Designing AWS Environments

Designing AWS Environments

Author: Mitesh Soni

Publisher: Packt Publishing Ltd

Published: 2018-09-29

Total Pages: 169

ISBN-13: 1789538157

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Design and create robust and resilient distributed solutions with AWS Key FeaturesDesign and secure virtual private network environments on the AWS cloudDeploy appropriate instance types and sizes based on performance and cost requirementsGain proficiency and confidence when designing virtual cloud environmentsBook Description Amazon Web Services (AWS) provides trusted,cloud-based solutions to help you meet your business needs. Running your solutions in the AWS Cloud can help you get your applications up and running faster while providing the security to meet your compliance requirements. This book begins by familiarizing you with the key capabilities to architect and host applications, websites, and services on AWS. We explain the available options for AWS free tier with virtual instances and demonstrate how you can launch and connect them. Using practical examples, you’ll be able to design and deploy networking and hosting solutions for large deployments. Finally, the book focuses on security and important elements of scalability and high availability using AWS VPC, Elastic Load Balancing, and Auto scaling. By the end of this book, you will have handson experience of working with AWS instances,VPC, Elastic Load Balancing, and Auto scalingrelated tasks on Amazon Web Services. What you will learnEstablish how to launch EC2 instances and log inWork with Linux and Windows instancesUnderstand Amazon VPC networking creation with and without a wizardDesign, create, and secure a Virtual Private CloudAutoscale instances based on the increase and decrease in trafficDeploy applications in a highly available and fault-tolerant mannerLoad balance the requests with Elastic Load BalancingMake your applications highly available through load balancing, multi-AZ deployments, and auto scalingWho this book is for This book is for new and aspiring individuals who are preparing or gearing up for a solutions architect role. You’ll also find this useful if you’re an IT professional such as beginners, cloud architects, and cloud solution providers, or DevOps engineer who is preparing to design and deploy large solutions on AWS. No experience with AWS is required.


Implementing Cloud Design Patterns for AWS

Implementing Cloud Design Patterns for AWS

Author: Sean Keery

Publisher: Packt Publishing Ltd

Published: 2019-04-30

Total Pages: 259

ISBN-13: 1789130913

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Create highly efficient design patterns for scalability, redundancy, and high availability in the AWS Cloud Key FeaturesBuild highly robust systems using the cloud infrastructureMake web applications resilient against scheduled and accidental downtimeExplore and apply Amazon-provided services in unique ways to solve common design problemsBook Description Whether you're just getting your feet wet in cloud infrastructure or already creating complex systems, this book will guide you through using the patterns to fit your system needs. Starting with patterns that cover basic processes such as source control and infrastructure-as-code, the book goes on to introduce cloud security practices. You'll then cover patterns of availability and scalability and get acquainted with the ephemeral nature of cloud environments. You'll also explore advanced DevOps patterns in operations and maintenance, before focusing on virtualization patterns such as containerization and serverless computing. In the final leg of your journey, this book will delve into data persistence and visualization patterns. You'll get to grips with architectures for processing static and dynamic data, as well as practices for managing streaming data. By the end of this book, you will be able to design applications that are tolerant of underlying hardware failures, resilient against an unexpected influx of data, and easy to manage and replicate. What you will learnImplement scaling policies on schedules, influxes in traffic, and deep health checksMake complete use of highly available and redundant storageDesign content delivery networks to improve user experienceOptimize databases through caching and shardingApply patterns to solve common problemsImplement repeatable processes for deploying systemsWho this book is for If you’re an architect, solution provider, or DevOps community member looking to implement repeatable patterns for deploying and maintaining services in the Amazon cloud infrastructure, this book is for you. You’ll need prior experience of using AWS understand key concepts covered in the book, as it focuses on the patterns rather than the basics of using AWS.


