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Majors C: Observability Engineering

Observability Engineering

Achieving Production Excellence

Management for Professionals

This open access book combines findings and solutions from various areas of research management, such as HR, finance, strategy, and business case development. In recent years, Europe has invested enormously into the establishment of Research Infrastructures (RIs): new types of research service-providing organizations in virtually all scientific domains, which are often based on local or regional core facilities and research centers. Bringing together interdisciplinary and multinational teams at single-site or distributed research facilities, more than a thousand RIs are active worldwide and operate as structured, networked organizations led by Research Infrastructure Managers. These Managers are mostly scientists who have to strike a balance between their scientific background on the one hand and effective management and leadership skills on the other.This is the first open access book made for Research Infrastructure Managers around the globe. It also provides insights into complex managerial issues involved in setting up and operating RIs, developing appropriate service provision, and market communication and dissemination activities. Readers will particularly benefit from the use cases, which were developed as part of the Executive Masterin Management of Research Infrastructures offered at the University of Milano-Bicocca (Italy), which was supported by the Research Infrastructure Training Programme (RITrain), an EU-funded Horizon 2020 project.

Governance, Strategy Development, and Operations

Research Infrastructure Management

Modern Computing in Simple Packages

Introducing Python

The software engineering landscape is constantly evolving, and the demands on engineers intensify with each technological and methodological shift. In such an environment, being a good coder isn't enough--true effectiveness goes beyond technical skills. This book is designed as a guide for individual contributors who want to level up to meet the challenges of a changing industry. Author Addy Osmani offers a trove of actionable insights, real-world examples, practical frameworks, and pragmatic advice drawn from years of experience (and plenty of mistakes) in the software industry. You'll learn the fundamental skills every effective engineer needs, as well as the strategic thinking and leadership that distinguishes senior and staff engineers. The Effective Software Engineer is a perennial resource for those who are committed to the ongoing process of learning, adapting, and striving to make a meaningful difference. <ul> <li>Connect your work to the overall goals of your team and organization</li> <li>Identify the most important tasks and avoid distractions</li> <li>Work effectively with your team, stakeholders, and users</li> <li>Navigate the evolving technology landscape, including AI tools, while focusing on uniquely human contributions</li> <li>Tackle complex challenges and make sound technical choices</li> <li>Stay relevant and adapt to change through continuous learning and growth</li> <li>Balance code quality with delivery speed while managing technical debt strategically</li> </ul>

How ICS at Every Level Can Leverage Ai, Prioritize High-Value Work, and Lead Beyond Their Role

The Effective Software Engineer

A roadmap for business leaders to unlock the full potential of data, machine learning, and artificial intelligenceNinety-nine percent of businesses surveyed say that data and AI are a top priority--but two-thirds admit to feeling stuck. What most leaders miss is that to succeed at becoming a data-driven business requires developing a nuanced understanding of why data holds such transformative power, what a data-inspired culture looks like, and how to get there.Data Inspired shows that the secret isn't to be more data-driven--it is to become data-inspired. This book reveals the crucial strategic distinction between using data to optimize existing operations and using them as a catalyst for deep transformation and innovation. Wernicke argues that success hinges less on technology and more on reshaping an organization's culture and decision-making habits. And with this book's proven principles, real-world examples, and comprehensive toolbox of methods for building a culture of evidence-based inquiry, readers will learn that success means far more than just adding more data to a business: it is about creating a thoroughly data-inspired organization with innovative work methods, new structures, and unmatched efficiency.Data Inspired will help business leaders, managers, and data professionals move beyond incremental improvements to achieve lasting, powerful change.

Building an Organizational Culture of Inquiry for Lasting Transformation

Data Inspired

Apress Pocket Guides

Secure Boot Encryption with Linux serves as a quick guide to building and maintaining a secure, embedded Linux system by establishing a verifiable Chain-of-Trust from the moment power is applied until the first user space application takes control. It meticulously breaks down what the Secure Boot implementation is, and critically, what it is not by providing the technical knowledge necessary to guard against sophisticated bootkits and unauthorized code execution.

