Aws Architecture Diagram Examples

  aws architecture diagram examples: AWS for Solutions Architects Alberto Artasanchez, 2021-02-19 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 cases Understand how to select AWS patterns and architectures that are best suited to your needs Ensure the security and stability of a solution without impacting cost or performance Book 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 learn Rationalize the selection of AWS as the right cloud provider for your organization Choose the most appropriate service from AWS for a particular use case or project Implement change and operations management Find out the right resource type and size to balance performance and efficiency Discover how to mitigate risk and enforce security, authentication, and authorization Identify 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.
  aws architecture diagram examples: Architectural Diagrams Mi Young Pyo, 2015 The trendsetting architect Rem Koolhaas has carried it out to perfection, whereas the next generation of international stars refined it even more, giving us the unconventional presentation of designs and ideas in the form of diagrams. This method of presentation is easy to understand when dealing with the client and can be communicated internationally, beyond language and cultural barriers - a product of our globalised world. However, diagrams are now much more than explanations and form their own discipline in creative professions connected to design and construction. What looks simple is in fact a complex matter. This title in the series Construction and Design Manual is in its second edition and assembles 384 pages of diagrams by avant-garde architects and designers who specialise in public space, landscape architecture and urban planning.
  aws architecture diagram examples: Realize Enterprise Architecture with AWS and SAFe Rajnish Harjika, 2022-09-16 Harness the power of enterprise architecture, AWS, and agile methodologies to optimize operational efficiency in your organization Key FeaturesUse EA and agile practices to maximize your organization's operational efficiencyLearn how to use EA approaches in AWS through their prescriptive frameworksAlign SAFe principles with EA and cloud migrationBook Description Agile implementation of enterprise architecture (EA) in the cloud is a powerful organizational tool, but it is challenging, particularly for architects who are used to on-premises environments. This in-depth guide will tell you all you need to know to reap the benefits of applying EA in your organization to achieve operational efficiency. Starting with an overview of the foundations of enterprise architecture, you'll see how it can be applied to AWS as well as explore the frameworks AWS provides for EA, such as the AWS Well-Architected Framework. That's not all – the book shows you how these frameworks align with The Open Group Architecture Framework (TOGAF) architecture development method (ADM) and the Zachman Framework so that you can choose the right fit for your organization. As you advance, you'll learn how to apply SAFe to make your organization agile as well as efficient. Once you've gotten to grips with the theory, you can explore use cases and take a quiz at the end of the book to test yourself and see how EA is applied in practice. By the end of this enterprise architecture book, you'll have the skills and knowledge required to apply EA in the cloud with AWS and drive your organization to become super-efficient and agile. What you will learnSet up the core foundation of your enterprise architectureDiscover how TOGAF relates to enterprise architectureExplore AWS's EA frameworks and find out which one is the best for youUse SAFe to maximize agility in your organizationFind out how to use ArchiMate to model your architectureEstablish proper EA practices in your organizationMigrate to the cloud with AWS and SAFeWho this book is for This agility book is for experienced and inexperienced solutions architects, enterprise architects, and cloud architects who know the basics of software and solutions architecture, along with cloud fundamentals, and are looking to get started with AWS and SAFe to implement enterprise architecture in the cloud.
  aws architecture diagram examples: Data Engineering with AWS Gareth Eagar, 2021-12-29 The missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert Book DescriptionWritten by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.What you will learn Understand data engineering concepts and emerging technologies Ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Run complex SQL queries on data lake data using Amazon Athena Load data into a Redshift data warehouse and run queries Create a visualization of your data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Who this book is for This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
  aws architecture diagram examples: Modern Data Architecture on AWS Behram Irani, 2023-08-31 Discover all the essential design and architectural patterns in one place to help you rapidly build and deploy your modern data platform using AWS services Key Features Learn to build modern data platforms on AWS using data lakes and purpose-built data services Uncover methods of applying security and governance across your data platform built on AWS Find out how to operationalize and optimize your data platform on AWS Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany IT leaders and professionals are adept at extracting data from a particular type of database and deriving value from it. However, designing and implementing an enterprise-wide holistic data platform with purpose-built data services, all seamlessly working in tandem with the least amount of manual intervention, still poses a challenge. This book will help you explore end-to-end solutions to common data, analytics, and AI/ML use cases by leveraging AWS services. The chapters systematically take you through all the building blocks of a modern data platform, including data lakes, data warehouses, data ingestion patterns, data consumption patterns, data governance, and AI/ML patterns. Using real-world use cases, each chapter highlights the features and functionalities of numerous AWS services to enable you to create a scalable, flexible, performant, and cost-effective modern data platform. By the end of this book, you’ll be equipped with all the necessary architectural patterns and be able to apply this knowledge to efficiently build a modern data platform for your organization using AWS services.What you will learn Familiarize yourself with the building blocks of modern data architecture on AWS Discover how to create an end-to-end data platform on AWS Design data architectures for your own use cases using AWS services Ingest data from disparate sources into target data stores on AWS Build data pipelines, data sharing mechanisms, and data consumption patterns using AWS services Find out how to implement data governance using AWS services Who this book is for This book is for data architects, data engineers, and professionals creating data platforms. The book's use case–driven approach helps you conceptualize possible solutions to specific use cases, while also providing you with design patterns to build data platforms for any organization. It's beneficial for technical leaders and decision makers to understand their organization's data architecture and how each platform component serves business needs. A basic understanding of data & analytics architectures and systems is desirable along with beginner’s level understanding of AWS Cloud.
  aws architecture diagram examples: Building and Delivering Microservices on AWS Amar Deep Singh, 2023-05-30 Quickly deliver microservices with CodeCommit, CodeBuild, CodeDeploy, and CodePipeline using software architecture patterns, microservices, and release pipelines Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn software architecture and microservices design patterns from an AWS certified professional architect Develop microservices using Spring Boot and automate the release using CodePipeline Deploy microservices using CodeDeploy to EC2 instances, containers, and on premises Book DescriptionReliable automation is crucial for any code change going into production. A release pipeline enables you to deliver features for your users efficiently and promptly. AWS CodePipeline, with its powerful integration and automation capabilities of building, testing, and deployment, offers a unique solution to common software delivery issues such as outages during deployment, a lack of standard delivery mechanisms, and challenges faced in creating sustainable pipelines. You’ll begin by developing a Java microservice and using AWS services such as CodeCommit, CodeArtifact, and CodeGuru to manage and review the source code. You’ll then learn to use the AWS CodeBuild service to build code and deploy it to AWS infrastructure and container services using the CodeDeploy service. As you advance, you’ll find out how to provision cloud infrastructure using CloudFormation templates and Terraform. The concluding chapters will show you how to combine all these AWS services to create a reliable and automated CodePipeline for delivering microservices from source code check-in to deployment without any downtime. Finally, you’ll discover how to integrate AWS CodePipeline with third-party services such as Bitbucket, Blazemeter, Snyk, and Jenkins. By the end of this microservices book, you’ll have gained the hands-on skills to build release pipelines for your applications.What you will learn Understand the basics of architecture patterns and microservice development Get to grips with the continuous integration and continuous delivery of microservices Delve into automated infrastructure provisioning with CloudFormation and Terraform Explore CodeCommit, CodeBuild, CodeDeploy, and CodePipeline services Get familiarized with automated code reviews and profiling using CodeGuru Grasp AWS Lambda function basics and automated deployment using CodePipeline Understand Docker basics and automated deployment to ECS and EKS Explore the CodePipeline integration with Jenkins Pipeline and on premises deployment Who this book is for This book is for software architects, DevOps engineers, SREs, and cloud engineers who want to learn more about automating their release pipelines for modifying features and releasing updates. Prior knowledge of AWS Cloud, Java, Maven, and Git will help you to get the most out of this book.
  aws architecture diagram examples: The Software Architect Elevator Gregor Hohpe, 2020-04-08 As the digital economy changes the rules of the game for enterprises, the role of software and IT architects is also transforming. Rather than focus on technical decisions alone, architects and senior technologists need to combine organizational and technical knowledge to effect change in their company’s structure and processes. To accomplish that, they need to connect the IT engine room to the penthouse, where the business strategy is defined. In this guide, author Gregor Hohpe shares real-world advice and hard-learned lessons from actual IT transformations. His anecdotes help architects, senior developers, and other IT professionals prepare for a more complex but rewarding role in the enterprise. This book is ideal for: Software architects and senior developers looking to shape the company’s technology direction or assist in an organizational transformation Enterprise architects and senior technologists searching for practical advice on how to navigate technical and organizational topics CTOs and senior technical architects who are devising an IT strategy that impacts the way the organization works IT managers who want to learn what’s worked and what hasn’t in large-scale transformation
