Bøger af Michael Kaufmann

Automate your build, test, and deploy pipelines using GitHub Actions!Continuous delivery (CI/CD) pipelines help you automate the software development process and maximize your team’s efficiency. GitHub Actions in Action teaches you to build real-world build, test, and deploy pipelines in GitHub Actions through hands-on labs and projects. In GitHub Actions in Action you will learn how to: • Create and share GitHub Actions workflows • Automate CI/CD workloads and other GitHub tasks • Secure release pipelines with secrets, variables, and environments • Support compliance frameworks • Create safe and scalable self-hosted runners Written by three Microsoft MVPs and tech reviewed by a Staff DevOps Architect from GitHub, this book delivers the hardworking skills and advice you’ll need to be successful on the job. DevOps engineers will love GitHub Actions in Action’s coverage of reliable methods for Infrastructure-as-Code and automating cloud environments. You’ll follow an extended example application for selling tickets, taking it all the way from initial build to cloud deployment. Foreword by Scott Hanselman. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the technology Believe it or not, CI/CD can be simple! With GitHub Actions, you can automate your entire dev process using just the tools built into GitHub—no external frameworks or complex integrations required. GitHub Actions is secure, reliable, and best of all, easy. This book will get you started. About the book GitHub Actions in Action teaches you how to build automated delivery pipelines in GitHub. You’ll start with simple examples that demonstrate workflow and action basics, and then you’ll dive into platform architecture, security, and workflow runtime details. As you go, you’ll build a full CI/CD pipeline, optimizing for compliance, performance, and costs. You’ll even create shareable actions for the GitHub marketplace. What's inside • Create and share GitHub Actions workflows • Automate testing and other GitHub tasks • Secure release pipelines with secrets, variables, and environments About the reader For developers and DevOps engineers comfortable with GitHub. About the author Michael Kaufmann is a Microsoft Regional Director and MVP. Rob Bos is an Azure and GitHub Trainer, a Microsoft MVP, a GitHub Star, and a LinkedIn Learning Instructor. Marcel de Vries is a CTO of Xebia Microsoft Services, Microsoft Regional Director, and MVP. The technical editor on this book was James Michael Gousset. Table of Contents Part 1 1 Introduction to GitHub Actions 2 Hands-on: My first Actions workflow 3 Workflows 4 GitHub Actions Part 2 5 Runners 6 Self-hosted runners 7 Managing your self-hosted runners Part 3 8 Continuous integration 9 Continuous delivery 10 Security 11 Compliance 12 Improving workflow performance and costs

This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques and examine upcoming innovations.In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained.This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases.The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.

This LNCS 13453 constitutes the thoroughly refereed proceedings of the 48th International Workshop on Graph-Theoretic Concepts in Computer Science, WG 2022.The 32 full papers presented in this volume were carefully reviewed and selected from a total of 96 submissions. The WG 2022 workshop aims to merge theory and practice by demonstrating how concepts from Graph Theory can be applied to various areas in Computer Science, or by extracting new graph theoretic problems from applications.

Git hat sich als Quellcodeverwaltung durchgesetzt und ist der De-facto-Standard in der Softwareentwicklung. Alle Unternehmen, die noch nicht auf Git sind, werden die nächsten Jahre wechseln. Und nicht nur die Entwicklung - auch Administration, Sicherheit und Dokumentation finden zunehmend auf Git statt. Git ist damit heute das wichtigste Werkzeug für alle digitalen Produkte - quasi die Werkbank. Wenn Sie wissen wollen, wie Sie Git richtig implementieren und welche Regeln Sie für die Zusammenarbeit aufstellen sollten, dann sind Sie hier richtig. Dieses Buch ist eine Einführung in das effektive Arbeiten mit Git - geeignet sowohl für Berufseinsteiger als auch für erfahrene Entwickler, die zu Git wechseln.

Based on practical experience as a data analyst and on theoretical studies as a researcher, the author explains fuzzy classification, inductive logic and the concept of likelihood and introduces a blend of Bayesian and Fuzzy Set approaches, allowing reasonings on fuzzy sets that are derived by inductive logic.

Erstmals wird in diesem Buch der Versuch unternommen, die Beiträge klassischer Disziplinen wie Genetik, Enzymologie, Mikrobiologie, Biotechnik, Toxikologie, Informatik und Ingenieurwissenschaften in einen neuen Wirkzusammenhang zu stellen und dadurch zu einem erweiterten Arbeitsansatz in der biologischen Schadstoffbehandlung zu kommen. Die künstlich beschleunigte Evolution von Mikroorganismen mit dem patentierten ArtEv-Verfahren setzt die überhaupt erreichbare biologische Potenz von Mikroorganismen frei. Sie weist damit der immanenten Fähigkeit lebendiger Organismen zur Selbstoptimierung den ihr gebührenden Stellenwert zu.