowledge required to directly connect technical outputs to corporate strategy, ensuring development efforts consistently result in tangible business value.
Drawing on firsthand experiences in global enterprises, author Leo Bardelli demystifies Agile and DevOps methodologies, demonstrating how—when strategically implemented—they streamline processes, accelerate innovation, and deliver measurable impact that resonates with executives and board members alike. Structured around the most pressing pain points faced by senior managers and technical leaders, you’ll find essential topics such as maturity assessments, stakeholder engagement, strategic communication with executives, legacy system modernization, and effective risk management. Bardelli offers practical tools and actionable insights, including real-world templates, detailed case studies, maturity matrices, and KPIs tailored for clear communication with Board-level and executive stakeholders.
Unlike other technical guides that focus narrowly on engineering processes, Bridging the Gap uniquely blends technology and strategic business management, making, making these methodologies indispensable tools for sustained organizational growth and profitability.
What You Will Learn
<ul>
<li>Create and run a maturity assessment for Agile and DevOps based on the stream value

</li><li>Merge the product needs at an engineering level

</li><li>Build and collect metrics and turn this data into storytelling.

</li><li>Articulate the value of Agile and DevOps in terms that executives and board members understand and appreciate




Who This Book Is For

Engineering Managers, Technical Leads, Product Owners, Heads of DevOps, Head of Engineering and product people responsible for multiple teams or projects who want to increase their strategic impact. It will also prove very helpful for the engineer who is in a position to step into management-level positions such as Team Lead or Manager, and who needs to understand more clearly how the technical decisions relate to the objectives of the greater business.
</li></ul>

Turning Agile and DevOps Initiatives into Board-Level Wins

Bridging the Gap

Certification Study Companion Series

Splunk is a software technology for monitoring, searching, analyzing, and visualizing machine-generated data in real time. This book, divided into three modules, is structured to help readers prepare for Splunk certification exams.

The first module focuses on the Splunk Core Certified User and Power User exams. It covers Splunk installation across operating systems, license management, and user role configuration. Readers will learn the Splunk Processing Language (SPL) to create search queries, extract fields, and handle complex data formats like JSON and XML. Topics also include creating field aliases, macros, and event tags; using lookups to enrich data; setting up alerts; building data models; and designing advanced dashboards for presenting insights.

The second module prepares readers for the Splunk Enterprise Certified Admin exam through four chapters on essential administrative tasks. These include managing Splunk licenses, configuring the Splunk Forwarder for efficient data collection, and setting up indexer clusters for redundancy and high availability. The module also explores security best practices, advanced data input options, and troubleshooting tools like btool for managing .conf files. This section equips readers with the skills to optimize and secure Splunk environments.

The third module builds on the Architect certification by delving into advanced infrastructure management and troubleshooting. It covers search head configuration, multisite indexer clustering, and resource management. Readers will also learn to use REST API services, deploy apps via the deployment server, and manage Splunk on AWS. Each module includes chapter-end MCQs and module-specific tests to reinforce learning and exam readiness.

What You Will Learn
• Pass the Splunk Core Certified User, Power User, and Enterprise Certified Admin exams.
• Manage multi-site clustering and complex Splunk Enterprise topologies.
• Master Splunk Admin roles and advanced troubleshooting.
• Configure a Splunk lab environment in AWS.

Who This Book Is For

This book is ideal for individuals preparing for Splunk certification exams and for Splunk administrators or support engineers managing existing deployments.

Achieve Splunk Enterprise Certified Admin and Gain Architect Essentials

The Splunk Core User Study Companion

Stop Relying on Black Box Tools and Start Building Your Own. Offensive security isn’t just about running scripts; it’s about implementing engineering solutions. Red Team Engineering will show you how to transition from penetration tester to red team operator—taking you beyond the basics of exploitation to teach you the “how” of professional offensive development and infrastructure engineering. Casey Erdmann, an experienced red team operator, guides you through the complete development life cycle of a modern cyber operation. Using a project-based approach, you’ll engineer a complete offensive arsenal as you: <ul><li>Build full-stack credential harvesting apps with HTML, JavaScript, PHP, and MySQL.</li><li>Create brute-force and password-spraying tools in Python to attack SMB services.</li><li>Use Go to craft custom ransomware with encryption/decryption logic.</li><li>Abandon manual server setups for reproducible, disposable infrastructure.</li><li>Deploy C2 servers, redirectors, and phishing infrastructure on AWS.</li></ul> You'll also learn how to: <ul><li>Tunnel through firewalls with reverse VPNs using OpenVPN and PiVPN.</li><li>Manage fleet configurations at scale with Salt Project.</li><li>Simulate execution of end-to-end scenarios like deploying a physical “dropbox.”</li></ul> Whether your goal is to understand the enemy or to level up your penetration testing skills, Red Team Engineering will show you how to build professional-grade hacking tools that get the job done.

The Art of Building Offensive Tools and Infrastructure

Red Team Engineering

As the technology of Industry 4.0 continues to evolve, the legal implications will ripple across all sectors, changing the way businesses operate and interact. Negotiating the Industrial Metaverse: A Legal Guide to Industry 4.0 explores how traditional legal concepts, such as liability, contract enforcement, and intellectual property, must adapt to this new landscape. This title provides the necessary tools to navigate the regulatory, legal, ethical and compliance issues arising from the integration of IoT, AI, digital twins, smart factories, big data, virtual reality and cloud computing into the industrial world, and: - Helps readers consider risks, protect intellectual property, and deal with evolving legal standards in the industrial metaverse - Covers key topics including regulatory compliance, contractual safeguards, intellectual property rights, cybersecurity, data protection, employment law and human rights - Explores sustainability and environmental law in the context of the industrial metaverse Featuring contributions from legal practitioners and industry experts, this book provides a well-rounded understanding of the legal and technological landscape, making it an essential resource for legal professionals, policymakers and everyone navigating the future of industry. This title is included in Bloomsbury Professional's Cyber Law online service.