  aws architecture diagram examples: Software Architecture Patterns for Serverless Systems John Gilbert, Ed Price, 2021-07-30 A professional's guide to solving complex problems while designing modern software Key FeaturesLearn best practices for designing enterprise-grade software systems from a seasoned CTODeeper your understanding of system reliability, maintainability, and scalabilityElevate your skills to a professional level by learning the most effective software design patterns and architectural conceptsBook Description As businesses are undergoing a digital transformation to keep up with competition, it is now more important than ever for IT professionals to design systems to keep up with the rate of change while maintaining stability. This book takes you through the architectural patterns that power enterprise-grade software systems and the key architectural elements that enable change (such as events, autonomous services, and micro frontends), along with showing you how to implement and operate anti-fragile systems. First, you'll divide up a system and define boundaries so that your teams can work autonomously and accelerate innovation. You'll cover low-level event and data patterns that support the entire architecture, while getting up and running with the different autonomous service design patterns. Next, the book will focus on best practices for security, reliability, testability, observability, and performance. You'll combine all that you've learned and build upon that foundation, exploring the methodologies of continuous experimentation, deployment, and delivery before delving into some final thoughts on how to start making progress. By the end of this book, you'll be able to architect your own event-driven, serverless systems that are ready to adapt and change so that you can deliver value at the pace needed by your business. What you will learnExplore architectural patterns to create anti-fragile systems that thrive with changeFocus on DevOps practices that empower self-sufficient, full-stack teamsBuild enterprise-scale serverless systemsApply microservices principles to the frontendDiscover how SOLID principles apply to software and database architectureCreate event stream processors that power the event sourcing and CQRS patternDeploy a multi-regional system, including regional health checks, latency-based routing, and replicationExplore the Strangler pattern for migrating legacy systemsWho this book is for This book is for software architects who want to learn more about different software design patterns and best practices. This isn't a beginner's manual – you'll need an intermediate level of programming proficiency and software design to get started. You'll get the most out of this software design book if you already know the basics of the cloud, but it isn't a prerequisite.
  aws architecture diagram examples: Practical AWS Networking Mitesh Soni, 2018-01-04 Your one step guide to learn all about AWS networking. Key Features Master your networking skills on Public Cloud Gain hands-on experience of using Amazon VPC, Elastic Load Balancing, Direct Connect and other AWS products Implement troubleshooting skills and best practices for security on AWS network Book Description Amazon Web Services (AWS) dominates the public cloud market by a huge margin and continues to be the first choice for many organizations. Networking has been an area of focus for all the leading cloud service providers. AWS has a suite of network-related products which help in performing network related task on AWS. This book initially covers the basics of networking in AWS. Then we use AWS VPC to create an isolated virtual cloud for performing network-related tasks. We then provide an overview of AWS Direct Connect after taking a deep dive into scalability and load balancing using the auto scaling feature, Elastic Load Balancing, and Amazon Route S3. Toward the end of the book, we cover troubleshooting tips and security best practices for your network. By the end of this book, you will have hands-on experience of working with network tasks on AWS. What you will learn Overview of all networking services available in AWS Gain work with load balance applications across different regions Learn auto scale instances based on increases and decreases in traffic Deploy applications in a highly available and fault tolerant manner Configure Route 53 for a web application Troubleshooting tips and best practices Who this book is for This book is for cloud architects, cloud solution providers, or any stakeholders dealing with networking on AWS Cloud. A prior idea of Amazon Web Services will be an added advantage.
  aws architecture diagram examples: Cloud Computing Thomas Erl, Ricardo Puttini, Zaigham Mahmood, 2013 This book describes cloud computing as a service that is highly scalable and operates in a resilient environment. The authors emphasize architectural layers and models - but also business and security factors.
  aws architecture diagram examples: Scalable Data Architecture with Java Sinchan Banerjee, 2022-09-30 Orchestrate data architecting solutions using Java and related technologies to evaluate, recommend and present the most suitable solution to leadership and clients Key FeaturesLearn how to adapt to the ever-evolving data architecture technology landscapeUnderstand how to choose the best suited technology, platform, and architecture to realize effective business valueImplement effective data security and governance principlesBook Description Java architectural patterns and tools help architects to build reliable, scalable, and secure data engineering solutions that collect, manipulate, and publish data. This book will help you make the most of the architecting data solutions available with clear and actionable advice from an expert. You'll start with an overview of data architecture, exploring responsibilities of a Java data architect, and learning about various data formats, data storage, databases, and data application platforms as well as how to choose them. Next, you'll understand how to architect a batch and real-time data processing pipeline. You'll also get to grips with the various Java data processing patterns, before progressing to data security and governance. The later chapters will show you how to publish Data as a Service and how you can architect it. Finally, you'll focus on how to evaluate and recommend an architecture by developing performance benchmarks, estimations, and various decision metrics. By the end of this book, you'll be able to successfully orchestrate data architecture solutions using Java and related technologies as well as to evaluate and present the most suitable solution to your clients. What you will learnAnalyze and use the best data architecture patterns for problemsUnderstand when and how to choose Java tools for a data architectureBuild batch and real-time data engineering solutions using JavaDiscover how to apply security and governance to a solutionMeasure performance, publish benchmarks, and optimize solutionsEvaluate, choose, and present the best architectural alternativesUnderstand how to publish Data as a Service using GraphQL and a REST APIWho this book is for Data architects, aspiring data architects, Java developers and anyone who wants to develop or optimize scalable data architecture solutions using Java will find this book useful. A basic understanding of data architecture and Java programming is required to get the best from this book.
  aws architecture diagram examples: Optimizing Your Modernization Journey with AWS Mridula Grandhi, 2023-07-07 A strategic guide that will help you make key decisions related to cloud-based architectures, modernize your infrastructure and applications, and transform your business using AWS with real-world case studies Key Features Learn cloud migration and modernization strategies on AWS Innovate your applications, data, architecture and networking by adopting AWS Leverage AWS technologies with real world use-cases to implement cloud operations Purchase of the print or Kindle book includes a free eBook in the PDF format Book Description AWS cloud technologies help businesses scale and innovate, however, adopting modern architecture and applications can be a real challenge. This book is a comprehensive guide that ensures your switch to AWS services is smooth and hitch-free. It will enable you to make optimal decisions to bring out the best ROI from AWS cloud adoption. Beginning with nuances of cloud transformation on AWS, you'll be able to plan and implement the migration steps. The book will facilitate your system modernization journey by getting you acquainted with various technical domains, namely, applications, databases, big data, analytics, networking, and security. Once you've learned about the different operations, budgeting, and management best practices such as the 6 Rs of migration approaches and the AWS Well-Architected Framework, you'll be able to achieve operational excellence in cloud adoption. You'll also learn how to deploy some of the important AWS tools and services with real-life case studies and use cases. By the end of this book, you'll be able to successfully implement cloud migration and modernization on AWS and make decisions that best suit your organization. What you will learn Strategize approaches for cloud adoption and digital transformation Understand the catalysts for business reinvention Select the right tools for cloud migration and modernization processes Leverage the potential of AWS to maximize the value of cloud investments Understand the importance of implementing secure workloads on the cloud Explore AWS services such as computation, databases, security, and networking Implement various real-life use cases and technology case studies for modernization Discover the benefits of operational excellence on the cloud Who this book is for If you are a cloud enthusiast, solutions architect, enterprise technologist, or a C-suite executive and want to learn about the strategies and AWS services to transform your IT portfolio, this book is for you. Basic knowledge of AWS services and an understanding of technologies such as computation, databases, networking, and security will be helpful.
  aws architecture diagram examples: Microservices in Action Morgan Bruce, Paulo A Pereira, 2018-10-03 The one [and only] book on implementing microservices with a real-world, cover-to-cover example you can relate to. - Christian Bach, Swiss Re Microservices in Action is a practical book about building and deploying microservice-based applications. Written for developers and architects with a solid grasp of service-oriented development, it tackles the challenge of putting microservices into production. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Invest your time in designing great applications, improving infrastructure, and making the most out of your dev teams. Microservices are easier to write, scale, and maintain than traditional enterprise applications because they're built as a system of independent components. Master a few important new patterns and processes, and you'll be ready to develop, deploy, and run production-quality microservices. About the Book Microservices in Action teaches you how to write and maintain microservice-based applications. Created with day-to-day development in mind, this informative guide immerses you in real-world use cases from design to deployment. You'll discover how microservices enable an efficient continuous delivery pipeline, and explore examples using Kubernetes, Docker, and Google Container Engine. What's inside An overview of microservice architecture Building a delivery pipeline Best practices for designing multi-service transactions and queries Deploying with containers Monitoring your microservices About the Reader Written for intermediate developers familiar with enterprise architecture and cloud platforms like AWS and GCP. About the Author Morgan Bruce and Paulo A. Pereira are experienced engineering leaders. They work daily with microservices in a production environment, using the techniques detailed in this book. Table of Contents Designing and running microservices Microservices at SimpleBank Architecture of a microservice application Designing new features Transactions and queries in microservices Designing reliable services Building a reusable microservice framework Deploying microservices Deployment with containers and schedulers Building a delivery pipeline for microservices Building a monitoring system Using logs and traces to understand behavior Building microservice teams PART 1 - The lay of the land PART 2 - Design PART 3 - Deployment PART 4 - Observability and ownership
