Cloud computing Books

Book SynopsisHarness the power of this popular declarative configuration management tool to automate your infrastructure configuration Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand the core concepts and best approaches to the latest version of the Puppet language Learn the key components of the Puppet platform and see how they deploy and apply Puppet code to infrastructure Discover approaches to collaborative working by using the right structure of code and deployment Book DescriptionAs DevOps and platform engineering drive the demand for robust internal development platforms, the need for infrastructure configuration tools has never been greater. Puppet, a powerful configuration management tool, is widely used by leading enterprises and boasts a thriving open source community. This book provides a comprehensive explanation of both the Puppet language and the platform. It begins by helping you grasp the basic concepts and approach of Puppet as a stateful language, and then builds up to explaining how to structure Puppet code to scale and allow flexibility and collaboration among teams. As you advance, you’ll find out how the Puppet platform allows the management and reporting of infrastructure configuration. The book also shows you how the platform can be integrated with other tooling, such as ServiceNow and Splunk. The concluding chapters help you implement Puppet to fit in heavily regulated and audited environments as well as modern hybrid cloud environments. By the end of this book, you’ll have gained a solid understanding of the capabilities of both the Puppet language and platform, and you will have learned how to structure and scale Puppet to create a platform to provide enterprise-grade infrastructure configuration.What you will learn Find out how to structure Puppet code and data to scale and be secure Discover the core components of the Puppet platform and how to achieve performance Get to grips with classifying infrastructure and deploying code for different environments Understand how Bolt can provide procedural orchestration alongside Puppet code Use Puppet’s integrations and Forge modules that allow Puppet to integrate with other systems Adopt approaches to adoption to ensure your Puppet implementation will succeed in regulated environments, the cloud, and with change control Who this book is forThis book is for DevOps engineers looking to automate infrastructure with Puppet as a configuration management tool. It will allow both beginners and current Puppet users to understand the full power of the Puppet language and platform. A basic understanding of Unix system administration and Windows systems and core development concepts such as revision control tools like git, virtualization, testing, and coding tooling like vi or Visual Studio code is a prerequisite.Table of ContentsTable of Contents Puppet Concepts and Practices Major Changes, Useful Tools, and References Puppet Classes, Resource Types, and Providers Variables and Data Types Facts and Functions Relationships, Ordering, and Scope Templating, Iterating, and Conditionals Developing and Managing Modules Handling Data with Puppet Puppet Platform Parts and Functions Classification and Release Management Bolt for Orchestration Taking Puppet Server Further A Brief Overview of Puppet Enterprise Approaches to Adoption

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Book SynopsisBuild, ship, and run containers from scratch with Docker and Kubernetes be it on premise or in the cloud Key Features Master Docker container setup, operation, and debugging Use Docker compose for managing multi-service applications Navigate orchestrators like Kubernetes and Docker swarmkit Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Ultimate Docker Container Book, 3rd edition enables you to leverage Docker containers for streamlined software development. You’ll uncover Docker fundamentals and how containers improve software supply chain efficiency and enhance security. You’ll start by learning practical skills such as setting up Docker environments, handling stateful components, running and testing code within containers, and managing Docker images. You’ll also explore how to adapt legacy applications for containerization and understand distributed application architecture. Next, you’ll delve into Docker's networking model, software-defined networks for secure applications, and Docker compose for managing multi-service applications along with tools for log analysis and metrics. You’ll further deepen your understanding of popular orchestrators like Kubernetes and Docker swarmkit, exploring their key concepts, and deployment strategies for resilient applications. In the final sections, you’ll gain insights into deploying containerized applications on major cloud platforms, including Azure, AWS, and GCE and discover techniques for production monitoring and troubleshooting. By the end of this book, you’ll be well-equipped to manage and scale containerized applications effectively.What you will learn Understand the benefits of using containers Manage Docker containers effectively Create and manage Docker images Explore data volumes and environment variables Master distributed application architecture Deep dive into Docker networking Use Docker Compose for multi-service apps Deploy apps on major cloud platforms Who this book is forThis book is for Linux professionals, system administrators, operations engineers, DevOps engineers, software architects, and developers looking to work with Docker and Kubernetes from scratch. A basic understanding of Docker containers is recommended, but no prior knowledge of Kubernetes is required. Familiarity with scripting tools such as Bash or PowerShell will be advantageous.Table of ContentsTable of Contents What Are Containers and Why Should I Use Them? Setting Up a Working Environment Mastering Containers Creating and Managing Container Images Data Volumes and Configuration Debugging Code Running in Containers Testing Applications Running in Containers Increasing Productivity with Docker Tips and Tricks Learning about Distributed Application Architecture Using Single-Host Networking Managing Containers with Docker Compose Shipping Logs and Monitoring Containers Introducing Container Orchestration Introducing Docker Swarm Deploying and Running a Distributed Application on Docker Swarm Exploring Kubernetes Deploying, Updating, and Securing an Application with Kubernetes Running a Containerized Application in the Cloud Monitoring and Troubleshooting an Application Running in Production