Implementing AWS: Design, Build, and Manage your Infrastructure

Implementing AWS: Design, Build, and Manage your Infrastructure

Author: Yohan Wadia

Publisher: Packt Publishing Ltd

Published: 2019-01-31

Total Pages: 674

ISBN-13: 1788831063

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Work through exciting recipes to administer your AWS cloud Key FeaturesBuild secure environments using AWS components and servicesExplore core AWS features with real-world applications and best practicesDesign and build Lambda functions using real-world examplesBook Description With this Learning Path, you’ll explore techniques to easily manage applications on the AWS cloud. You’ll begin with an introduction to serverless computing, its advantages, and the fundamentals of AWS. The following chapters will guide you on how to manage multiple accounts by setting up consolidated billing, enhancing your application delivery skills, with the latest AWS services such as CodeCommit, CodeDeploy, and CodePipeline to provide continuous delivery and deployment, while also securing and monitoring your environment's workflow. It’ll also add to your understanding of the services AWS Lambda provides to developers. To refine your skills further, it demonstrates how to design, write, test, monitor, and troubleshoot Lambda functions. By the end of this Learning Path, you’ll be able to create a highly secure, fault-tolerant, and scalable environment for your applications. This Learning Path includes content from the following Packt products: AWS Administration: The Definitive Guide, Second Edition by Yohan WadiaAWS Administration Cookbook by Rowan Udell, Lucas ChanMastering AWS Lambda by Yohan Wadia, Udita GuptaWhat you will learnExplore the benefits of serverless computing and applicationsDeploy apps with AWS Elastic Beanstalk and Amazon Elastic File SystemSecure environments with AWS CloudTrail, AWSConfig, and AWS ShieldRun big data analytics with Amazon EMR and Amazon RedshiftBack up and safeguard data using AWS Data PipelineCreate monitoring and alerting dashboards using CloudWatchEffectively monitor and troubleshoot serverless applications with AWSDesign serverless apps via AWS Lambda, DynamoDB, and API GatewayWho this book is for This Learning Path is specifically designed for IT system and network administrators, AWS architects, and DevOps engineers who want to effectively implement AWS in their organization and easily manage daily activities. Familiarity with Linux, web services, cloud computing platforms, virtualization, networking, and other administration-related tasks will assist in understanding the concepts in the book. Prior hands-on experience with AWS core services such as EC2, IAM, S3, and programming languages, such as Node.Js, Java, and C#, will also prove beneficial.


Implementing Cloud Design Patterns for AWS

Implementing Cloud Design Patterns for AWS

Author: Marcus Young

Publisher: Packt Publishing Ltd

Published: 2015-04-29

Total Pages: 228

ISBN-13: 1782177353

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This book is aimed at architects, solution providers, and those of the DevOps community who are looking to implement repeatable patterns for deploying and maintaining services in the Amazon cloud infrastructure. Prior experience using AWS is required as the book focuses more on the patterns and not on the basics of using AWS.


Designing AWS Environments

Designing AWS Environments

Author: Wayde Gilchrist

Publisher:

Published: 2016

Total Pages:

ISBN-13:

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"Amazon Web Services (AWS) provides trusted, cloud-based solutions to help you meet your business needs. Running your solutions in the AWS Cloud can help you get your applications up and running faster while providing the security to meet your compliance requirements. This course begins by familiarizing you with the key capabilities to architect and host applications, websites, and services on AWS. Well explain the available options for virtual instances and demonstrate launching and connecting to them. Using practical examples, you will be able design and deploy networking and hosting solutions for large deployments. Finally, the course focuses on security and important elements of scalability and high availability."--Resource description page.


Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I)

Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments (Part I)

Author: Nirmalya Thakur

Publisher: Bentham Science Publishers

Published: 2021-09-06

Total Pages: 173

ISBN-13: 9814998826

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Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments is a 2-part book set which presents discoveries, innovative ideas, concepts, practical solutions, and novel applications of Human-Computer Interaction (HCI) and related disciplines such as artificial intelligence, machine learning, data mining, computer vision, and natural language processing. The book provides readers with information about HCI trends which are shaping the future of smart, interconnected urban and industrial environments. Contributions are authored by experts and scientists in the field of HCI and its interrelated disciplines from 8 different countries – Chile, China, Croatia, India, Iran, Malaysia, Peru, and South Korea. The chapters of this volume present novel and state of the art research works conducted at the intersection of HCI aimed at developing trust, increasing user acceptance, augmenting user performance, and fostering human-technology partnerships. Chapters cover usability testing in digital healthcare systems, user experience testing of handicapped children and assistive technologies for visually impaired users and a gamified user experience design for learning. The volume also presents a review of twitter usability testing among Indian users, along with specific cases of arthritis diagnostic systems, meteorological draught analysis and the role of EUPS in improving GUI design to improve the user experience. Human-Computer Interaction and Beyond: Advances Towards Smart and Interconnected Environments is an informative reference for scientists, researchers, and developers in both academia and industry who wish to learn, design, implement, and apply these emerging technologies in HCI in different sectors, with the goal of realizing futuristic technology-driven living and functional smart cities and environments.