  aws architecture diagram examples: AWS DevOps Engineer Professional Certification Guide Sumit Kapoor, 2024-04-21 Crack the exam and become an expert in provisioning, operating, and managing distributed application systems on the AWS platform KEY FEATURES ● This book offers real-world and hands-on examples that will prepare you to take the exam with confidence. ● Enhance your abilities for efficient interdepartmental communication, fostering cost-effective business solutions. ● Includes mock exams with explanations for self-assessment and boosting confidence. DESCRIPTION The AWS DevOps Engineer Professional Certification Guide is highly challenging and can significantly boost one's career. It features scenario-based questions with lengthy descriptions, making comprehension tough. This book focuses extensively on AWS Developer Tools, CloudFormation, Elastic Beanstalk, OpsWorks, and other crucial topics, representing the exam's domain. The readers can easily prepare for the AWS Certified DevOps Engineer - Professional exam with this guide drafted with a focus on managing infrastructure and applications on AWS. It covers secure version control with CodeCommit, automated code building with CodeBuild, and streamlined updates with CodeDeploy and CodePipeline. You will learn to create secure CI/CD pipelines and define AWS infrastructure and applications with CloudFormation. The readers will explore the management of multiple AWS accounts, security tools, and automation with OpsWorks and Elastic Beanstalk. You will also discover strategies for scalability, disaster recovery, monitoring with CloudWatch, and performance analysis with Kinesis Data Streams. Finally, you will learn to implement automated responses and security best practices with AWS Config and Inspector. Successfully passing this exam will help you gain advanced technical skills needed to become a DevOps subject matter expert and earn a good remuneration in the IT industry. WHAT YOU WILL LEARN ● Set up automated code building, testing, and deployment. ● Automate the configuration and deployment in AWS for efficiency. ● Design infrastructure and applications on AWS that handle high traffic and unexpected situations. ● Gain insights into infrastructure and application performance on AWS with advanced monitoring tools. ● Learn about best practices for securing infrastructure and applications on AWS, like access control, encryption, vulnerability scanning, and incident response procedures. WHO THIS BOOK IS FOR This book is ideal for IT professionals, like cloud engineers, DevOps engineers, and system administrators, who want to build and manage secure, scalable websites on AWS. It equips them with the knowledge to become a certified AWS DevOps Engineer - Professional. TABLE OF CONTENTS 1. Continuous Integration with CodeCommit and CodeBuild 2. Continuous Delivery with CodeDeploy and CodePipeline 3. Cross-Account CI/CD Pipelines and Testing 4. Infrastructure as Code Using CloudFormation 5. Automated Account Management and Security in AWS 6. Automation Using OpsWorks and Elastic Beanstalk 7. Implement High Availability, Scalability, and Fault Tolerance 8. Design and Automate Disaster Recovery Strategies 9. Automate Monitoring and Event Management 10. Auditing, Logging and Monitoring Containers and Applications 11. Troubleshooting and Restoring Operations 12. Setup Event-Driven Automated Actions 13. Implement Governance Strategies and Cost Optimization 14. Advanced Security, Access Control, and Identity Management 15. Mock Exam: 1 16. Mock Exam: 2
  aws architecture diagram examples: Solutions Architect's Handbook Saurabh Shrivastava, Neelanjali Srivastav, 2022-01-17 Third edition out now with coverage on Generative AI, clean architecture, edge computing, and more Key Features Turn business needs into end-to-end technical architectures with this practical guide Assess and overcome various challenges while updating or modernizing legacy applications Future-proof your architecture with IoT, machine learning, and quantum computing Book DescriptionBecoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This handbook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish. This new edition features additional chapters on disruptive technologies, such as Internet of Things (IoT), quantum computing, data engineering, and machine learning. It also includes updated discussions on cloud-native architecture, blockchain data storage, and mainframe modernization with public cloud. The Solutions Architect's Handbook provides an understanding of solution architecture and how it fits into an agile enterprise environment. It will take you through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and the cloud-native aspects of modern software design. By the end of this handbook, you'll have learned the techniques needed to create efficient architecture designs that meet your business requirements.What you will learn Explore the various roles of a solutions architect in the enterprise landscape Implement key design principles and patterns to build high-performance cost-effective solutions Choose the best strategies to secure your architectures and increase their availability Modernize legacy applications with the help of cloud integration Understand how big data processing, machine learning, and IoT fit into modern architecture Integrate a DevOps mindset to promote collaboration, increase operational efficiency, and streamline production Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Existing solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and general programming experience in any language.
  aws architecture diagram examples: Security Architecture for Hybrid Cloud Mark Buckwell, Stefaan Van daele, Carsten Horst, 2024-07-25 As the transformation to hybrid multicloud accelerates, businesses require a structured approach to securing their workloads. Adopting zero trust principles demands a systematic set of practices to deliver secure solutions. Regulated businesses, in particular, demand rigor in the architectural process to ensure the effectiveness of security controls and continued protection. This book provides the first comprehensive method for hybrid multicloud security, integrating proven architectural techniques to deliver a comprehensive end-to-end security method with compliance, threat modeling, and zero trust practices. This method ensures repeatability and consistency in the development of secure solution architectures. Architects will learn how to effectively identify threats and implement countermeasures through a combination of techniques, work products, and a demonstrative case study to reinforce learning. You'll examine: The importance of developing a solution architecture that integrates security for clear communication Roles that security architects perform and how the techniques relate to nonsecurity subject matter experts How security solution architecture is related to design thinking, enterprise security architecture, and engineering How architects can integrate security into a solution architecture for applications and infrastructure using a consistent end-to-end set of practices How to apply architectural thinking to the development of new security solutions About the authors Mark Buckwell is a cloud security architect at IBM with 30 years of information security experience. Carsten Horst with more than 20 years of experience in Cybersecurity is a certified security architect and Associate Partner at IBM. Stefaan Van daele has 25 years experience in Cybersecurity and is a Level 3 certified security architect at IBM.
  aws architecture diagram examples: AWS for Solutions Architects Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed, Dr. Siddhartha Choubey Ph.D, 2023-04-28 Become a master Solutions Architect with this comprehensive guide, featuring cloud design patterns and real-world solutions for building scalable, secure, and highly available systems Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Gain expertise in automating, networking, migrating, and adopting cloud technologies using AWS Use streaming analytics, big data, AI/ML, IoT, quantum computing, and blockchain to transform your business Upskill yourself as an AWS solutions architect and explore details of the new AWS certification Book Description Are you excited to harness the power of AWS and unlock endless possibilities for your business? Look no further than the second edition of AWS for Solutions Architects! Packed with all-new content, this book is a must-have guide for anyone looking to build scalable cloud solutions and drive digital transformation using AWS. This updated edition offers in-depth guidance for building cloud solutions using AWS. It provides detailed information on AWS well-architected design pillars and cloud-native design patterns. You'll learn about networking in AWS, big data and streaming data processing, CloudOps, and emerging technologies such as machine learning, IoT, and blockchain. Additionally, the book includes new sections on storage in AWS, containers with ECS and EKS, and data lake patterns, providing you with valuable insights into designing industry-standard AWS architectures that meet your organization's technological and business requirements. Whether you're an experienced solutions architect or just getting started with AWS, this book has everything you need to confidently build cloud-native workloads and enterprise solutions. What you will learn Optimize your Cloud Workload using the AWS Well-Architected Framework Learn methods to migrate your workload using the AWS Cloud Adoption Framework Apply cloud automation at various layers of application workload to increase efficiency Build a landing zone in AWS and hybrid cloud setups with deep networking techniques Select reference architectures for business scenarios, like data lakes, containers, and serverless apps Apply 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.
  aws architecture diagram examples: Microservices Patterns Chris Richardson, 2018-10-27 A comprehensive overview of the challenges teams face when moving to microservices, with industry-tested solutions to these problems. - Tim Moore, Lightbend 44 reusable patterns to develop and deploy reliable production-quality microservices-based applications, with worked examples in Java Key Features 44 design patterns for building and deploying microservices applications Drawing on decades of unique experience from author and microservice architecture pioneer Chris Richardson A pragmatic approach to the benefits and the drawbacks of microservices architecture Solve service decomposition, transaction management, and inter-service communication Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Microservices Patterns teaches you 44 reusable patterns to reliably develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for composing services into systems that scale and perform under real-world conditions. More than just a patterns catalog, this practical guide with worked examples offers industry-tested advice to help you design, implement, test, and deploy your microservices-based application. What You Will Learn How (and why!) to use microservices architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns This Book Is Written For Written for enterprise developers familiar with standard enterprise application architecture. Examples are in Java. About The Author Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning’s POJOs in Action, and creator of the original CloudFoundry.com. Table of Contents Escaping monolithic hell Decomposition strategies Interprocess communication in a microservice architecture Managing transactions with sagas Designing business logic in a microservice architecture Developing business logic with event sourcing Implementing queries in a microservice architecture External API patterns Testing microservices: part 1 Testing microservices: part 2 Developing production-ready services Deploying microservices Refactoring to microservices