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Book SynopsisTake your penetration testing career to the next level by discovering how to set up and exploit cost-effective hacking lab environments on AWS, Azure, and GCP Key Features Explore strategies for managing the complexity, cost, and security of running labs in the cloud Unlock the power of infrastructure as code and generative AI when building complex lab environments Learn how to build pentesting labs that mimic modern environments on AWS, Azure, and GCP Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe significant increase in the number of cloud-related threats and issues has led to a surge in the demand for cloud security professionals. This book will help you set up vulnerable-by-design environments in the cloud to minimize the risks involved while learning all about cloud penetration testing and ethical hacking. This step-by-step guide begins by helping you design and build penetration testing labs that mimic modern cloud environments running on AWS, Azure, and Google Cloud Platform (GCP). Next, you’ll find out how to use infrastructure as code (IaC) solutions to manage a variety of lab environments in the cloud. As you advance, you’ll discover how generative AI tools, such as ChatGPT, can be leveraged to accelerate the preparation of IaC templates and configurations. You’ll also learn how to validate vulnerabilities by exploiting misconfigurations and vulnerabilities using various penetration testing tools and techniques. Finally, you’ll explore several practical strategies for managing the complexity, cost, and risks involved when dealing with penetration testing lab environments in the cloud. By the end of this penetration testing book, you’ll be able to design and build cost-effective vulnerable cloud lab environments where you can experiment and practice different types of attacks and penetration testing techniques.What you will learn Build vulnerable-by-design labs that mimic modern cloud environments Find out how to manage the risks associated with cloud lab environments Use infrastructure as code to automate lab infrastructure deployments Validate vulnerabilities present in penetration testing labs Find out how to manage the costs of running labs on AWS, Azure, and GCP Set up IAM privilege escalation labs for advanced penetration testing Use generative AI tools to generate infrastructure as code templates Import the Kali Linux Generic Cloud Image to the cloud with ease Who this book is forThis book is for security engineers, cloud engineers, and aspiring security professionals who want to learn more about penetration testing and cloud security. Other tech professionals working on advancing their career in cloud security who want to learn how to manage the complexity, costs, and risks associated with building and managing hacking lab environments in the cloud will find this book useful.Table of ContentsTable of Contents Getting Started with Penetration Testing Labs in the Cloud Preparing Our First Vulnerable Cloud Lab Environment Succeeding with Infrastructure as Code Tools and Strategies Setting Up Isolated Penetration Testing Lab Environments on GCP Setting Up Isolated Penetration Testing Lab Environments on Azure Setting Up Isolated Penetration Testing Lab Environments on AWS Setting Up an IAM Privilege Escalation Lab Designing and Building a Vulnerable Active Directory Lab Recommended Strategies and Best Practices

