Название: AWS Cloud Automation: In-depth guide to automation using Terraform infrastructure as code solutions Автор: Оluуеmi Jаmеs Оdеуinkа Издательство: BPB Publications Год: 2024 Страниц: 366 Язык: английский Формат: pdf, epub (true) Размер: 10.2 MB AWS Cloud Automation allows organizations to effortlessly organize and handle their cloud resources. Terraform, an open-source provisioning tool, transforms the old manual way of doing things by allowing users to define, deploy, and maintain infrastructure as code, ensuring consistency, scalability, and efficiency. This book explains AWS Cloud Automation using Terraform, which is a simple and clear syntax that lets users define the infrastructure needs. Terraform simplifies setting up and managing infrastructure, reducing errors and fostering team collaboration. It enables version control, letting you monitor changes and implement CI/CD pipelines, effortlessly. The book guides you in creating and managing AWS resources through a simple configuration file, allowing you to define virtual machines, networks, databases, and more. Discover how Terraform makes organizing infrastructure code easy, promoting reusability and simple maintenance with consistent patterns across projects and teams. Amazon Web Services DevOps is a set of practices and tools that are used by AWS to automate and orchestrate the process of cloud infrastructure deployment and software development. DevOps stands for Development and Operations, and it is a software deployment and development methodology that combines the best practices of software development with the best practices of IT operations.
Название: Serverless Development on AWS: Building Enterprise-Scale Serverless Solutions Автор: Shееn Вrisаls, Lukе Неdgеr Издательство: O’Reilly Media, Inc. Год: 2024 Страниц: 501 Язык: английский Формат: pdf (true), epub (true) Размер: 18.4 MB, 14.0 MB The adoption of serverless is on the rise, but until now, little guidance has been available for development teams that want to apply this technology on AWS. This definitive guide is packed with architectural, security, and data best practices and patterns for architects and engineers who want to build reliable enterprise-scale serverless solutions. Sheen Brisals, an AWS Serverless Hero, and Luke Hedger, an AWS Community Builder, outline the serverless adoption requirements for an enterprise, examine the development tools your team needs, and explain in depth the nuances of testing event-driven and distributed serverless services. You'll gain practical guidance for keeping up with change and learn how to build serverless solutions with sustainability in mind. By no means is this book a one-stop solution to all your serverless queries and worries. It is a collection of options and ideas that you can draw upon to prepare your serverless meal according to your and your organization’s dietary requirements. Along with serverless technology, the popularity of several development frameworks, runtimes, build and infrastructure tools, etc., is also on the rise. Consequently, there are as many approaches to implementing your application as there are frameworks and runtimes out there. As suggested by the widespread phrase in the software industry, the code you write today is legacy tomorrow, it is hard to maintain the code you have written today in this fast-evolving technology space.
Название: Architecting a Modern Data Warehouse for Large Enterprises Автор: Аnjаni Кumаr, Аbhishеk Мishrа, Sаnjееv Кumаr Издательство: Apress Год: 2024 Страниц: 378 Язык: английский Формат: pdf Размер: 10.1 MB Design 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.
Название: Demystifying DevSecOps in AWS: Achieve operational excellence in the cloud with DevSecOps Автор: Рiсklu Раul Издательство: BPB Publications Год: 2024 Страниц: 463 Язык: английский Формат: epub (true) Размер: 19.4 MB Learn how to leverage DevSecOps to secure your modern enterprise in the cloud. “Demystifying DevSecOps in AWS” is a practical and insightful handbook designed to empower you in your pursuit of securing modern enterprises within Amazon Web Services (AWS) environments. This book delves deep into the world of DevSecOps, offering a thorough understanding of its fundamentals, principles, methodologies, and real-world implementation strategies. It equips you with the knowledge and skills needed to seamlessly integrate security into your development and operations workflows, fostering a culture of continuous improvement and risk mitigation. With step-by-step guidance and real-world examples, this comprehensive guide navigates the intricate landscape of AWS, showcasing how to leverage its services and tools to enhance security throughout the DevSecOps lifecycle. It bridges the gap between development, security, and operations teams, fostering collaboration and automation to fortify AWS pipelines. This book is your one-stop shop for mastering DevSecOps in AWS. With it, you'll be able to protect your applications and data, and achieve operational excellence in the cloud. This book is not just a guide; it's a collaborative effort to demystify DevSecOps principles, AWS security practices, and their real-world implementation. Whether you're a seasoned AWS practitioner, a cybersecurity expert, a DevOps enthusiast, or an academic researcher, this book empowers you to master DevSecOps in AWS. It seamlessly integrates security into your development and operations workflows, fostering collaboration and automation to safeguard your applications and data while achieving operational excellence in the cloud.
Название: AWS IoT With Edge ML and Cybersecurity: A Hands-On Approach Автор: Sуеd Rеhаn Издательство: Apress Год: 2024 Страниц: 355 Язык: английский Формат: pdf Размер: 15.2 MB In an era where the fusion of connectivity and technology is redefining industries, this book is a must-have guide for aspiring technologists and seasoned professionals alike. This meticulously crafted handbook guides you through every aspect of AWS IoT, touching upon vital spheres such as edge computing, machine learning, and industrial IoT, with a distinct spotlight on cybersecurity. Over the course of this book, industry veteran Syed Rehad unveils the secrets to setting up your AWS IoT environment and walks you through advanced concepts such as leveraging MQTT, mastering Digital Twin implementation, and plumbing the depths of edge machine learning. Whether you're experimenting with virtual devices or hands-on with Raspberry Pi setups, this book will steer you towards innovation and a transformative journey where technology meets intelligence and security, all under the expansive umbrella of AWS IoT. For IoT developers and enthusiasts, professionals who want to implement IoT solutions in industrial scenarios, system architects and designers interested in edge machine learning, business intelligence analysts, and cybersecurity professionals.