  aws architecture diagram examples: Just Enough Software Architecture George Fairbanks, 2010-08-30 This is a practical guide for software developers, and different than other software architecture books. Here's why: It teaches risk-driven architecting. There is no need for meticulous designs when risks are small, nor any excuse for sloppy designs when risks threaten your success. This book describes a way to do just enough architecture. It avoids the one-size-fits-all process tar pit with advice on how to tune your design effort based on the risks you face. It democratizes architecture. This book seeks to make architecture relevant to all software developers. Developers need to understand how to use constraints as guiderails that ensure desired outcomes, and how seemingly small changes can affect a system's properties. It cultivates declarative knowledge. There is a difference between being able to hit a ball and knowing why you are able to hit it, what psychologists refer to as procedural knowledge versus declarative knowledge. This book will make you more aware of what you have been doing and provide names for the concepts. It emphasizes the engineering. This book focuses on the technical parts of software development and what developers do to ensure the system works not job titles or processes. It shows you how to build models and analyze architectures so that you can make principled design tradeoffs. It describes the techniques software designers use to reason about medium to large sized problems and points out where you can learn specialized techniques in more detail. It provides practical advice. Software design decisions influence the architecture and vice versa. The approach in this book embraces drill-down/pop-up behavior by describing models that have various levels of abstraction, from architecture to data structure design.
  aws architecture diagram examples: Serverless Architectures on AWS Peter Sbarski, Sam Kroonenburg, 2017-04-17 Summary Serverless Architectures on AWS teaches you how to build, secure and manage serverless architectures that can power the most demanding web and mobile apps. Forewords by Patrick Debois (Founder of devopsdays) and Dr. Donald F. Ferguson (Columbia University). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology There's a shift underway toward serverless cloud architectures. With the release of serverless computer technologies such as AWS Lambda, developers are now building entirely serverless platforms at scale. In these new architectures, traditional back-end servers are replaced with cloud functions acting as discrete single-purpose services. By composing and combining these serverless cloud functions together in a loose orchestration and adopting useful third-party services, developers can create powerful yet easy-to-understand applications. About the Book Serverless Architectures on AWS teaches you how to build, secure, and manage serverless architectures that can power the most demanding web and mobile apps. You'll get going quickly with this book's ready-made real-world examples, code snippets, diagrams, and descriptions of architectures that can be readily applied. By the end, you'll be able to architect and build your own serverless applications on AWS. What's Inside First steps with serverless computing Important patterns and architectures Writing AWS Lambda functions and using the API Gateway Composing serverless applications using key services like Auth0 and Firebase Securing, deploying, and managing serverless architectures About the Reader This book is for software developers interested in back end technologies. Experience with JavaScript (node.js) and AWS is useful but not required. About the Author Dr. Peter Sbarski is a well-known AWS expert, VP of engineering at A Cloud Guru, and head of Serverlessconf. Table of Contents PART 1 - FIRST STEPS Going serverless Architectures and patterns Building a serverless application Setting up your cloud PART 2 - CORE IDEAS Authentication and authorization Lambda the orchestrator API Gateway PART 3 - GROWING YOUR ARCHITECTURE Storage Database Going the last mile APPENDIXES Services for your serverless architecture Installation and setup More about authentication and authorization Lambda insider Models and mapping
  aws architecture diagram examples: Multi-Cloud Architecture and Governance Jeroen Mulder, 2020-12-11 A comprehensive guide to architecting, managing, implementing, and controlling multi-cloud environments Key Features Deliver robust multi-cloud environments and improve your business productivity Stay in control of the cost, governance, development, security, and continuous improvement of your multi-cloud solution Integrate different solutions, principles, and practices into one multi-cloud foundation Book DescriptionMulti-cloud has emerged as one of the top cloud computing trends, with businesses wanting to reduce their reliance on only one vendor. But when organizations shift to multiple cloud services without a clear strategy, they may face certain difficulties, in terms of how to stay in control, how to keep all the different components secure, and how to execute the cross-cloud development of applications. This book combines best practices from different cloud adoption frameworks to help you find solutions to these problems. With step-by-step explanations of essential concepts and practical examples, you’ll begin by planning the foundation, creating the architecture, designing the governance model, and implementing tools, processes, and technologies to manage multi-cloud environments. You’ll then discover how to design workload environments using different cloud propositions, understand how to optimize the use of these cloud technologies, and automate and monitor the environments. As you advance, you’ll delve into multi-cloud governance, defining clear demarcation models and management processes. Finally, you’ll learn about managing identities in multi-cloud: who’s doing what, why, when, and where. By the end of this book, you’ll be able to create, implement, and manage multi-cloud architectures with confidenceWhat you will learn Get to grips with the core functions of multiple cloud platforms Deploy, automate, and secure different cloud solutions Design network strategy and get to grips with identity and access management for multi-cloud Design a landing zone spanning multiple cloud platforms Use automation, monitoring, and management tools for multi-cloud Understand multi-cloud management with the principles of BaseOps, FinOps, SecOps, and DevOps Define multi-cloud security policies and use cloud security tools Test, integrate, deploy, and release using multi-cloud CI/CD pipelines Who this book is for This book is for architects and lead engineers involved in architecting multi-cloud environments, with a focus on getting governance right to stay in control of developments in multi-cloud. Basic knowledge of different cloud platforms (Azure, AWS, GCP, VMWare, and OpenStack) and understanding of IT governance is necessary.
  aws architecture diagram examples: Enterprise Integration Patterns Gregor Hohpe, Bobby Woolf, 2012-03-09 Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise. The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold. This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book.
  aws architecture diagram examples: Cloud Computing, Big Data & Emerging Topics Enzo Rucci, Marcelo Naiouf, Franco Chichizola, Laura De Giusti, 2020-10-23 This book constitutes the revised selected papers of the 8th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2020, held in La Plata, Argentina*, in September 2020. The 11 full papers presented were carefully reviewed and selected from a total of 36 submissions. The papers are organized in topical sections of cloud computing and HPC; Big Data and machine and deep learning. *The conference was held virtually due to the COVID-19 pandemic.
  aws architecture diagram examples: Actionable Insights with Amazon QuickSight Manos Samatas, 2022-01-28 Build interactive dashboards and storytelling reports at scale with the cloud-native BI tool that integrates embedded analytics and ML-powered insights effortlessly Key FeaturesExplore Amazon QuickSight, manage data sources, and build and share dashboardsLearn best practices from an AWS certified big data solutions architect Manage and monitor dashboards using the QuickSight API and other AWS services such as Amazon CloudTrailBook Description Amazon Quicksight is an exciting new visualization that rivals PowerBI and Tableau, bringing several exciting features to the table – but sadly, there aren't many resources out there that can help you learn the ropes. This book seeks to remedy that with the help of an AWS-certified expert who will help you leverage its full capabilities. After learning QuickSight's fundamental concepts and how to configure data sources, you'll be introduced to the main analysis-building functionality of QuickSight to develop visuals and dashboards, and explore how to develop and share interactive dashboards with parameters and on-screen controls. You'll dive into advanced filtering options with URL actions before learning how to set up alerts and scheduled reports. Next, you'll familiarize yourself with the types of insights before getting to grips with adding ML insights such as forecasting capabilities, analyzing time series data, adding narratives, and outlier detection to your dashboards. You'll also explore patterns to automate operations and look closer into the API actions that allow us to control settings. Finally, you'll learn advanced topics such as embedded dashboards and multitenancy. By the end of this book, you'll be well-versed with QuickSight's BI and analytics functionalities that will help you create BI apps with ML capabilities. What you will learnUnderstand the wider AWS analytics ecosystem and how QuickSight fits within itSet up and configure data sources with Amazon QuickSightInclude custom controls and add interactivity to your BI application using parametersAdd ML insights such as forecasting, anomaly detection, and narrativesExplore patterns to automate operations using QuickSight APIsCreate interactive dashboards and storytelling with Amazon QuickSightDesign an embedded multi-tenant analytics architectureFocus on data permissions and how to manage Amazon QuickSight operationsWho this book is for This book is for business intelligence (BI) developers and data analysts who are looking to create interactive dashboards using data from Lake House on AWS with Amazon QuickSight. It will also be useful for anyone who wants to learn Amazon QuickSight in depth using practical, up-to-date examples. You will need to be familiar with general data visualization concepts before you get started with this book, however, no prior experience with Amazon QuickSight is required.
  aws architecture diagram examples: Learning Domain-Driven Design Vlad Khononov, 2021-10-08 Building software is harder than ever. As a developer, you not only have to chase ever-changing technological trends but also need to understand the business domains behind the software. This practical book provides you with a set of core patterns, principles, and practices for analyzing business domains, understanding business strategy, and, most importantly, aligning software design with its business needs. Author Vlad Khononov shows you how these practices lead to robust implementation of business logic and help to future-proof software design and architecture. You'll examine the relationship between domain-driven design (DDD) and other methodologies to ensure you make architectural decisions that meet business requirements. You'll also explore the real-life story of implementing DDD in a startup company. With this book, you'll learn how to: Analyze a company's business domain to learn how the system you're building fits its competitive strategy Use DDD's strategic and tactical tools to architect effective software solutions that address business needs Build a shared understanding of the business domains you encounter Decompose a system into bounded contexts Coordinate the work of multiple teams Gradually introduce DDD to brownfield projects
  aws architecture diagram examples: Software Architecture: The Hard Parts Neal Ford, Mark Richards, Pramod Sadalage, Zhamak Dehghani, 2021-09-23 There are no easy decisions in software architecture. Instead, there are many hard parts--difficult problems or issues with no best practices--that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture. By interweaving a story about a fictional group of technology professionals--the Sysops Squad--they examine everything from how to determine service granularity, manage workflows and orchestration, manage and decouple contracts, and manage distributed transactions to how to optimize operational characteristics, such as scalability, elasticity, and performance. By focusing on commonly asked questions, this book provides techniques to help you discover and weigh the trade-offs as you confront the issues you face as an architect. Analyze trade-offs and effectively document your decisions Make better decisions regarding service granularity Understand the complexities of breaking apart monolithic applications Manage and decouple contracts between services Handle data in a highly distributed architecture Learn patterns to manage workflow and transactions when breaking apart applications
