Cloud Native Automation with Google Cloud Build. Easily automate tasks in a fully managed, scalable, and secure platform

Anthony Bushong, Kent Hua

When adopting cloud infrastructure, you are often looking to modernize the automation of workflows such as continuous integration and software delivery. Minimizing operational overhead via fully managed solutions such as Cloud Build can be tough. Moreover, learning Cloud Build’s API and build schema, scalability, security, and integrating Cloud Build with other external systems can be challenging. This book helps you to overcome these challenges by cementing a Google Cloud Build foundation.The book starts with an introduction to Google Cloud Build and explains how it brings value via automation. You will then configure the architecture and environment in which builds run while learning how to execute these builds. Next, you will focus on writing and configuring fully featured builds and executing them securely. You will also review Cloud Build's functionality with practical applications and set up a secure delivery pipeline for GKE. Moving ahead, you will learn how to manage safe roll outs of cloud infrastructure with Terraform. Later, you will build a workflow from local source to production in Cloud Run. Finally, you will integrate Cloud Build with external systems while leveraging Cloud Deploy to manage roll outs.By the end of this book, you’ll be able to automate workflows securely by leveraging the principles of Google Cloud Build.

MongoDB Fundamentals. A hands-on guide to using MongoDB and Atlas in the real world

Amit Phaltankar, Juned Ahsan, Michael Harrison, Liviu Nedov

MongoDB is one of the most popular database technologies for handling large collections of data. This book will help MongoDB beginners develop the knowledge and skills to create databases and process data efficiently.Unlike other MongoDB books, MongoDB Fundamentals dives into cloud computing from the very start – showing you how to get started with Atlas in the first chapter. You will discover how to modify existing data, add new data into a database, and handle complex queries by creating aggregation pipelines. As you progress, you'll learn about the MongoDB replication architecture and configure a simple cluster. You will also get to grips with user authentication, as well as techniques for backing up and restoring data. Finally, you'll perform data visualization using MongoDB Charts.You will work on realistic projects that are presented as bitesize exercises and activities, allowing you to challenge yourself in an enjoyable and attainable way. Many of these mini-projects are based around a movie database case study, while the last chapter acts as a final project where you will use MongoDB to solve a real-world problem based on a bike-sharing app.By the end of this book, you'll have the skills and confidence to process large volumes of data and tackle your own projects using MongoDB.

Working with Odoo 11. Configure, manage, and customize your Odoo system - Third Edition

Greg Moss

Odoo is an all-in-one management software that offers an array of business applications, forming a complete suite of enterprise management applications. Odoo 11 comes with advances on usability, speed, and design.Working with Odoo 11 starts with how to set up Odoo, both online and on your own server. You’ll then configure the basic company settings required to quickly get your first Odoo system up and running. Later, you’ll explore customer relationship management in Odoo and its importance in a modern business environment. You'll then dive into purchasing applications with Odoo, learn some of the primary functionalities of ERP systems for manufacturing operations, and use analytic accounting to provide better reporting. After that, you'll learn how to work with Odoo for mobile, and finally, you will walk through the recent Odoo 11 features with respect to the community and enterprise edition, giving you a complete understanding of what Odoo can do for your business.

Learning Dart. Learn to develop high performance applications with Dart 1.10 - Second Edition

Ivo Balbaert

Lua Game Development Cookbook. Over 70 recipes that will help you master the elements and best practices required to build a modern game engine using Lua

Mario Kasuba

SAFe(R) for DevOps Practitioners. Implement robust, secure, and scaled Agile solutions with the Continuous Delivery Pipeline

Robert Wen, Harry Koehnemann

Product development and release faces overlapping challenges due to the combined pressure of delivering high-quality products in shorter time-to-market cycles, along with maintaining proper operation and ensuring security in a complex high-tech environment. This calls for new ways of overcoming these challenges from design to development, to release, and beyond. SAFe® for DevOps Practitioners helps you use a DevOps approach with the Scaled Agile Framework and details how value streams help you resolve these challenges using examples and use cases.The book begins by explaining how the CALMR approach makes DevOps effective in resolving product development roadblocks. Next, you’ll learn to apply value stream management to establish a value stream that enables product development flow, measure its effectiveness through appropriate feedback loops, and find ways of improving it. Finally, you’ll get to grips with implementing a continuous delivery pipeline that optimizes the value stream through four phases during release on demand. This book complements the latest SAFe DevOps courses, and you’ll find it useful while studying for the SAFe DevOps Practitioner (SDP) certification.By the end of this DevOps book, you’ll have gained a clear understanding of how to achieve continuous execution and release on demand using DevOps and SAFe.

Antivirus Bypass Techniques. Learn practical techniques and tactics to combat, bypass, and evade antivirus software

Nir Yehoshua, Uriel Kosayev

Antivirus software is built to detect, prevent, and remove malware from systems, but this does not guarantee the security of your antivirus solution as certain changes can trick the antivirus and pose a risk for users. This book will help you to gain a basic understanding of antivirus software and take you through a series of antivirus bypass techniques that will enable you to bypass antivirus solutions.The book starts by introducing you to the cybersecurity landscape, focusing on cyber threats, malware, and more. You will learn how to collect leads to research antivirus and explore the two common bypass approaches used by the authors. Once you’ve covered the essentials of antivirus research and bypassing, you'll get hands-on with bypassing antivirus software using obfuscation, encryption, packing, PowerShell, and more. Toward the end, the book covers security improvement recommendations, useful for both antivirus vendors as well as for developers to help strengthen the security and malware detection capabilities of antivirus software.By the end of this security book, you'll have a better understanding of antivirus software and be able to confidently bypass antivirus software.

Python: Deeper Insights into Machine Learning. Deeper Insights into Machine Learning

David Julian, Sebastian Raschka, John Hearty

Machine learning and predictive analytics are becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. It is one of the fastest growing trends in modern computing, and everyone wants to get into the field of machine learning. In order to obtain sufficient recognition in this field, one must be able to understand and design a machine learning system that serves the needs of a project. The idea is to prepare a learning path that will help you to tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques. Also, it will give you a solid foundation in the machine learning design process, and enable you to build customized machine learning models to solve unique problems.The course begins with getting your Python fundamentals nailed down. It focuses on answering the right questions that cove a wide range of powerful Python libraries, including scikit-learn Theano and Keras.After getting familiar with Python core concepts, it’s time to dive into the field of data science. You will further gain a solid foundation on the machine learning design and also learn to customize models for solving problems.At a later stage, you will get a grip on more advanced techniques and acquire a broad set of powerful skills in the area of feature selection and feature engineering.