We begin by dissecting the Linux Cryptographic Subsystem and the core mechanism for secret protection: the Linux Key-Management Facility (Keyring). It provides an in-depth, practical guide to implementing Trusted Keys and Encrypted Keys, detailing how these secrets are secured by tying them to specialized hardware like the Trusted Platform Module (TPM). This unique focus ensures that critical encryption and signing keys are never exposed to user spaces, neutralizing the impact of successful root-level exploits. Next, we explore the implementation of a full Secure Boot Chain-of-Trust. Readers will learn how the Chain-of-Trust works from the initial pre-bootloader (e.g., U-Boot SPL or the Arm Trusted Firmware), through the main bootloader, up to the kernel and the root filesystem. This process guarantees that only code signed by a trusted authority is executed, providing unparalleled protection against firmware injection and persistent bootkits. We finish by looking at a blue print for Secure System Lifecycle Management, integrating the kernel's key-management with Transparent Encryption (dm-crypt) for the root filesystem and detailing the procedures for maintaining security over time. 

By focusing on root-proof key management and end-to-end integrity enforcement, this pocket guide is essential reading for developers and security architects who need to build resilient Linux products that meet the highest standards of modern cybersecurity.

You Will Learn:

How to implement and manage cryptographic secrets using the Linux Key-Management Facility (Keyring)

Understand how to use the Linux Crypto API for secure hashing, signing, and encryption operations

How to establish an unbreakable Chain-of-Trust that verifies the integrity and authenticity of every system component, from the initial hardware Root-of-Trust and the pre-bootloader to the final Linux kernel load.

How to achieve Transparent Full Disk Encryption by integrating the secure Keyring with key technologies for data confidentiality for OS and Kernel levels




This Book is for:

Experienced embedded Linux developers and security architects

Secure Boot Encryption with Linux
 serves as a quick guide to building and maintaining a secure, embedded Linux system by establishing a verifiable Chain-of-Trust from the moment power is applied until the first user space application takes control. It meticulously breaks down what the Secure Boot implementation is, and critically, what it is not by providing the technical knowledge necessary to guard against sophisticated bootkits and unauthorized code execution.
 We begin by dissecting the Linux Cryptographic Subsystem and the core mechanism for secret protection: the Linux Key-Management Facility (Keyring). It provides an in-depth, practical guide to implementing Trusted Keys and Encrypted Keys, detailing how these secrets are secured by tying them to specialized hardware like the Trusted Platform Module (TPM). This unique focus ensures that critical encryption and signing keys are never exposed to user spaces, neutralizing the impact of successful root-level exploits. Next, we explore the implementation of a full Secure Boot Chain-of-Trust. Readers will learn how the Chain-of-Trust works from the initial pre-bootloader (e.g., U-Boot SPL or the Arm Trusted Firmware), through the main bootloader, up to the kernel and the root filesystem. This process guarantees that only code signed by a trusted authority is executed, providing unparalleled protection against firmware injection and persistent bootkits. we finish by looking at a blue print for Secure System Lifecycle Management, integrating the kernel's key-management with Transparent Encryption (dm-crypt) for the root filesystem and detailing the procedures for maintaining security over time.&nbsp;By focusing on root-proof key management and end-to-end integrity enforcement, this pocket guide is essential reading for developers and security archtects who need to build resilient Linux products that meet the highest standards of modern cybersecurity.You Will Learn:<ul><li>How to implement and manage cryptographic secrets using the Linux Key-Management Facility (Keyring)</li><li>Understand how to use the Linux Crypto API for secure hashing, signing, and encryption operations</li><li>How to establish an unbreakable Chain-of-Trust that verifies the integrity and authenticity of every system component, from the initial hardware Root-of-Trust and the pre-bootloader to the final Linux kernel load.</li><li>How to achieve Transparent Full Disk Encryption by integrating the secure Keyring with key technologies for data confidentiality for OS and Kernel levels</li></ul>This Book is for:Experienced embedded Linux developers and security architects

Implementation for Embedded Developers

Secure Boot Encryption with Linux

What if your AI systems could retrieve information, reason over complex knowledge, plan actions, and continuously learn--with enterprise-grade security and compliance? Agentic GraphRAG guides technical leaders, engineers, and architects through the next evolution of GenAI. Combining retrieval-augmented generation (RAG) with graph-based reasoning and agentic capabilities, this guide is a blueprint for building scalable, auditable, intelligent systems. Written by Anthony Alcaraz and Sam Julien, this book demystifies knowledge graphs, graph memory, neural-symbolic reasoning, and agent orchestration through real-world case studies, hands-on design patterns, and production-ready architectures. Readers will learn how to construct graph-native retrieval systems, integrate advanced reasoning into agent workflows, and address enterprise challenges around governance, scalability, and transparency. <ul> <li>Design graph-augmented architectures that surpass traditional RAG </li><li>Implement agents with dynamic memory, planning, and decision-making capabilities </li><li>Integrate knowledge graphs with LLMs </li><li>Deploy scalable, governable multi-agent systems ready for production environments </li></ul>