  aws architecture diagram examples: AWS Certified DevOps Engineer - Professional Certification and Beyond Adam Book, 2021-11-25 Explore the ins and outs of becoming an AWS certified DevOps professional engineer with the help of easy-to-follow practical examples and detailed explanations Key FeaturesDiscover how to implement and manage continuous delivery systems and methodologies on AWSExplore real-world scenarios and hands-on examples that will prepare you to take the DOP-C01 exam with confidenceLearn from enterprise DevOps scenarios to prepare fully for the AWS certification examBook Description The AWS Certified DevOps Engineer certification is one of the highest AWS credentials, vastly recognized in cloud computing or software development industries. This book is an extensive guide to helping you strengthen your DevOps skills as you work with your AWS workloads on a day-to-day basis. You'll begin by learning how to create and deploy a workload using the AWS code suite of tools, and then move on to adding monitoring and fault tolerance to your workload. You'll explore enterprise scenarios that'll help you to understand various AWS tools and services. This book is packed with detailed explanations of essential concepts to help you get to grips with the domains needed to pass the DevOps professional exam. As you advance, you'll delve into AWS with the help of hands-on examples and practice questions to gain a holistic understanding of the services covered in the AWS DevOps professional exam. Throughout the book, you'll find real-world scenarios that you can easily incorporate in your daily activities when working with AWS, making you a valuable asset for any organization. By the end of this AWS certification book, you'll have gained the knowledge needed to pass the AWS Certified DevOps Engineer exam, and be able to implement different techniques for delivering each service in real-world scenarios. What you will learnAutomate your pipelines, build phases, and deployments with AWS-native toolingDiscover how to implement logging and monitoring using AWS-native toolingGain a solid understanding of the services included in the AWS DevOps Professional examReinforce security practices on the AWS platform from an exam point of viewFind out how to automatically enforce standards and policies in AWS environmentsExplore AWS best practices and anti-patternsEnhance your core AWS skills with the help of exercises and practice testsWho this book is for This book is for AWS developers and SysOps administrators looking to advance their careers by achieving the highly sought-after DevOps Professional certification. Basic knowledge of AWS as well as its core services (EC2, S3, and RDS) is needed. Familiarity with DevOps concepts such as source control, monitoring, and logging, not necessarily in the AWS context, will be helpful.
  aws architecture diagram examples: Building Evolutionary Architectures Neal Ford, Rebecca Parsons, Patrick Kua, 2017-09-18 The software development ecosystem is constantly changing, providing a constant stream of new tools, frameworks, techniques, and paradigms. Over the past few years, incremental developments in core engineering practices for software development have created the foundations for rethinking how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This practical guide ties those parts together with a new way to think about architecture and time.
  aws architecture diagram examples: Building Serverless Web Applications Diego Zanon, 2017-07-28 Build scalable, efficient, and highly available web apps using AWS About This Book Get an in-depth understanding of the serverless model Build a complete serverless web application end to end Learn how to use the Serverless Framework to improve your productivity Who This Book Is For If you're looking to learn more about scalable and cost-efficient architectures, this book is for you. Basic knowledge of Node.js skills or familiarity with cloud services is required. For other topics, we cover the basics. What You Will Learn Get a grasp of the pros and cons of going serverless and its use cases Discover how you can use the building blocks of AWS to your advantage Set up the environment and create a basic app with the Serverless Framework Host static files on S3 and CloudFront with HTTPS support Build a sample application with a frontend using React as an SPA Develop the Node.js backend to handle requests and connect to a SimpleDB database Secure your applications with authentication and authorization Implement the publish-subscribe pattern to handle notifications in a serverless application Create tests, define the workflow for deployment, and monitor your app In Detail This book will equip you with the knowledge needed to build your own serverless apps by showing you how to set up different services while making your application scalable, highly available, and efficient. We begin by giving you an idea of what it means to go serverless, exploring the pros and cons of the serverless model and its use cases. Next, you will be introduced to the AWS services that will be used throughout the book, how to estimate costs, and how to set up and use the Serverless Framework. From here, you will start to build an entire serverless project of an online store, beginning with a React SPA frontend hosted on AWS followed by a serverless backend with API Gateway and Lambda functions. You will also learn to access data from a SimpleDB database, secure the application with authentication and authorization, and implement serverless notifications for browsers using AWS IoT. This book will describe how to monitor the performance, efficiency, and errors of your apps and conclude by teaching you how to test and deploy your applications. Style and approach This book takes a step-by-step approach on how to use the Serverless Framework and AWS services to build Serverless Applications. It will give you a hands-on feeling, allowing you to practice while reading. It provides a brief introduction of concepts while keeping the focus on the practical skills required to develop applications.
  aws architecture diagram examples: Cloud Penetration Testing Kim Crawley, 2023-11-24 Get to grips with cloud exploits, learn the fundamentals of cloud security, and secure your organization's network by pentesting AWS, Azure, and GCP effectively Key Features Discover how enterprises use AWS, Azure, and GCP as well as the applications and services unique to each platform Understand the key principles of successful pentesting and its application to cloud networks, DevOps, and containerized networks (Docker and Kubernetes) Get acquainted with the penetration testing tools and security measures specific to each platform Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWith AWS, Azure, and GCP gaining prominence, understanding their unique features, ecosystems, and penetration testing protocols has become an indispensable skill, which is precisely what this pentesting guide for cloud platforms will help you achieve. As you navigate through the chapters, you’ll explore the intricacies of cloud security testing and gain valuable insights into how pentesters evaluate cloud environments effectively. In addition to its coverage of these cloud platforms, the book also guides you through modern methodologies for testing containerization technologies such as Docker and Kubernetes, which are fast becoming staples in the cloud ecosystem. Additionally, it places extended focus on penetration testing AWS, Azure, and GCP through serverless applications and specialized tools. These sections will equip you with the tactics and tools necessary to exploit vulnerabilities specific to serverless architecture, thus providing a more rounded skill set. By the end of this cloud security book, you’ll not only have a comprehensive understanding of the standard approaches to cloud penetration testing but will also be proficient in identifying and mitigating vulnerabilities that are unique to cloud environments.What you will learn Familiarize yourself with the evolution of cloud networks Navigate and secure complex environments that use more than one cloud service Conduct vulnerability assessments to identify weak points in cloud configurations Secure your cloud infrastructure by learning about common cyber attack techniques Explore various strategies to successfully counter complex cloud attacks Delve into the most common AWS, Azure, and GCP services and their applications for businesses Understand the collaboration between red teamers, cloud administrators, and other stakeholders for cloud pentesting Who this book is for This book is for aspiring Penetration Testers, and the Penetration Testers seeking specialized skills for leading cloud platforms—AWS, Azure, and GCP. Those working in defensive security roles will also find this book useful to extend their cloud security skills.
  aws architecture diagram examples: Cloud Application Architectures George Reese, 2009-04-01 If you're involved in planning IT infrastructure as a network or system architect, system administrator, or developer, this book will help you adapt your skills to work with these highly scalable, highly redundant infrastructure services. While analysts hotly debate the advantages and risks of cloud computing, IT staff and programmers are left to determine whether and how to put their applications into these virtualized services. Cloud Application Architectures provides answers -- and critical guidance -- on issues of cost, availability, performance, scaling, privacy, and security. With Cloud Application Architectures, you will: Understand the differences between traditional deployment and cloud computing Determine whether moving existing applications to the cloud makes technical and business sense Analyze and compare the long-term costs of cloud services, traditional hosting, and owning dedicated servers Learn how to build a transactional web application for the cloud or migrate one to it Understand how the cloud helps you better prepare for disaster recovery Change your perspective on application scaling To provide realistic examples of the book's principles in action, the author delves into some of the choices and operations available on Amazon Web Services, and includes high-level summaries of several of the other services available on the market today. Cloud Application Architectures provides best practices that apply to every available cloud service. Learn how to make the transition to the cloud and prepare your web applications to succeed.
  aws architecture diagram examples: Cloud Architecture Patterns Bill Wilder, 2012 Do you need to learn about cloud computing architecture with Microsoft's Azure quickly? Read this book! It gives you just enough info on the big picture and is filled with key terminology so that you can join the discussion on cloud architecture.
  aws architecture diagram examples: Real-Time Big Data Analytics Sumit Gupta, Shilpi,, 2016-02-26 Design, process, and analyze large sets of complex data in real time About This Book Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm Implement strategies to solve the challenges of real-time data processing Load datasets, build queries, and make recommendations using Spark SQL Who This Book Is For If you are a Big Data architect, developer, or a programmer who wants to develop applications/frameworks to implement real-time analytics using open source technologies, then this book is for you. What You Will Learn Explore big data technologies and frameworks Work through practical challenges and use cases of real-time analytics versus batch analytics Develop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache Storm Handle and process real-time transactional data Optimize and tune Apache Storm for varied workloads and production deployments Process and stream data with Amazon Kinesis and Elastic MapReduce Perform interactive and exploratory data analytics using Spark SQL Develop common enterprise architectures/applications for real-time and batch analytics In Detail Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time. Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases. From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm. Moving on, we'll familiarize you with “Amazon Kinesis” for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program. You will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark. At the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data. Style and approach This step-by-step is an easy-to-follow, detailed tutorial, filled with practical examples of basic and advanced features. Each topic is explained sequentially and supported by real-world examples and executable code snippets.