A Legal Guide to Industry 4.0

Negotiating the Industrial Metaverse

This comprehensive introduction to the information security field covers the industry’s essential concepts, using real-world security breaches to illustrate key lessons. "An excellent starting point for future security professionals.” —Help Net Security Cybersecurity is a huge field, and breaking in can feel overwhelming. Where do you start when the territory spans everything from cryptography to cloud security to social engineering? In Foundations of Cybersecurity, you’ll learn how security professionals actually think about protecting systems. You’ll start with core principles like authentication, authorization, and access control, then build outward into network defense, operating system hardening, application security, and security operations. Each chapter introduces concepts in context, showing how they connect to real decisions you’ll face on the job. This updated second edition covers: <ul><li>How attackers think: the threat landscape, social engineering tactics,&nbsp;and the kill chain</li><li>How defenders respond: SOC operations, incident response, and vulnerability assessment</li><li>The business side: governance, risk management, compliance frameworks, and penetration testing</li><li>Securing what’s new: AI systems, IoT devices, and cloud-native architectures</li><li>Building your career: paths into security, certifications that matter, and the soft skills that separate good analysts from great ones</li></ul> Hands-on projects throughout will have you apply what you’ve learned, from classifying real threat actors to designing detection rules to building a security awareness program. Whether you’re coming from IT or a completely different field, this book gives you the conceptual foundation to understand what cybersecurity professionals do, why they do it, and how to become one.

A Straightforward Introduction

Foundations of Cybersecurity, 2nd Edition

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book. Delivering a successful machine learning project is hard. This book makes it easier. In it, you’ll design a reliable ML system from the ground up, incorporating MLOps and DevOps along with a stack of proven infrastructure tools including Kubeflow, MLFlow, BentoML, Evidently, and Feast. A properly designed machine learning system streamlines data workflows, improves collaboration between data and operations teams, and provides much-needed structure for both training and deployment. In this book you’ll learn how to design and implement a machine learning system from the ground up. You’ll appreciate this instantly-useful introduction to achieving the full benefits of automated ML infrastructure. In Machine Learning Platform Engineering you’ll learn how to: • Set up an MLOps platform • Deploy machine learning models to production • Build end-to-end data pipelines • Effective monitoring and explainability About the technology AI and ML systems have a lot of moving parts, from language libraries and application frameworks, to workflow and deployment infrastructure, to LLMs and other advanced models. A well-designed internal development platform (IDP) gives developers a defined set of tools and guidelines that accelerate the dev process, improving consistency, security, and developer experience. About the book Machine Learning Platform Engineering shows you how to build an effective IDP for ML and AI applications. Each chapter illuminates a vital part of the ML workflow, including setting up orchestration pipelines, selecting models, allocating resources for training, inference, and serving, and more. As you go, you’ll create a versatile modern platform using open source tools like Kubeflow, MLFlow, BentoML, Evidently, Feast, and LangChain. What's inside • Set up an end-to-end MLOps/LLMOps platform • Deploy ML and AI models to production • Effective monitoring, evaluation, and explainability About the reader For data scientists or software engineers. Examples in Python. About the author Benjamin Tan Wei Hao leads a team of ML engineers and data scientists at DKatalis. Shanoop Padmanabhan is a software engineering manager at Continental Automotive. Varun Mallya is a senior ML engineer at DKatalis. Table of Contents Part 1 1 Getting started with MLOps and ML engineering 2 What is MLOps? 3 Building applications on Kubernetes Part 2 4 Designing reliable ML systems 5 Orchestrating ML pipelines 6 Productionizing ML models Part 3 7 Data analysis and preparation 8 Model training and validation: Part 1 9 Model training and validation: Part 2 10 Model inference and serving 11 Monitoring and explainability Part 4 12 Designing LLM-powered systems 13 Production LLM system design A Installation and setup B Basics of YAML

Build a Machine Learning Platform (From Scratch)

Learn to build AI-powered cross-platform applications using .NET MAUI. Designed for developers of all levels, this book offers a structured, project-based approach to integrating artificial intelligence into modern applications that run on Android, iOS, Windows, and macOS from a single codebase.


As artificial intelligence continues to transform software development, understanding how to effectively integrate AI services into applications has become an essential skill. The growing demand for intelligent, data-driven applications makes this knowledge highly relevant for developers seeking to enhance user experiences, automate processes, and leverage AI capabilities in real-world scenarios. Simultaneously, .NET MAUI is emerging as the leading framework for cross-platform development in the .NET ecosystem, enabling developers to create powerful applications with a native experience across multiple devices. By the end of this book, developers will have gained the technical expertise and practical experience needed to integrate AI into their applications efficiently.


What You Will Learn


 Incorporate chatbots, speech recognition, image analysis, sentiment detection, and predictive analytics into your apps.

 Cover performance optimization, caching strategies, security considerations, and ethical AI implementation.

 Benefit from real-world code examples and deployment strategies, ensuring that readers can confidently build, scale, and maintain AI-powered applications.

 Integrate AI with your cross-platforms apps, exploring key services such as Azure AI, Google Gemini, and OpenAI.





Who This Book is For


Whether you are an experienced MAUI developer aiming to expand your skill set or someone new to AI-powered development, this book will equip you with the tools and knowledge to build smarter, more efficient applications in today's rapidly evolving tech landscape.

How to Build Cross-Platform .NET MAUI Apps with the Latest AI Capabilities

AI-Enabled Apps with .NET MAUI

Handbuch moderner Softwarearchitektur

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