The DevOps 2.4 Toolkit. Continuous Deployment to Kubernetes: Continuously deploying applications with Jenkins to a Kubernetes cluster

Viktor Farcic

Building on The DevOps 2.3 Toolkit: Kubernetes, Viktor Farcic brings his latest exploration of the Docker technology as he records his journey to continuously deploying applications with Jenkins into a Kubernetes cluster.The DevOps 2.4 Toolkit: Continuously Deploying Applications with Jenkins to a Kubernetes Cluster is the latest book in Viktor Farcic’s series that helps you build a full DevOps Toolkit. This book guides readers through the process of building, testing, and deploying applications through fully automated pipelines.Within this book, Viktor will cover a wide-range of emerging topics, including an exploration of continuous delivery and deployment in Kubernetes using Jenkins. It also shows readers how to perform continuous integration inside these clusters, and discusses the distribution of Kubernetes applications, as well as installing and setting up Jenkins.Work with Viktor and dive into the creation of self-adaptive and self-healing systems within Docker.

Learning VMware vRealize Automation. Learn the fundamentals of vRealize Automation to accelerate the delivery of your IT services

Sriram Rajendran

With the growing interest in Software Defined Data Centers (SDDC), vRealize Automation offers data center users an organized service catalog and governance for administrators. This way, end users gain autonomy while the IT department stays in control, making sure security and compliance requirements are met. Learning what each component does and how they dovetail with each other will bolster your understanding of vRealize Automation.The book starts off with an introduction to the distributed architecture that has been tested and installed in large scale deployments. Implementing and configuring distributed architecture with custom certificates is unarguably a demanding task, and it will be covered next. After this, we will progress with the installation. A vRealize Automation blueprint can be prepared in multiple ways; we will focus solely on vSphere endpoint blueprint. After this, we will discuss the high availability configuration via NSX loadbalancer for vRealize Orchestrator. Finally, we end with Advanced Service Designer, which provides service architects with the ability to create advanced services and publish them as catalog items.

IBM Rational Team Concert 2 Essentials. Improve your team productivity with Integrated Process, Planning, and Collaboration using Team Concert Enterprise Edition

T C Fenstermaker, TC Fenstermaker, Suresh Krishna, Suresh Madhuvarsu

Software development is a collaborative effort needing active and timely input and response from all its members. Every day, project managers face ever-increasing pressures to produce high-quality software with increasing constraints. With IBM's Rational Team Concert collaborative software delivery environment, you can tremendously improve the productivity of your entire team through a web-based user-interface, continuous builds, a customizable process with work support, team support, integration and many more features.Written by Suresh Krishna and TC Fenstermaker, experts on Rational Team Concert, this book will help you leverage the full potential of the IBM Rational Team Concert platform to improve your individual and team performance. It follows a realistic case-study example enabling you to learn about Rational Team Concert fundamentals and best practices along the way to efficiently manage your software projects and tackle various software development challenges.Beginning with an in-depth analysis of software development challenges, the book goes on to introduce the Jazz Platform followed by a complete overview of the architecture of Rational Team Concert. After you install Rational Team Concert on WebSphere and learn to configure the server and clients, you will see all the features in relation to Web and Eclipse clients.From Chapter 3 onwards a realistic sample application is constructed to give you a strong grasp of your concepts. As you proceed, you learn source control, the mechanism to create, control, and manage documents, artifacts in a software development lifecycle, followed by different tools that Rational Team Concert offers for effective team and work management. You tackle the various challenges of Team Collaboration by integrated e-mail, instant messaging, events, feeds, and work items, the basic units of the task. You also learn the various aspects of the software development process and release planning along with process templates, which provide the initial process and iteration of your project. Finally, you extend the Rational Team Concert and make use of the Jazz Platform APIs to customize your process to fit your organizational needs.

Using Stable Diffusion with Python. Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Andrew Zhu (Shudong Zhu), Matthew Fisher

Stable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques.You’ll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you’ll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction.By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.