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Book SynopsisExplore techniques to design and implement low latency applications and study the impact of latency reduction Purchase of the print or Kindle book includes a free PDF eBook Key Features Understand the impact application performance latencies have on different business use cases Develop a deep understanding of C++ features for low latency applications through real-world examples and performance data Learn how to build all the components of a C++ electronic trading system from scratch Book DescriptionC++ is meticulously designed with efficiency, performance, and flexibility as its core objectives. However, real-time low latency applications demand a distinct set of requirements, particularly in terms of performance latencies. With this book, you’ll gain insights into the performance requirements for low latency applications and the C++ features critical to achieving the required performance latencies. You’ll also solidify your understanding of the C++ principles and techniques as you build a low latency system in C++ from scratch. You’ll understand the similarities between such applications, recognize the impact of performance latencies on business, and grasp the reasons behind the extensive efforts invested in minimizing latencies. Using a step-by-step approach, you’ll embark on a low latency app development journey by building an entire electronic trading system, encompassing a matching engine, market data handlers, order gateways, and trading algorithms, all in C++. Additionally, you’ll get to grips with measuring and optimizing the performance of your trading system. By the end of this book, you’ll have a comprehensive understanding of how to design and build low latency applications in C++ from the ground up, while effectively minimizing performance latencies. What you will learn Gain insights into the nature of low latency applications across various industries Understand how to design and implement low latency applications Explore C++ design paradigms and features for low latency development Discover which C++ features are best avoided in low latency development Implement best practices and C++ features for low latency Measure performance and improve latencies in the trading system Who this book is forThis book is for C++ developers who want to gain expertise in low latency applications and effective design and development strategies. C++ software engineers looking to apply their knowledge to low latency trading systems such as HFT will find this book useful to understand which C++ features matter and which ones to avoid. Quantitative researchers in the trading industry eager to delve into the intricacies of low latency implementation will also benefit from this book. Familiarity with Linux and the C++ programming language is a prerequisite for this book.Table of ContentsTable of Contents Product Information Document Introducing Low Latency Application Development in C++ Designing Some Common Low Latency Applications in C++ Exploring C++ Concepts from A Low-Latency Application’s Perspective Building the C++ Building Blocks for Low Latency Applications Designing Our Trading Ecosystem Building the C++ Matching Engine Communicating with Market Participants Processing Market Data and Sending Orders to the Exchange in C++ Building the C++ Trading Algorithm’s Building Blocks Building the C++ Market Making and Liquidity Taking Algorithms Adding Instrumentation and Measuring Performance Analyzing and Optimizing the Performance of Our C++ System

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Book SynopsisThis book constitutes the refereed proceedings of the 8th IFIP WG 2.14 European Conference on Service-Oriented and Cloud Computing, ESOCC 2020, held in Heraklion, Crete, Greece, in September 2020. The 6 full and 8 short papers presented in this volume were carefully reviewed and selected from 20 submissions. The main event mapped to the main research track which focused on the presentation of cutting-edge research in both the service-oriented and cloud computing areas. In conjunction, an industrial track was also held attempting to bring together academia and industry through showcasing the application of service-oriented and cloud computing research, especially in the form of case studies, in the industry.The chapters ‘Identification of Comparison Key Elements and their Relationships for Cloud Service Selection’ and ‘Technology-Agnostic Declarative Deployment Automation of Cloud Applications’ are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Table of ContentsFormal Methods.- Testing conformance in multi-component enterprise application management.- Formalizing Event-Driven Behavior of Serverless Applications.- Probabilistic Verification of Outsourced Computation Based on Novel Reversible PUFs.- Cloud Service and Platform Selection.- Multiplayer game backends: A Comparison of commodity cloud-based approaches.- Are Cloud Platforms Ready for Multi-Cloud?.- Identification of Comparison Key Elements and their Relationships for Cloud Service Selection.- Deployment and Workflows.- Deployable Self-Contained Workflow Models.- Technology-Agnostic Declarative Deployment Automation of Cloud Applications.- Blockchain-Based Healthcare Workflows in Federated Hospital Clouds.- Monitoring.- Monitoring Behavioral Compliance with Architectural Patterns based on Complex Event Processing.- Towards Real-Time Monitoring of Data Centers using Edge Computing.- Modeling Users' Performance: Predictive Analytics in an IoT Cloud Monitoring System.- Data Distribution and Analytics.- Multi-Source Distributed System Data for AI-powered Analytics.- Blockchain- and IPFS-based Data Distribution for the Internet of Things.

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