  aws architecture diagram examples: AWS Cookbook John Culkin, Mike Zazon, 2021-12-02 This practical guide provides over 100 self-contained recipes to help you creatively solve issues you may encounter in your AWS cloud endeavors. If you're comfortable with rudimentary scripting and general cloud concepts, this cookbook will give you what you need to both address foundational tasks and create high-level capabilities. AWS Cookbook provides real-world examples that incorporate best practices. Each recipe includes code that you can safely execute in a sandbox AWS account to ensure that it works. From there, you can customize the code to help construct your application or fix your specific existing problem. Recipes also include a discussion that explains the approach and provides context. This cookbook takes you beyond theory, providing the nuts and bolts you need to successfully build on AWS. You'll find recipes for: Organizing multiple accounts for enterprise deployments Locking down S3 buckets Analyzing IAM roles Autoscaling a containerized service Summarizing news articles Standing up a virtual call center Creating a chatbot that can pull answers from a knowledge repository Automating security group rule monitoring, looking for rogue traffic flows And more.
  aws architecture diagram examples: Pro PowerShell for Amazon Web Services Brian Beach, Steven Armentrout, Rodney Bozo, Emmanuel Tsouris, 2019-09-21 Amazon Web Services (AWS) is the leading public cloud platform. In this book you will learn to use Microsoft PowerShell to create, host, manage, and administer workloads using Amazon Web Services. You will learn how to create virtual machines, provision storage, configure networks, and more—all using your preferred Windows scripting language. CIOs everywhere are leading their organizations to the cloud, but there are few books available to help. This book focuses on moving Microsoft Windows workloads to the cloud using technologies familiar to enterprise Microsoft-based professionals. The completely revised and expanded Pro PowerShell for Amazon Web Services is written specifically for Windows professionals who already know PowerShell and want to learn to host Windows workloads on Amazon Web Services. The cloud offers information technology workers significant cost savings and agility unimaginable even just a few years ago. Tasks that traditionally took weeks of work, costing thousands of dollars, can be completed in minutes for a fraction of a penny. New chapters in this second edition cover: AWS Lambda, Amazon WorkSpaces, Amazon AppStream 2.0, AWS Directory Service, Amazon WorkDocs, and AWS System Manager. What You'll Learn Create and manage Windows servers on Elastic Compute Cloud (EC2) Configure and secure networks with Virtual Private Cloud (VPC) Leverage autoscaling to adjust resources as load changes Deploy and manage SQL Server using the Relational Database Service (RDS) Manage virtual desktops using WorkSpaces and AppStream Leverage AWS Systems Manager to manage Windows at scale Who This Book Is For Windows professionals who want to learn more about Amazon Web Services, with a focus on running Windows workloads and automated management at scale using PowerShell tools for AWS. The book assumes you have knowledge of Windows and PowerShell, but are new to AWS.
  aws architecture diagram examples: Building Micro-Frontends Luca Mezzalira, 2021-11-17 What's the answer to today's increasingly complex web applications? Micro-frontends. Inspired by the microservices model, this approach lets you break interfaces into separate features managed by different teams of developers. With this practical guide, Luca Mezzalira shows software architects, tech leads, and software developers how to build and deliver artifacts atomically rather than use a big bang deployment. You'll learn how micro-frontends enable your team to choose any library or framework. This gives your organization technical flexibility and allows you to hire and retain a broad spectrum of talent. Micro-frontends also support distributed or colocated teams more efficiently. Pick up this book and learn how to get started with this technological breakthrough right away. Explore available frontend development architectures Learn how microservice principles apply to frontend development Understand the four pillars for creating a successful micro-frontend architecture Examine the benefits and pitfalls of existing micro-frontend architectures Learn principles and best practices for creating successful automation strategies Discover patterns for integrating micro-frontend architectures using microservices or a monolith API layer
  aws architecture diagram examples: Hybrid Cloud for Architects Alok Shrivastwa, 2018-02-23 Build your own hybrid cloud strategy with this comprehensive learning guide. Key Features Build a hybrid cloud strategy for your organization with AWS and OpenStack Leverage Hybrid Cloud to design a complex deployment pipeline Learn to implement security and monitoring best practices with real-world examples Book Description Hybrid cloud is currently the buzz word in the cloud world. Organizations are planning to adopt hybrid cloud strategy due to its advantages such as untested workloads, cloud-bursting, cloud service brokering and so on. This book will help you understand the dynamics, design principles, and deployment strategies of a Hybrid Cloud. You will start by understanding the concepts of hybrid cloud and the problems it solves as compared to a stand-alone public and private cloud. You will be delving into the different architecture and design of hybrid cloud. The book will then cover advanced concepts such as building a deployment pipeline, containerization strategy, and data storage mechanism. Next up, you will be able to deploy an external CMP to run a Hybrid cloud and integrate it with your OpenStack and AWS environments. You will also understand the strategy for designing a Hybrid Cloud using containerization and work with pre-built solutions like vCloud Air, VMware for AWS, and Azure Stack. Finally, the book will cover security and monitoring related best practices that will help you secure your cloud infrastructure. By the end of the book, you will be in a position to build a hybrid cloud strategy for your organization. What you will learn Learn the demographics and definitions of Hybrid Cloud Understand the different architecture and design of Hybrid Cloud Explore multi-cloud strategy and use it with your hybrid cloud Implement a Hybrid Cloud using CMP / Common API’s Implement a Hybrid Cloud using Containers Overcome various challenges and issues while working with your Hybrid Cloud Understand how to monitor your Hybrid Cloud Discover the security implications in the Hybrid Cloud Who this book is for This book is targeted at cloud architects, cloud solution providers, DevOps engineers, or any working stakeholder who wants to learn about the hybrid cloud architecture. A basic understanding of public and private cloud is desirable.
  aws architecture diagram examples: Functional Thinking Neal Ford, 2014-06-30 If you’re familiar with functional programming basics and want to gain a much deeper understanding, this in-depth guide takes you beyond syntax and demonstrates how you need to think in a new way. Software architect Neal Ford shows intermediate to advanced developers how functional coding allows you to step back a level of abstraction so you can see your programming problem with greater clarity. Each chapter shows you various examples of functional thinking, using numerous code examples from Java 8 and other JVM languages that include functional capabilities. This book may bend your mind, but you’ll come away with a much better grasp of functional programming concepts. Understand why many imperative languages are adding functional capabilities Compare functional and imperative solutions to common problems Examine ways to cede control of routine chores to the runtime Learn how memoization and laziness eliminate hand-crafted solutions Explore functional approaches to design patterns and code reuse View real-world examples of functional thinking with Java 8, and in functional architectures and web frameworks Learn the pros and cons of living in a paradigmatically richer world If you’re new to functional programming, check out Josh Backfield’s book Becoming Functional.
  aws architecture diagram examples: Intelligent Workloads at the Edge Indraneel Mitra, Ryan Burke, 2022-01-14 Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such as AWS IoT Greengrass and Amazon SageMaker Key FeaturesAccelerate your next edge-focused product development with the power of AWS IoT GreengrassDevelop proficiency in architecting resilient solutions for the edge with proven best practicesHarness the power of analytics and machine learning for solving cyber-physical problemsBook Description The Internet of Things (IoT) has transformed how people think about and interact with the world. The ubiquitous deployment of sensors around us makes it possible to study the world at any level of accuracy and enable data-driven decision-making anywhere. Data analytics and machine learning (ML) powered by elastic cloud computing have accelerated our ability to understand and analyze the huge amount of data generated by IoT. Now, edge computing has brought information technologies closer to the data source to lower latency and reduce costs. This book will teach you how to combine the technologies of edge computing, data analytics, and ML to deliver next-generation cyber-physical outcomes. You'll begin by discovering how to create software applications that run on edge devices with AWS IoT Greengrass. As you advance, you'll learn how to process and stream IoT data from the edge to the cloud and use it to train ML models using Amazon SageMaker. The book also shows you how to train these models and run them at the edge for optimized performance, cost savings, and data compliance. By the end of this IoT book, you'll be able to scope your own IoT workloads, bring the power of ML to the edge, and operate those workloads in a production setting. What you will learnBuild an end-to-end IoT solution from the edge to the cloudDesign and deploy multi-faceted intelligent solutions on the edgeProcess data at the edge through analytics and MLPackage and optimize models for the edge using Amazon SageMakerImplement MLOps and DevOps for operating an edge-based solutionOnboard and manage fleets of edge devices at scaleReview edge-based workloads against industry best practicesWho this book is for This book is for IoT architects and software engineers responsible for delivering analytical and machine learning–backed software solutions to the edge. AWS customers who want to learn and build IoT solutions will find this book useful. Intermediate-level experience with running Python software on Linux is required to make the most of this book.
  aws architecture diagram examples: Architecting the Cloud Michael J. Kavis, 2014-01-28 An expert guide to selecting the right cloud service model for your business Cloud computing is all the rage, allowing for the delivery of computing and storage capacity to a diverse community of end-recipients. However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements. Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.
AWS Management Console
Manage your AWS cloud resources easily through a web-based interface using the AWS Management Console.

