Driving DevOps with Value Stream Management. Improve IT value stream delivery with a proven VSM methodology to compete in the digital economy

Cecil 'Gary' Rupp, Helen Beal

Value Stream Management (VSM) opens the door to maximizing your DevOps pipeline investments by improving flows and eliminating waste. VSM and DevOps together deliver value stream improvements across enterprises for a competitive advantage in the digital world. Driving DevOps with Value Stream Management provides a comprehensive review and analysis of industry-proven VSM methods and tools to integrate, streamline, and orchestrate activities within a DevOps-oriented value stream.You'll start with an introduction to the concepts of delivering value and understand how VSM methods and tools support improved value delivery from a Lean production perspective. The book covers the complexities of implementing modern CI/CD and DevOps pipelines and then guides you through an eight-step VSM methodology with the help of a use case showing an Agile team's efforts to install a CI/CD pipeline. Free from marketing hype or vendor bias, this book presents the current VSM tool vendors and customer use cases that showcase their products' strengths. As you advance through the book, you'll learn four approaches to implementing a DevOps pipeline and get guidance on choosing the best fit.By the end of this VSM book, you'll be ready to develop and execute a plan to streamline your software delivery pipelines and improve your organization's value stream delivery.

AWS Certified Database - Specialty (DBS-C01) Certification Guide. A comprehensive guide to becoming an AWS Certified Database specialist

Kate Gawron

The AWS Certified Database – Specialty certification is one of the most challenging AWS certifications. It validates your comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting. With this guide, you'll understand how to use various AWS databases, such as Aurora Serverless and Global Database, and even services such as Redshift and Neptune.You’ll start with an introduction to the AWS databases, and then delve into workload-specific database design. As you advance through the chapters, you'll learn about migrating and deploying the databases, along with database security techniques such as encryption, auditing, and access controls. This AWS book will also cover monitoring, troubleshooting, and disaster recovery techniques, before testing all the knowledge you've gained throughout the book with the help of mock tests.By the end of this book, you'll have covered everything you need to pass the DBS-C01 AWS certification exam and have a handy, on-the-job desk reference guide.

Sustainable Cloud Development. Optimize cloud workloads for environmental impact in the GenAI era

Parth Girish Patel, Ishneet Kaur Dua, Steven David

Written by three seasoned AWS solution architects, sustainability mentors, and thought leaders, Sustainable Cloud Development equips cloud professionals with actionable strategies to design, build, and optimize workloads that minimize environmental impact, while maintaining performance and scalability.This book combines practical insights, best practices, and case studies to help you align your cloud operations with global sustainability goals. From foundational concepts such as carbon footprint measurement to advanced techniques such as sustainable software architecture, generative AI lifecycle optimization, and cost-efficient cloud practices, this book covers every aspect of sustainable cloud development. You’ll get to grips with key tools, including AWS Cost Explorer, for analyzing costs and usage over time to right-size deployments; auto scaling for automatically scaling compute resources dynamically based on demand; Amazon Trusted Advisor for reviewing optimization recommendations across critical areas such as cost, performance, and security; and Amazon CloudWatch for detailed monitoring and threshold-based alerting around all resources and applications.This book serves as a practical blueprint for optimizing your cloud workloads for both high performance and a minimal environmental footprint.

WildFly Configuration, Deployment, and Administration. Build a functional and efficient WildFly server with this step-by-step, practical guide

Francesco Marchioni, Christopher Adam M Ritchie

Squeaky Clean Topology in Blender. Create accurate deformations and optimized geometry for characters and hard surface models

Michael Steppig

This book is an introduction to modeling and an in-depth look at topology in Blender, written by a Blender topology specialist with years of experience with the software. As you progress through its chapters, you’ll conquer the basics of quad-based topology using triangles and Ngons, and learn best practices and things to avoid while modeling and retopologizing. The pages are full of illustrations and examples with in-depth explanations that showcase each step in an easy-to-follow format.Squeaky Clean Topology in Blender starts by introducing you to the user interface and navigation. It then goes through an overview of the modeling techniques and hotkeys that will be necessary to understand the examples. With the modeling basics out of the way, the next stop on our journey is topology. Working through projects like a character and a sci-fi blaster, the book will illustrate and work through complex topology problems, and present solutions to those problems. These examples focus on deforming character models, non-deforming hard surface models, and optimizing these models by reducing the triangle count.By the end of this book, you will be able to identify the general flow of a shape's topology, identify and solve issues in your topology, and come out with a model ready for UV unwrapping, materials, and rigging.

Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models

Soledad Galli

Feature engineering is invaluable for developing and enriching your machine learning models. In this cookbook, you will work with the best tools to streamline your feature engineering pipelines and techniques and simplify and improve the quality of your code.Using Python libraries such as pandas, scikit-learn, Featuretools, and Feature-engine, you’ll learn how to work with both continuous and discrete datasets and be able to transform features from unstructured datasets. You will develop the skills necessary to select the best features as well as the most suitable extraction techniques. This book will cover Python recipes that will help you automate feature engineering to simplify complex processes. You’ll also get to grips with different feature engineering strategies, such as the box-cox transform, power transform, and log transform across machine learning, reinforcement learning, and natural language processing (NLP) domains.By the end of this book, you’ll have discovered tips and practical solutions to all of your feature engineering problems.

Learning Python Design Patterns. - Second Edition

Chetan Giridhar, Gennadiy Zlobin, Anand Balachandran Pillai

With the increasing focus on optimized software architecture and design it is important that software architects think about optimizations in object creation, code structure, and interaction between objects at the architecture or design level. This makes sure that the cost of software maintenance is low and code can be easily reused or is adaptable to change. The key to this is reusability and low maintenance in design patterns.Building on the success of the previous edition, Learning Python Design Patterns, Second Edition will help you implement real-world scenarios with Python’s latest release, Python v3.5. We start by introducing design patterns from the Python perspective. As you progress through the book, you will learn about Singleton patterns, Factory patterns, and Façade patterns in detail. After this, we’ll look at how to control object access with proxy patterns. It also covers observer patterns, command patterns, and compound patterns.By the end of the book, you will have enhanced your professional abilities in software architecture, design, and development.

Mastering Spring Boot 3.0. A comprehensive guide to building scalable and efficient backend systems with Java and Spring

Ahmet Meric

Mastering Spring Boot 3.0 is your gateway to building scalable and robust backend systems using the latest techniques. Penned by a seasoned software developer with 20+ years of experience in the tech industry, this book follows a hands-on, step-by-step approach to helping you understand Spring Boot concepts and apply them to real-world projects.You’ll start by exploring key architectural patterns such as DDD, CQRS, and event sourcing. Next, you’ll focus on the nuances of reactive REST development, delve into advanced testing strategies, and fortify your applications' security. You’ll also discover the power of containerization and orchestration with Spring Boot 3.0 and unlock its potential for smooth deployments. Additionally, by integrating Kafka, you’ll be able to build robust event-driven systems.By the end of this book, you’ll have become proficient in architectural patterns, testing strategies, and application security. Whether you’re an architect, backend developer, or DevOps engineer, this book will help you leverage the advanced features of Spring Boot 3.0 for secure and efficient backend development.