Cloud computing Books

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Book SynopsisDesign and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution. The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines. What You Will Learn Understand the core concepts underlying modern data warehouses Design and build cloud-native data warehouses Gain a practical approach to architecting and building data warehouses on Azure and AWS Implement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and Lakehouse Process data through pandas and evaluate your model’s performance using metrics such as F1-score, precision, and recall Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications Who This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWSTable of ContentsChapter 1: Introduction.- Chapter 2: Modern Data Warehouses.- Chapter 3: Data Lake, Lake House, and Delta Lake.- Chapter 4: Data Mesh.- Chapter 5: Data Orchestration Techniques.- Chapter 6: Data Democratization, Governance, and Security.- Chapter 7: Business Intelligence.

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Book SynopsisThis book is a comprehensive guide for employing Terraform in infrastructure as code automation, and its application to infrastructure operations. Reverse Engineering with Terraform begins with an introduction to Terraform’s core functionalities, including state files, configuration files, and providers, followed by a deep dive into the tool. You’ll then learn how to pinpoint problems with Terraform automation and how reverse engineering can help you resolve them. Drilling down, authors Sumit Bhatia and Chetan Gabhane walk you through the various steps in reverse engineering with an eye towards more effective Terraform integration with preexisting and legacy IT infrastructure. Using a real-world reverse engineering example, they demonstrate how to import a preexisting resource into your infrastructure, which can help you develop an automatable and scalable method for Terrraform adoption. You’ll also learn how to create reusable, shareable components to streamline infrastructure code and foster collaboration within teams, and advanced techniques for using Terraform to optimize infrastructure provisioning, configuration, and management. Filled with real-world case studies, tips and tricks, and best practices, this book will leave you with a thorough understanding of the infrastructure as code paradigm, and how to leverage Terraform automation with legacy as well as modern IT infrastructure. What You Will Learn Understand Terraform and its infrastructure automation capabilities Explore how Terraform can be used with other platforms like AWS, Azure and VMware Master the basic concepts of reverse engineering for legacy infrastructure entities Enable Terraform in legacy IT environments through reverse engineering Who This Book Is For IT architects, admins, technical managers, and infrastructure solution experts. Minimal knowledge of Python programming is the only prerequisite.Table of Contents1: Terraform Infrastructure as Code.- 2: Deep Dive into Terraform.- 3: Reverse Engineering Basics.- 4: Terraform and Reverse Engineering.- 5: Debugging for import issues.- 6: Lifecycle Management.- 7: Other importing options with Terraform.

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Book SynopsisThis book delivers cloud-based applications that are both scalable and reliable, aligning with the evolving needs of the present user base. This innovative approach blends the agility of cloud computing with the efficiency of contemporary DevOps methodologies. The book starts by providing valuable insights into the ever-evolving software landscape of Cloud-native DevOps. It delves into strategies for crafting scalable and dependable applications and illustrates the art of leveraging open-source tools to enhance collaboration. It navigates through the integral role of microservices in contemporary software development and imparts the know-how to integrate them with DevOps practices. The book simplifies container technology, with a focus on Docker and Kubernetes. It further elucidates the process of streamlining software delivery through Continuous Integration and Continuous Deployment (CI/CD). As you progress, you will explore open-source tools, including Argo, Kubeflow Pipelines, and AWS Step Functions. The concluding section covers real-world case studies and best practices for implementing Cloud-native DevOps. The book reviews the core concepts covered throughout and provides an exciting glimpse into the future of Cloud-native DevOps. Upon completing this book, you will be well-versed in the principles and practices of Cloud-native DevOps, understand real-world applications, and recognize the critical importance of security in cloud computing. What You Will LearnCreate cloud-based applications that can scale with the changing needs of today's user baseCombine the flexibility of cloud computing with the efficiency of modern DevOps methodologiesUnderstandthe core concepts and principles of Cloud-native DevOpsUnderstand microservices, containers, and continuous integration and continuous deployment (CI/CD)Who This Book Is ForDevOps engineers, cloud architects, software developers, system administrators, IT managers, team leads, and business decision makers

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Book SynopsisChapter 1: Introduction to Snowflake.- Chapter 2: Bringing Your Data into Snowflake.- Chapter 3: Handling Atypical Data.- Chapter 4: Data Security and Privacy.- Chapter 5: Handling Near and Real Time Data.- Chapter 6: Programmable Data Pipelines.- Chapter 7: Data Reusability and Monetization.- Chapter 8: Data Recovery and Protection.- Chapter 9: Applications Integration.- Chapter 10: Machine Learning.

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Book SynopsisGain the knowledge and practical skills needed to deploy a fully functional, secure, and scalable application in AWS EKS. This book is a hands-on guide designed to help you navigate and manage infrastructure in the AWS EKS environment. The book starts by reviewing the concept of DevOps flexibility, emphasizing adaptability to manage changes effectively. It covers foundational elements like IAM basics, user management, and the use of Terraform for infrastructure as code, highlighting the importance of version stability and unique CIDR blocks. Moving forward, you'll explore Kubernetes, and its initial set-up steps, such as configuration management, access control, and storage. You'll also see how to bridge Kubernetes with AWS resources, touching upon service accounts, identity federation, and policy assignment.In the final chapters, the book guides you through the complete setup of a fully working application using Terraform. The book culminates with a step-by-step walkthrough of deploying a complete application environment where you'll generate and distribute access credentials, configure persistent storage, and manage RBAC for users, all using Terraform. Zero-Maintenance Strategies for AWS EKS will provide you with a solid foundation and a toolkit of proven strategies for managing cloud infrastructure. What You Will LearnUnderstand the concept of DevOps flexibility and its practical applicationsAcquire foundational knowledge in IAM basics anduser management. Manage external access to your applications while consolidating load balancing through a single, entry point. Securely configure DNS and SSL, ensuring your application is both accessible and protected. Who This Book Is ForDevOps professionals, IT managers, and software developers who are looking to adopt or improve their DevOps practices, and students and educators in IT-related fields.

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Book SynopsisChapter 1:  Introduction to the Amazon Elastic Kubernetes Service.- Chapter 2: The EKS Architecture and Cluster Access Control.- Chapter 3: EKS Implementations.- Chapter 4: Private Endpoint Access Cluster.- Chapter 5: Hybrid Endpoint Access Cluster.- Chapter 6: Cluster Nodes.- Chapter 7: EKS IP Address Management.- Chapter 8: EKS Addons.- Chapter 9: Identity And Access Management.- Chapter 10: The New Cluster Access Management.- Chapter 11: Kubernetes.- Chapter 12:  Running apps on K8s.- Chapter 13: The Pod Object.- Chapter 14: The Service Object.- Chapter 15: Pod Service Accounts.- Chapter 16: Pod persistent.- Chapter 17: Pod Scaling.- Chapter 18: Pod Monitoring.- Chapter 19: Cluster Scaling.- Chapter 20: App Mesh.

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