Python Data Analysis Cookbook. Clean, scrape, analyze, and visualize data with the power of Python!

Ivan Idris

Data analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns. As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning.Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas. You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You’ll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining.In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods. Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code.By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.

Lo-Dash Essentials. Implement fast, lean, and readable code effectively with Lo-Dash

Adam Boduch

Automating DevOps with GitLab CI/CD Pipelines. Build efficient CI/CD pipelines to verify, secure, and deploy your code using real-life examples

Christopher Cowell, Nicholas Lotz, Chris Timberlake

Developers and release engineers understand the high stakes involved in building, packaging, and deploying code correctly. Ensuring that your code is functionally correct, fast, and secure is a time-consuming and complex task. Code implementation, development, and deployment can be conducted efficiently using GitLab CI/CD pipelines.Automating DevOps with GitLab CI/CD Pipelines begins with the basics of Git and GitLab, showing how to commit and review code. You’ll learn to set up GitLab Runners for executing and autoscaling CI/CD pipelines and creating and configuring pipelines for many software development lifecycle steps. You'll also discover where to find pipeline results in GitLab, and how to interpret those results. Through the course of the book, you’ll become well-equipped with deploying code to different environments, advancing CI/CD pipeline features such as connecting GitLab to a Kubernetes cluster and using GitLab with Terraform, triggering pipelines and improving pipeline performance and using best practices and troubleshooting tips for uncooperative pipelines. In-text examples, use cases, and self-assessments will reinforce the important CI/CD, GitLab, and Git concepts, and help you prepare for interviews and certification exams related to GitLab.By the end of this book, you'll be able to use GitLab to build CI/CD pipelines that automate all the DevOps steps needed to build and deploy high-quality, secure code.

Network Automation with Go. Learn how to automate network operations and build applications using the Go programming language

Nicolas Leiva, Michael Kashin

Go’s built-in first-class concurrency mechanisms make it an ideal choice for long-lived low-bandwidth I/O operations, which are typical requirements of network automation and network operations applications.This book provides a quick overview of Go and hands-on examples within it to help you become proficient with Go for network automation. It’s a practical guide that will teach you how to automate common network operations and build systems using Go.The first part takes you through a general overview, use cases, strengths, and inherent weaknesses of Go to prepare you for a deeper dive into network automation, which is heavily reliant on understanding this programming language. You’ll explore the common network automation areas and challenges, what language features you can use in each of those areas, and the common software tools and packages. To help deepen your understanding, you’ll also work through real-world network automation problems and apply hands-on solutions to them.By the end of this book, you’ll be well-versed with Go and have a solid grasp on network automation.

Learning NServiceBus Sagas. Discover how to design, build, and test sagas and messaging with NServiceBus

Richard L Helton

Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples

Serg Masís

Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf.We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining.By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning.

Building Smart Home Automation Solutions with Home Assistant. Configure, integrate, and manage hardware and software systems to automate your home

Marco Carvalho

Picture a home where you can adjust the lighting based on the time of day or when movement is detected. In this same home, you can also detect when a door is unexpectedly opened or an alarm is triggered in response to any suspicious activity. Such automated devices form part of a smart home, and the exciting part is that this book teaches you how to create and manage these devices all by yourself.This book helps you create your own ecosystem to automate your home using Home Assistant software. You’ll begin by understanding the components of a home automation system and learn how to create, hack, and configure them to operate seamlessly. Then, you'll set up Home Assistant on a Raspberry Pi to work as a home automation server, build your own IoT sensors based on ESP32/ESP8266, and set up real-life automation use cases using hands-on examples and projects. The chapters will also guide you in using software tools such as Node-RED, InfluxDB, and Grafana to manage, present, and use data collected from your Home Automation devices. Finally, you’ll gain insights into new technologies and trends in the home automation space to help you continue with your learning journey.By the end of this book, you’ll be able to build your own creative, IoT-based home automation system using different hardware and software technologies.