Integrating Knowledge Graphs, Reasoning, and Agency for Enterprise AI

Agentic GraphRAG

You know how to code, but you're ready to level up. You've heard about the power and performance of C++, a language vital to fields like AI, game development, and high-performance computing. But where do you even start? Existing resources are outdated or overly academic, or they assume a deep understanding of C. You need a guide that respects your existing skills and gets you coding fast with modern C++. This book cuts through the noise, focusing on the essential elements of C++ with hands-on projects that quickly build your skills and confidence. Author and C++ expert Frances Buontempo gets you up to speed quickly with the latest features and best practices of the language, preparing you for more advanced exploration. <ul> <li>Write clean and efficient C++ code </li><li>Understand core concepts and syntax </li><li>Apply various programming approaches, from OOP to functional styles </li><li>Read and understand complex C++ definitions and resources
</li></ul>

The Easy Way to Start Learning Modern C++

Introducing C++

Artificial Intelligence in Smart Healthcare Systems

The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem.Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs.This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.

Unleashing Innovation through Generative AI

Revolutionizing Healthcare Services

mitp Professional

<ul><li>Praxisorientierte Einführung für Data Engineers, Data Scientists, Data Analysts, Studierende, angehende Datenexperten und Entscheidungsträger</li>
<li>Von der Datenspeicherung und -verarbeitung über Data Science bis hin zur Datenvisualisierung mit Power BI</li>
<li>Zahlreiche Visualisierungen und ein durchgängiges Beispielprojekt erleichtern das Verständnis</li></ul>
 

Microsoft Fabric Schritt für Schritt
Mit diesem Buch erhalten Sie eine praxisorientierte Einführung in die einzelnen Komponenten der All-in-One-Datenplattform Microsoft Fabric. Es eignet sich sowohl für Einsteiger als auch für Expertinnen und Experten im Datenbereich. Ein grundlegendes Verständnis von Daten sowie erste Erfahrungen mit Python und SQL sind an einigen Stellen von Vorteil.

Praktische Einführung anhand eines durchgehenden Beispielprojekts
Anhand eines fiktiven Beispiels wird ein komplettes End-to-End-Datenprojekt in Microsoft Fabric umgesetzt, wobei alle relevanten Schritte - von der Datenanbindung über Datentransformationen bis hin zum finalen Dashboard - detailliert erläutert werden. Sie haben die Möglichkeit, alle Schritte selbst umzusetzen und das komplette Beispielprojekt praktisch nachzuvollziehen.

Mit anschaulichen Visualisierungen
Alle Komponenten von Microsoft Fabric werden anhand einer Reise durch eine fiktive Datenfabrik veranschaulicht und mit zahlreichen Illustrationen visualisiert. Auf diese Weise werden sowohl grundlegende Konzepte als auch Best Practices für die Umsetzung von Datenprojekten mit Microsoft Fabric leicht verständlich erläutert.

Aus dem Inhalt
<ul><li>Grundlegende Einführung in die wichtigsten Komponenten</li>
<li>Arbeitsbereich einrichten</li>
<li>Datenexploration (CSV, Excel, XML, JSON)</li>
<li>Datenspeicherung mit OneLake</li>
<li>Lakehouse und Warehouse für eine Medaillon-Architektur</li>
<li>Data Engineering und Orchestrierung</li>
<li>Machine-Learning-Modell für Data Science erstellen</li>
<li>Datenanalyse mit SQL</li>
<li>Datenvisualisierung mit Power BI</li>
<li>Überwachungshub und Warnungen</li></ul>