Cloud Computing Services - Amazon Web Services (AWS)
Amazon Q is the generative AI-powered assistant from AWS that helps you streamline processes, enhance decision making, and boost productivity. Amazon Q has many new capabilities: Build …

What is AWS? - Cloud Computing with AWS - Amazon Web Services
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Welcome to AWS Documentation
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Sign in to the AWS Management Console - AWS Sign-In
Learn how to sign in to your AWS account and what credentials are required. Includes tutorials on how to sign in to the AWS Management Console as a root user and IAM users, and how to sign in …

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How to Create an AWS Account
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Getting Started with AWS Cloud Essentials
Gain familiarity with core concepts of cloud computing and the AWS Cloud. Get the answers to common questions about cloud computing and explore best practices for building on AWS.

AWS Prescriptive Guidance
A complicated architecture that involves these complex and time-consuming development cycles results in increased cost. This guide focuses on a foundational architecture for an IVR …

SaaS Architecture Fundamentals - AWS Whitepaper
SaaS Architecture Fundamentals AWS Whitepaper Table of Contents ... The following diagram provides a conceptual view of how several vendors have packaged and delivered their …

Secure Cloud Computing Architecture (SCCA) on AWS …
Secure Cloud Computing Architecture (SCCA) on AWS GovCloud Build a Defense Information Systems Agency (DISA) Compliant Landing Zone on AWS This architecture provides the …

Guidance for Digital Twin Framework on AWS
AWS Reference Architecture Guidance for Digital Twin Framework on AWS High-Level Overview This architecture diagram consists of three integrated modules that address key stages of …

Moodle Reference Architecture - Moodle Reference …
Aug 18, 2022 · • AWS Architecture Icons • AWS Architecture Center • AWS Well-Architected • Moodle website Diagram history To be notified about updates to this reference architecture …

Guidance for Generative AI Model Optimization Using …
This architecture diagram shows how data scientists can optimize Large Language Models (LLMs) within Amazon SageMaker to deliver responses that are not only faster, but also more …

Guidance for Collaborative, Unified Data and AI Development …
AWS Reference Architecture Guidance for Collaborative, Unified Data and AI Development on AWS Overview This architecture diagram shows how Amazon SageMaker provides a unified, …

Generative AI Application Builder on AWS - Implementation …
This implementation guide provides an overview of the Generative AI Application Builder on AWS solution, its reference architecture and components, considerations for planning the …

Guidance for Trusted Secure Enclaves on AWS
AWS Reference Architecture Guidance for Trusted Secure Enclaves on AWS Security Accounts Centralized logging: This architecture prescribes comprehensive log collection and …

Customer Data Platform for Airlines with Master Data …
AWS Reference Architecture Customer Data Platform for Airlines with Master Data Management Use this data platform architecture to relieve or replace your on-premises data platform load, …