Название: A Beginners Guide to Amazon Web Services Автор: Раrul Dubеу, Rоhit Rаjа Издательство: CRC Press Год: 2024 Страниц: 211 Язык: английский Формат: pdf (true) Размер: 35.1 MB Amazon Web Services (AWS) provides on-demand cloud computing platforms and application programming interfaces (APIs) to individuals, companies, and govern- ments, along with distributed computing processing capacity and software tools via AWS server farms. This text presents a hands-on approach for beginners to get started with Amazon Web Services (AWS) in a simple way. This book is your companion on the journey to understanding and navigating AWS, whether you’re a developer, a system administrator, an IT professional, or simply someone curious about cloud computing. Our aim is to provide a comprehensive and accessible guide that empowers beginners to confidently explore and utilize the power of AWS. In the pages that follow, we have structured the content in a logical and progressive manner, ensuring that you build a solid foundation before diving into more advanced topics. We explain the fundamental concepts of cloud computing and introduce you to the core services offered by AWS. From there, we guide you through setting up your AWS account, configuring tools, and gaining access to the AWS Management Console. We hope that this book serves as a valuable resource on your journey to mastering AWS. Whether you’re starting a new project, migrating existing systems to the cloud, or expanding your skill set, AWS offers endless possibilities. By understanding the core concepts and leveraging the services provided by AWS, you’ll be well equipped to innovate, streamline operations, and accelerate growth.
Название: Generative AI on AWS: Building Context-Aware Multimodal Reasoning Applications Автор: Сhris Frеglу, Аntjе Ваrth, Shеlbее Еigеnbrоdе Издательство: O’Reilly Media, Inc. Год: 2024 Страниц: 309 Язык: английский Формат: epub (true) Размер: 42.1 MB Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology. You'll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment. And you'll explore different types of models including large language models (LLMs) and multimodal models such as Stable Diffusion for generating images and Flamingo/IDEFICS for answering questions about images. A basic understanding of Python and deep learning frameworks such as TensorFlow or PyTorch should be sufficient to understand the code samples used throughout the book. Familiarity with AWS is not required to learn the concepts, but it is useful for some of the AWS-specific samples.
Название: The Illustrated AWS Cloud: A Guide to Help You on Your Cloud Practitioner Journey Автор: Jеn Lооpеr, Dеnisе Yu Издательство: Wiley Год: 2024 Страниц: 195 Язык: английский Формат: pdf (true) Размер: 13.9 MB An intuitive, fully illustrated guide to Amazon Web Services for the visually oriented. In The Illustrated AWS Cloud: A Guide to Help You On Your Cloud Practitioner Journey, a team of veteran tech educators delivers a visual and entertaining guide to Amazon Web Services cloud concepts. The authors focus on the job role and responsibilities of an AWS cloud practitioner, guiding readers through choosing the best AWS services for specific use cases. The Illustrated AWS Cloud is an effective resource for business, finance, sales, and marketing professionals who support and collaborate with AWS tech professionals.
Название: AWS Certified Advanced Networking Study Guide: Specialty (ANS-C01) Exam, 2nd Edition Автор: Todd Montgomery Издательство: Sybex Год: 2024 Страниц: 595 Язык: английский Формат: pdf (true) Размер: 16.9 MB The latest edition of the official study guide for the AWS Advanced Networking certification specialty exam. The newly revised second edition of the AWS Certified Advanced Networking Study Guide: Specialty (ANS-C01) Exam delivers an expert review of Amazon Web Services Networking fundamentals as they relate to the ANS-C01 exam. You’ll find detailed explanations of critical exam topics combined with real-world scenarios that will help you build the robust knowledge base you need for the test―and to succeed in the field as an AWS Certified Networking specialist. Learn about the design, implementation and deployment of AWS cloud-based Networking solutions, core services implementation, AWS service architecture design and maintenance (including architectural best practices), monitoring, Hybrid networks, security, compliance, governance, and network automation. The book coveted AWS Advanced Networking credential proves your skills with Amazon Web Services and hybrid IT network architectures at scale. It assesses your ability to apply deep technical knowledge to the design and implementation of AWS Networking services. This book provides you with comprehensive review and practice opportunities so you can succeed on the challenging ANS-C01 exam the first time around.
Название: Multi-Cloud Administration Guide: Manage and optimize cloud resources across Azure, AWS, GCP, and Alibaba Cloud Автор: Jeroen Mulder Издательство: BPB Publications Год: 2024 Страниц: 597 Язык: английский Формат: pdf, epub Размер: 10.2 MB A comprehensive guide to Multi-Cloud Administration for Cloud professionals. In today's landscape, organizations are embracing multi-cloud strategies to harness the advantages offered by multiple cloud providers. If you want to develop the necessary skills and expertise in managing multi-cloud environments, then this book is tailor-made for you. This is a comprehensive guide that equips you with the knowledge and skills needed to manage multiple cloud environments effectively. The book begins by exploring the Cloud Adoption Frameworks, providing a solid foundation for understanding multi-cloud strategies. It then covers topics such as virtualizing and managing connectivity, storage, and compute resources across different clouds. The book also discusses creating interoperability, managing data in a multi-cloud environment, and building and operating cloud-native applications. Lastly, it covers containerization, serverless computing, access management, security, and automating compliance. Throughout the book, you will hopefully find solutions, techniques, designs, and administrative guidance for various types of multi-cloud environments, using AWS, Azure, GCP and Alibaba Cloud. Why these? Because these are the most used clouds.
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