WebRTC Integrator's Guide. Successfully build your very own scalable WebRTC infrastructure quickly and efficiently

Altanai Bisht

Unity 3D Game Development. Designed for passionate game developers—Engineered to build professional games

Anthony Davis, Travis Baptiste, Russell Craig, Ryan Stunkel

This book, written by a team of experts at Unity Technologies, follows an informal, demystifying approach to the world of game development.Within Unity 3D Game Development, you will learn to:Design and build 3D characters and game environmentsThink about the users’ interactions with your gameDevelop an interface and apply visual effects to add an emotional connection to your world Gain a solid foundation of sound design, animations, and lighting Build, test, and add final touchesThe book contains expert insights that you’ll read before you look into the project on GitHub to understand all the underpinnings. This way, you get to see the end result, and you’re allowed to be creative and give your own thoughts to design, as well as work through the process with the new tools we introduce.Join the book community on Discord to read this book with Unity game developers, and the team of authors. Ask questions, build teams, chat with the authors, participate in events and much more. The link to join is included in the book.

Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

Duc Haba

Data is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust. Acquiring additional data through traditional methods can be challenging, expensive, and impractical, and data augmentation offers an economical option to extend the dataset.The book teaches you over 20 geometric, photometric, and random erasing augmentation methods using seven real-world datasets for image classification and segmentation. You’ll also review eight image augmentation open source libraries, write object-oriented programming (OOP) wrapper functions in Python Notebooks, view color image augmentation effects, analyze safe levels and biases, as well as explore fun facts and take on fun challenges. As you advance, you’ll discover over 20 character and word techniques for text augmentation using two real-world datasets and excerpts from four classic books. The chapter on advanced text augmentation uses machine learning to extend the text dataset, such as Transformer, Word2vec, BERT, GPT-2, and others. While chapters on audio and tabular data have real-world data, open source libraries, amazing custom plots, and Python Notebook, along with fun facts and challenges.By the end of this book, you will be proficient in image, text, audio, and tabular data augmentation techniques.

Silverlight 4 User Interface Cookbook. Build and implement rich, standard-friendly user interfaces with Silverlight and Expression Blend

Vibor Cipan, Vibor Cipan (EUR)

Silverlight makes it much easier to build web applications with highly usable, interactive, and exciting user interfaces. However, with so many new options open to designers and developers, making the best use of the tools available is not always so easy. It's ease of use and rapid development process has left one area completely uncovered— how to design, build, and implement professional and usable interfaces, and create an enjoyable user experience and interaction.Written by a Microsoft MVP and Silverlight Prototyping Specialist, this book is the first and only book on developing Silverlight User Interfaces. Clear, step-by-step instructions show how to build all the user interface elements that users look forward to in a cutting edge app. This book offers essential recipes, with each recipe depicting the commonly used user interface patterns built with Silverlight, and in some cases, with WPF to showcase the possibilities.The author's experience in designing and developing user interfaces enables him to share insights on creating professional interfaces in a clear and friendly way. The book starts off with recipes dealing with fixed and fluid layouts, building custom command link controls, working with navigation, and collapsible panels, and then moves on to the more advanced topics such as calendars, alternating row colors, and task panes. The author covers a number of different UI patterns, controls, and approaches accompanied by XAML and C# code where needed (and explained), along with usage context and practical, proven, and professional techniques for specific controls and patterns.From maps to task panes, and web cam support to pixel shaders, this Cookbook provides you with a rich selection of Silverlight UI recipes. It covers all that you need to know in order to design and implement a user interface, together with professional user experience and interface guidelines to make your solutions and applications pleasurable for your users.The author has found himself in the role of both, a designer and a developer, at different points in his professional career, and his motive was to create a book that will serve as a useful resource for designers and developers trying to find their way with Silverlight and Expression Blend.By the end of the book, you will be able to create a rich, professional, and standards-compliant user interface.

Arduino Electronics Blueprints. Make common electronic devices interact with an Arduino board to build amazing out-of-the-box projects

Donald Wilcher, Don Wilcher