Google Cloud Certified Professional Cloud Network Engineer Guide. Design, implement, manage, and secure a network architecture in Google Cloud

Maurizio Ipsale, Mirko Gilioli

Google Cloud, the public cloud platform from Google, has a variety of networking options, which are instrumental in managing a networking architecture. This book will give you hands-on experience of implementing and securing networks in Google Cloud Platform (GCP).You will understand the basics of Google Cloud infrastructure and learn to design, plan, and prototype a network on GCP. After implementing a Virtual Private Cloud (VPC), you will configure network services and implement hybrid connectivity. Later, the book focuses on security, which forms an important aspect of a network. You will also get to grips with network security and learn to manage and monitor network operations in GCP. Finally, you will learn to optimize network resources and delve into advanced networking. The book also helps you to reinforce your knowledge with the help of mock tests featuring exam-like questions.By the end of this book, you will have gained a complete understanding of networking in Google Cloud and learned everything you need to pass the certification exam.

Building Resilient Architectures on AWS. A practical guide to architecting cost-efficient, resilient solutions in AWS

Ajit Puthiyavettle, Imaya Kumar Jagannathan, Rodrigue Koffi

Building systems that can withstand failure is key to running a successful business on the cloud. Learn from distinguished AWS experts—Ajit, Imaya, and Rodrigue—who bring over four decades of experience in architecting enterprise-scale solutions, speaking at major AWS conferences, and implementing resilience strategies across diverse industries, as they guide you through building highly available and fault-tolerant applications on AWS.This book explores resiliency, offering steps to design, build, and operate resilient architectures on AWS. You’ll master data security practices, backup strategies, and automation techniques, helping you build strong defenses and reliable recovery plans for resilience against disruptions. You’ll also learn how to apply AWS Well-Architected pillars to design applications with redundancy, loose coupling, graceful degradation, and fault isolation. With architecture examples, you’ll validate your design’s effectiveness through resilient patterns, performance monitoring, and chaos engineering.By the end of this book, you’ll be equipped with best practices for creating robust cloud infrastructures to ensure business continuity and success and become proficient at creating fault-tolerant systems, optimizing performance, and ensuring reliability across regions.

Certified Information Security Manager Exam Prep Guide. Aligned with the latest edition of the CISM Review Manual to help you pass the exam with confidence

Hemang Doshi

With cyber threats on the rise, IT professionals are now choosing cybersecurity as the next step to boost their career, and holding the relevant certification can prove to be a game-changer in this competitive market. CISM is one of the top-paying and most sought-after certifications by employers.This CISM Certification Guide comprises comprehensive self-study exam content for those who want to achieve CISM certification on the first attempt. This book is a great resource for information security leaders with a pragmatic approach to challenges related to real-world case scenarios. You'll learn about the practical aspects of information security governance and information security risk management. As you advance through the chapters, you'll get to grips with information security program development and management. The book will also help you to gain a clear understanding of the procedural aspects of information security incident management.By the end of this CISM exam book, you'll have covered everything needed to pass the CISM certification exam and have a handy, on-the-job desktop reference guide.

The Complete Guide to Defense in Depth. Learn to identify, mitigate, and prevent cyber threats with a dynamic, layered defense approach

Akash Mukherjee, Jason D. Clinton

In an era of relentless cyber threats, organizations face daunting challenges in fortifying their defenses against increasingly sophisticated attacks. The Complete Guide to Defense in Depth offers a comprehensive roadmap to navigating the complex landscape, empowering you to master the art of layered security.This book starts by laying the groundwork, delving into risk navigation, asset classification, and threat identification, helping you establish a robust framework for layered security. It gradually transforms you into an adept strategist, providing insights into the attacker's mindset, revealing vulnerabilities from an adversarial perspective, and guiding the creation of a proactive defense strategy through meticulous mapping of attack vectors. Toward the end, the book addresses the ever-evolving threat landscape, exploring emerging dangers and emphasizing the crucial human factor in security awareness and training. This book also illustrates how Defense in Depth serves as a dynamic, adaptable approach to cybersecurity.By the end of this book, you’ll have gained a profound understanding of the significance of multi-layered defense strategies, explored frameworks for building robust security programs, and developed the ability to navigate the evolving threat landscape with resilience and agility.

Cocos2d Game Development Blueprints. Design, develop, and create your own successful iOS games using the Cocos2d game engine

Jorge Jordán

Extending Unity with Editor Scripting. Put Unity to use for your video games by creating your own custom tools with editor scripting

Angelo Tadres, Angelo R Tadres Bustamante

SAP on Azure Implementation Guide. Move your business data to the cloud

Nick Morgan, Bartosz Jarkowski

Cloud technologies have now reached a level where even the most critical business systems can run on them. For most organizations SAP is the key business system. If SAP is unavailable for any reason then potentially your business stops. Because of this, it is understandable that you will be concerned whether such a critical system can run in the public cloud. However, the days when you truly ran your IT system on-premises have long since gone. Most organizations have been getting rid of their own data centers and increasingly moving to co-location facilities. In this context the public cloud is nothing more than an additional virtual data center connected to your existing network.There are typically two main reasons why you may consider migrating SAP to Azure: You need to replace the infrastructure that is currently running SAP, or you want to migrate SAP to a new database. Depending on your goal SAP offers different migration paths. You can decide either to migrate the current workload to Azure as-is, or to combine it with changing the database and execute both activities as a single step. SAP on Azure Implementation Guide covers the main migration options to lead you through migrating your SAP data to Azure simply and successfully.

Automated Machine Learning on AWS. Fast-track the development of your production-ready machine learning applications the AWS way

Trenton Potgieter, Jonathan Dahlberg

AWS provides a wide range of solutions to help automate a machine learning workflow with just a few lines of code. With this practical book, you'll learn how to automate a machine learning pipeline using the various AWS services.Automated Machine Learning on AWS begins with a quick overview of what the machine learning pipeline/process looks like and highlights the typical challenges that you may face when building a pipeline. Throughout the book, you'll become well versed with various AWS solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS Step Functions to automate an end-to-end ML process with the help of hands-on examples. The book will show you how to build, monitor, and execute a CI/CD pipeline for the ML process and how the various CI/CD services within AWS can be applied to a use case with the Cloud Development Kit (CDK). You'll understand what a data-centric ML process is by working with the Amazon Managed Services for Apache Airflow and then build a managed Airflow environment. You'll also cover the key success criteria for an MLSDLC implementation and the process of creating a self-mutating CI/CD pipeline using AWS CDK from the perspective of the platform engineering team.By the end of this AWS book, you'll be able to effectively automate a complete machine learning pipeline and deploy it to production.