Alberto Artasanchez – författare

Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutions

Key Features

Apply AWS Well-Architected Framework concepts to common real-world use casesUnderstand how to select AWS patterns and architectures that are best suited to your needsEnsure the security and stability of a solution without impacting cost or performance

Book Description

One of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects.AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You''ll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples.By the end of this AWS book, you''ll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization''s technological and business requirements.

What you will learn

Rationalize the selection of AWS as the right cloud provider for your organizationChoose the most appropriate service from AWS for a particular use case or projectImplement change and operations managementFind out the right resource type and size to balance performance and efficiencyDiscover how to mitigate risk and enforce security, authentication, and authorizationIdentify common business scenarios and select the right reference architectures for them

Who this book is for

This book is for application and enterprise architects, developers, and operations engineers who want to become well-versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, and cost-effective solutions in the cloud. Although existing AWS users will find this book most useful, it will also help potential users understand how leveraging AWS can benefit their organization.

Apply cloud design patterns to overcome real-world challenges by building scalable, secure, highly available, and cost-effective solutionsKey FeaturesApply AWS Well-Architected Framework concepts to common real-world use casesUnderstand how to select AWS patterns and architectures that are best suited to your needsEnsure the security and stability of a solution without impacting cost or performanceBook DescriptionOne of the most popular cloud platforms in the world, Amazon Web Services (AWS) offers hundreds of services with thousands of features to help you build scalable cloud solutions; however, it can be overwhelming to navigate the vast number of services and decide which ones best suit your requirements. Whether you are an application architect, enterprise architect, developer, or operations engineer, this book will take you through AWS architectural patterns and guide you in selecting the most appropriate services for your projects.AWS for Solutions Architects is a comprehensive guide that covers the essential concepts that you need to know for designing well-architected AWS solutions that solve the challenges organizations face daily. You'll get to grips with AWS architectural principles and patterns by implementing best practices and recommended techniques for real-world use cases. The book will show you how to enhance operational efficiency, security, reliability, performance, and cost-effectiveness using real-world examples.By the end of this AWS book, you'll have gained a clear understanding of how to design AWS architectures using the most appropriate services to meet your organization's technological and business requirements.What you will learnRationalize the selection of AWS as the right cloud provider for your organizationChoose the most appropriate service from AWS for a particular use case or projectImplement change and operations managementFind out the right resource type and size to balance performance and efficiencyDiscover how to mitigate risk and enforce security, authentication, and authorizationIdentify common business scenarios and select the right reference architectures for themWho this book is forThis book is for application and enterprise architects, developers, and operations engineers who want to become well-versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, and cost-effective solutions in the cloud. Although existing AWS users will find this book most useful, it will also help potential users understand how leveraging AWS can benefit their organization.

This is an outdated edition, and we have a new third edition live covering real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.Key FeaturesComprehensive guide to automating, networking, migrating, and adopting cloud technologies using AWSExtensive insights into AWS technologies, including AI/ML, IoT, big data, blockchain, and quantum computing to transform your business.Detailed coverage of AWS solutions architecture and the latest AWS certification requirementsBook DescriptionThe second edition of AWS for Solutions Architects provides a practical guide to designing cloud solutions that align with industry best practices. This updated edition covers the AWS Well-Architected Framework, core design principles, and cloud-native patterns to help you build secure, high-performance, and cost-effective architectures.Gain a deep understanding of AWS networking, hybrid cloud connectivity, and edge deployments. Explore big data processing with EMR, Glue, Kinesis, and MSK, enabling you to extract valuable insights from data efficiently. New chapters introduce CloudOps, machine learning, IoT, and blockchain, equipping you with the knowledge to develop modern cloud solutions.Learn how to optimize AWS storage, implement containerization strategies, and design scalable data lakes. Whether working on simple configurations or complex enterprise architectures, this guide provides the expertise needed to solve real-world cloud challenges and build reliable, high-performing AWS solutions.What you will learnOptimize your Cloud Workload using the AWS Well-Architected FrameworkLearn methods to migrate your workload using the AWS Cloud Adoption FrameworkApply cloud automation at various layers of application workload to increase efficiencyBuild a landing zone in AWS and hybrid cloud setups with deep networking techniquesSelect reference architectures for business scenarios, like data lakes, containers, and serverless appsApply emerging technologies in your architecture, including AI/ML, IoT and blockchainWho this book is forThis book is for application and enterprise architects, developers, and operations engineers who want to become well versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, highly tolerant, and cost-effective solutions in the cloud. Existing AWS users are bound to learn the most, but it will also help those curious about how leveraging AWS can benefit their organization. Prior knowledge of any computing language is not needed, and there’s little to no code. Prior experience in software architecture design will prove helpful.

This is an outdated edition, and we have a new third edition live covering real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices.

Key Features

Comprehensive guide to automating, networking, migrating, and adopting cloud technologies using AWSExtensive insights into AWS technologies, including AI/ML, IoT, big data, blockchain, and quantum computing to transform your business.Detailed coverage of AWS solutions architecture and the latest AWS certification requirements

Book Description

The second edition of AWS for Solutions Architects provides a practical guide to designing cloud solutions that align with industry best practices. This updated edition covers the AWS Well-Architected Framework, core design principles, and cloud-native patterns to help you build secure, high-performance, and cost-effective architectures.Gain a deep understanding of AWS networking, hybrid cloud connectivity, and edge deployments. Explore big data processing with EMR, Glue, Kinesis, and MSK, enabling you to extract valuable insights from data efficiently. New chapters introduce CloudOps, machine learning, IoT, and blockchain, equipping you with the knowledge to develop modern cloud solutions.Learn how to optimize AWS storage, implement containerization strategies, and design scalable data lakes. Whether working on simple configurations or complex enterprise architectures, this guide provides the expertise needed to solve real-world cloud challenges and build reliable, high-performing AWS solutions.

What you will learn

Optimize your Cloud Workload using the AWS Well-Architected FrameworkLearn methods to migrate your workload using the AWS Cloud Adoption FrameworkApply cloud automation at various layers of application workload to increase efficiencyBuild a landing zone in AWS and hybrid cloud setups with deep networking techniquesSelect reference architectures for business scenarios, like data lakes, containers, and serverless appsApply emerging technologies in your architecture, including AI/ML, IoT and blockchain

Who this book is for

This book is for application and enterprise architects, developers, and operations engineers who want to become well versed with AWS architectural patterns, best practices, and advanced techniques to build scalable, secure, highly available, highly tolerant, and cost-effective solutions in the cloud. Existing AWS users are bound to learn the most, but it will also help those curious about how leveraging AWS can benefit their organization. Prior knowledge of any computing language is not needed, and there’s little to no code. Prior experience in software architecture design will prove helpful.

New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more.

Key Features

Completely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbots

Book Description

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.

This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.

Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.

What you will learn

Understand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series data

Who this book is for

The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.