Serverless Architecture for Global Applications
Serverless Architecture for Global Applications 1 Improve customer experience on your global services by deploying into multiple AWS Regions and applying event-driven architectural …

Cloud Point-of-Sale (POS) System on AWS for CPG
AWS Reference Architecture Cloud Point-of-Sale (POS) System on AWS for CPG A modern point of sale POS system does much more than just provide checkout for customers. While these …

Digital banking on on AWS with VMware Cloud on AWS
AWS Reference Architecture VMware Cloud on AWS Customer Organization VMware Cloud on AWS SDDC Group Networking Account VMware Transit Connect Transit VPC VMware Cloud …

Guidance for Deploying High Performance Computing …
This architecture diagram shows how to deploy this Guidance using AWS CloudFormation templates that provision networking resources, security, and storage components. The next …

Payment System Interface Modernization on AWS
Apr 6, 2022 · • AWS Architecture Icons • AWS Architecture Center • AWS Well-Architected Diagram history To be notified about updates to this reference architecture diagram, …

Guidance for Natural Language Queries of Relational …
Guidance for Natural Language Queries of Relational Databases on AWS This architecture diagram demonstrates how to use natural language to query an Amazon RDS for PostgreSQL …

Hosting Static Websites on AWS - AWS Whitepaper
S AWS architecture AWS Whitepaper To translate a traditional hosting environment to an AWS architecture, you could use a “lift- and-shift” approach where you substitute AWS services …

Enterprise Esri ArcGIS Platform on AWS
Highly available Esri ArcGIS deployment on AWS ArcGIS Enterpriseis the foundational software system for geographic information system (GIS). It powers mapping and visualization, …

Hosting Static Websites on AWS
Amazon Web Services Hosting Static Websites on AWS Page 4 Moving to an AWS Architecture To translate a traditional hosting environment to an AWS architecture, you could use a “lift-and …

AWS Serverless Multi-Tier Architectures with Amazon API …
All of these examples can be considered “boilerplate” components that, while necessary in multi-tier applications, do not vary greatly in their implementation from one application to the next. …

WHITE PAPER Amazon Web Services (AWS) Reference …
Because the main objective of this white paper is to explain design principles and guidelines of a secure AWS architecture, a good knowledge of AWS concepts and key AWS services is a …

ARCHIVED: Data Lake Architecture for Renewable Energy
AWS Schema . AWS DMS. Conversion Tool (AWS SCT) AWS Glue Crawler. AWS Glue crawler. AmazonS3. raw data. S3. processeddata. 5 • asset management • enterprise resource …

Architecting Solutions on AWS - Capstone Project - Amazon …
the three-tier application and the data analytics workload to AWS. Architecture Diagram: Written Explanation: 1. Frontend, Backend, and Database Migration: For the three-tier application, we …

delivers instant benefits - Amazon Web Services, Inc.
achieve for your business, and IBM and AWS’s role in implementation . IBM data fabric on AWS This partnership combines the #1 leading AI portfolio with the largest global cloud …

ARCHIVED: Modern Data Analytics Reference Architecture …
Modern Data Analytics Reference Architecture on AWS. This architectureenables customersto build data analytics pipelines using a Modern Data Analytics approachto derive insights from …

AWS Well-Architected Tool
AWS Well-Architected Tool (AWS WA Tool) is a service in the cloud that provides a consistent process for measuring your architecture using AWS best practices. AWS WA Tool helps you …

AWS Prescriptive Guidance - Understanding and …
• Frontend-only, integrating with a shared API layer behind which runs a microservices architecture • Full-stack, meaning that each micro-frontend has its own backend …

Implementation Guide Netskope AWS Control Tower …
Netskope CSPM and Storage Scan service with AWS Control Tower Architecture Diagram . Page 5 of 18 This solution uses the Customization for AWS Control Tower (CfCT) solution to deploy …

Guidance for Core Banking Data Lake on AWS
AWS Reference Architecture Guidance for Core Banking Data Lake on AWS This architecture diagram shows how to securely replicate and transform core banking data on AWS and unlock …

Hybrid Cloud with AWS
can leverage AWS services like AWS Analytics, AWS Machine Learning, AWS Serverless, AWS Containers, and more to process the data. Distributed data processing using AWS Services …

Model Based Systems Engineering (MBSE) on AWS: From …
and sustainable systems. Using the AWS Well-Architected Tool, available at no charge in the AWS Management Console, you can review your workloads against these best practices by …

VMware Cloud on AWS AWS Cloud WAN Reference …
AWS Reference Architecture Reviewed for technical accuracy January 19, 2023 ... examples. For each environment (such as Prod, Dev), deploy a SDDC into a dedicated SDDC Group. This …

table. Event-Driven Architecture on AWS
AWS Reference Architecture Guidance for Building Payment Systems Using Event-Driven Architecture on AWS This architecture diagram shows how to enable near real-time processing …

The CTO Guide to Ecommerce Architectures - Amazon Web …
AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its …

Guidance for Building a Core Banking Platform Using Amazon …
to the AWS environment using AWS Direct Connect, which offers reliable connectivity to the network routers and payment hardware security module (HSM) devices. Amazon Route 53 …

Guidance for Payment Connectivity, Gateway, Orchestration
AWS Reference Architecture To start, customers scan the business QR code displayed at the checkout page on a website or at the point of sale (POS) terminal. Amazon Route 53 routes …

Web Application Hosting in the AWS Cloud - d1.awsstatic.com
An AWS Cloud Architecture for Web Hosting The following figure provides another look at that classic web application architecture and how it can leverage the AWS Cloud computing …

Workload Discovery on AWS - Implementation Guide
a link to the resource in the AWS Management Console. Sample architecture diagram generated by Workload Discovery on AWS This implementation guide describes architectural …

Hybrid Cloud with AWS - AWS Whitepaper
the same AWS infrastructure, services, APIs, management tools, support, and operating model that customers are familiar with, in AWS Regions, to virtually any data center, co-location …

Migrating to AWS: Best Practices and Strategies
where a cloud-native architecture is necessary to achieve needed business capabilities. Examples of this include performance, scalability, globalization, and the desire to move to a more agile, …

Guidance for Traditional POS Checkout on AWS
AWS Reference Architecture AWS Cloud Guidance for Traditional POS Checkout on AWS This diagram shows how to build a cloud-based point of sale (POS) system for retailers and …

VMware Cloud on AWS: vCenter Architecture
VMware Cloud on AWS: vCenter Architecture ©️ VMware LLC. Document | 3 VMware Cloud on AWS: vCenter Architecture Overview The computing assets within a VMware Cloud on AWS …

Guidance for Multiplayer Session-Based Game Hosting on AWS
AWS Reference Architecture Guidance for Multiplayer Session-Based Game Hosting on AWS This architecture diagram shows how to build a global multiplayer game on Amazon GameLift …

Guidance for Governance on AWS
AWS Reference Architecture Guidance for Governance on AWS 1 (CF26-S1) Establish a relationship with your cloud provider, understanding what services are available in what region, …

Network Orchestration for AWS Transit Gateway
Architecture diagram of AWS resources deployed to automate managing Transit Gateway attachments. Architecture diagram 5. Network Orchestration for AWS Transit Gateway …

AWS Cloud Architecture Guide
resources in AWS), so you can focus on your customers. Commvault helps you leverage and benefit from AWS variable expense compute, economy of scale pricing, speed of resource …

Web Application Hosting in the AWS Cloud - AWS Whitepaper
Key components of an AWS web hosting architecture The following sections outline some of the key components of a web hosting architecture deployed in the AWS Cloud, and explain how …

Guidance for Backup & Recovery on AWS
AWS Config and AWS Backup Audit Manager. Guidance for Backup & Recovery on AWS This architecture diagram shows a clear, scalable, and iterative way to set up backup and recovery …

Oracle E-Business Suite on AWS - Architecture Diagrams
Oracle E-Business Suite on AWS Diagram 1. The architecture starts with a single Region and single Virtual Private Cloud (VPC) on-par with the on-premises data center. 2. Multiple …

Aws Generate Architecture Diagram - timehelper-beta.orases
Aws Generate Architecture Diagram aws generate architecture diagram: AWS Cloud Projects Ivo Pinto, Pedro Santos, 2024-10-25 Gain a deeper understanding of AWS services by building …