Zum Download:
Alle notwendigen Dateien für das Beispielprojekt

<ul><li>Praxisorientierte Einführung für Data Engineers, Data Scientists, Data Analysts, Studierende, angehende Datenexperten und Entscheidungsträger</li><li>Von der Datenspeicherung und -verarbeitung über Data Science bis hin zur Datenvisualisierung mit Power BI</li><li>Zahlreiche Visualisierungen und ein durchgängiges Beispielprojekt erleichtern das Verständnis</li></ul>Microsoft Fabric Schritt für SchrittMit diesem Buch erhalten Sie eine praxisorientierte Einführung in die einzelnen Komponenten der All-in-One-Datenplattform Microsoft Fabric. Es eignet sich sowohl für Einsteiger als auch für Expertinnen und Experten im Datenbereich. Ein grundlegendes Verständnis von Daten sowie erste Erfahrungen mit Python und SQL sind an einigen Stellen von Vorteil.Praktische Einführung anhand eines durchgehenden BeispielprojektsAnhand eines fiktiven Beispiels wird ein komplettes End-to-End-Datenprojekt in Microsoft Fabric umgesetzt, wobei alle relevanten Schritte – von der Datenanbindung über Datentransformationen bis hin zum finalen Dashboard – detailliert erläutert werden. Sie haben die Möglichkeit, alle Schritte selbst umzusetzen und das komplette Beispielprojekt praktisch nachzuvollziehen.Mit anschaulichen VisualisierungenAlle Komponenten von Microsoft Fabric werden anhand einer Reise durch eine fiktive Datenfabrik veranschaulicht und mit zahlreichen Illustrationen visualisiert. Auf diese Weise werden sowohl grundlegende Konzepte als auch Best Practices für die Umsetzung von Datenprojekten mit Microsoft Fabric leicht verständlich erläutert.Aus dem Inhalt<ul><li>Grundlegende Einführung in die wichtigsten Komponenten</li><li>Arbeitsbereich einrichten</li><li>Datenexploration (CSV, Excel, XML, JSON)</li><li>Datenspeicherung mit OneLake</li><li>Lakehouse und Warehouse für eine Medaillon-Architektur</li><li>Data Engineering und Orchestrierung</li><li>Machine-Learning-Modell für Data Science erstellen</li><li>Datenanalyse mit SQL</li><li>Datenvisualisierung mit Power BI</li><li>Überwachungshub und Warnungen</li></ul>Zum Download:
 Alle notwendigen Dateien für das Beispielprojekt

Der praktische Einstieg in die All-In-One-Datenplattform für Data Science & Co

Microsoft Fabric

There are more applications running in the cloud than there are ones that run well there. If you're considering taking advantage of cloud technology for your company's projects, this practical guide is an ideal way to understand the best practices that will help you architect applications that work well in the cloud, no matter which vendors, products, or languages you use. Architects and lead developers will learn how cloud applications should be designed, how they fit into a larger architectural picture, and how to make them operate efficiently. Authors Kyle Brown, Bobby Woolf, and Joseph Yoder take you through the process step-by-step. <ul> <li>Explore proven architectural practices for developing applications for the cloud </li><li>Understand why some architectural choices are better suited than others for applications intended to run on the cloud </li><li>Learn design and implementation techniques for developing cloud applications </li><li>Select the most appropriate cloud adoption patterns for your organization </li><li>See how all potential choices in application design relate to each other through the connections of the patterns </li><li>Chart your own course in adopting the right strategies for developing application architectures for the cloud </li></ul>

Designing, Building, and Modernizing for the Cloud

Cloud Application Architecture Patterns

Is your business truly ready for the AI revolution? Discover how to unlock the full potential of artificial intelligence and future-proof your organization with a winning AI strategy. AI is transforming every industry - is your business keeping up? In this essential guide, bestselling author and futurist Bernard Marr provides a comprehensive playbook for leaders looking to harness the power of AI. From understanding AI's transformative impact to developing a clear, actionable strategy, this book equips leaders with the tools they need to drive innovation, manage risks, and stay ahead in an AI-driven world. AI Strategy is the definitive guide for leaders ready to unlock AI's potential at scale. Covering every aspect of AI adoption - from ethical considerations and data management to employee upskilling and tech infrastructure - this book delivers real-world examples across multiple organizations and industries, from energy, healthcare and education to marketing and HR. Whether you're just starting or scaling fast, this must-read guide will help you confidently build and execute a winning AI strategy.

Unleash the Power of Artificial Intelligence in Your Business

AI Strategy

Good architecture is more than just good code--it's clear communication. The C4 Model: Visualizing Software Architecture is a practical guide to creating diagrams that help teams understand, build, and talk about software systems more effectively. Developed by Simon Brown and used by thousands of teams worldwide, the C4 model breaks architecture down into four simple levels (context, container, component, and code), making it easier to see the big picture and the details. Whether you're onboarding a new teammate, presenting to stakeholders, or just trying to make sense of a complex system, this book shows you how to create visuals that actually make an impact. With approachable guidance, real examples, and tips for tailoring diagrams to different audiences, it's a must-have for any developer or architect who wants to make their ideas easier to understand. <ul> <li>Learn how to apply the C4 model from high-level views to low-level details</li> <li>Create diagrams that support collaboration and clarity across teams</li> <li>Understand who each diagram is from and when to use it</li> <li>Go beyond C4 with other useful visual tools like dynamic views and deployment maps</li> <li>Build better conversations around how your software works and why</li> </ul>

Visualizing Software Architecture

The C4 Model

Observability Engineering

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