AWS certification guide - AWS Certified Advanced Networking - Specialty

AWS certification guide - AWS Certified Advanced Networking - Specialty

Author: Cybellium Ltd

Publisher: Cybellium Ltd

Published:

Total Pages: 159

ISBN-13:

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AWS Certification Guide - AWS Certified Advanced Networking – Specialty Master the Complex World of AWS Networking Embark on a deep dive into the specialized world of AWS networking with this essential guide for the AWS Certified Advanced Networking – Specialty certification. This comprehensive resource is designed for networking professionals seeking to demonstrate their expertise in designing and implementing AWS and hybrid IT network architectures at scale. What You Will Find Inside: In-Depth Networking Concepts: Explore the nuances of AWS networking, including VPCs, Direct Connect, routing, and more, with detailed explanations and practical applications. Advanced Architectural Strategies: Learn to design and implement robust, scalable network architectures that meet complex requirements and leverage AWS services to their fullest potential. Focused Exam Preparation: Gain an understanding of the certification exam structure, with content closely aligned to each exam domain, and ample practice questions to sharpen your skills. Real-World Scenarios: Engage with case studies and practical examples that demonstrate sophisticated networking solutions and problem-solving in live AWS environments. Crafted by an AWS Networking Expert Written by a seasoned AWS network specialist, this guide combines deep technical knowledge with practical insights, providing you with an authoritative resource in AWS networking. Your Pathway to Specialty Certification Whether you are an experienced network engineer or looking to specialize in AWS networking, this book is your comprehensive companion, guiding you through the complexities of AWS networks and preparing you for the Specialty certification exam. Elevate Your Networking Expertise This guide is more than a study aid; it's a deep dive into the intricacies of AWS networking, designed to equip you with the advanced skills and knowledge required to excel in this specialized field. Begin Your Journey to AWS Networking Excellence Step into the role of an AWS Certified Advanced Networking Specialist with confidence. This guide is your first step towards achieving this prestigious certification and advancing your career in the dynamic field of AWS networking. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com


Designing Software Architectures

Designing Software Architectures

Author: Humberto Cervantes

Publisher: Addison-Wesley Professional

Published: 2024-06-14

Total Pages: 603

ISBN-13: 0138108153

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Learn how to create successful architectural designs and improve your current design practices! Designing Software Architectures, 2nd Edition, provides a practical, step-by-step methodology for architecture design that any professional software engineer can use, with structured methods supported by reusable chunks of design knowledge and rich case studies that demonstrate how to use the methods. The Attribute-Driven Design method may not have changed since this book's first printing, but almost everything else about the industry has. In this newly updated edition, you will find new chapters on supporting business agility through API-centric design, deployability, cloud-based solutions, and technical debt in design. Humberto Cervantes and Rick Kazman illuminate best practices for how architects should design complex systems so you can make design decisions in systematic, repeatable, and cost-effective ways. This book will help you become a better, more confident designer who can create high-quality architectures with ease. The new edition includes: A clear explanation of the Attribute-Driven Design method New chapters focused on the technical environments and contexts of contemporary design Two new case studies on The Hotel Pricing System and Digital Twin Platform Coverage of current architecture topics like cloud computing, DevOps, and large-scale systems Methods to make architecture design agile and achievable Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.


Learning AWS

Learning AWS

Author: Aurobindo Sarkar

Publisher: Packt Publishing Ltd

Published: 2018-02-01

Total Pages: 401

ISBN-13: 1787289311

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Discover techniques and tools for building serverless applications with AWS Key Features Get well-versed with building and deploying serverless APIs with microservices Learn to build distributed applications and microservices with AWS Step Functions A step-by-step guide that will get you up and running with building and managing applications on the AWS platform Book Description Amazon Web Services (AWS) is the most popular and widely-used cloud platform. Administering and deploying application on AWS makes the applications resilient and robust. The main focus of the book is to cover the basic concepts of cloud-based development followed by running solutions in AWS Cloud, which will help the solutions run at scale. This book not only guides you through the trade-offs and ideas behind efficient cloud applications, but is a comprehensive guide to getting the most out of AWS. In the first section, you will begin by looking at the key concepts of AWS, setting up your AWS account, and operating it. This guide also covers cloud service models, which will help you build highly scalable and secure applications on the AWS platform. We will then dive deep into concepts of cloud computing with S3 storage, RDS and EC2. Next, this book will walk you through VPC, building realtime serverless environments, and deploying serverless APIs with microservices. Finally, this book will teach you to monitor your applications, and automate your infrastructure and deploy with CloudFormation. By the end of this book, you will be well-versed with the various services that AWS provides and will be able to leverage AWS infrastructure to accelerate the development process. What you will learn Set up your AWS account and get started with the basic concepts of AWS Learn about AWS terminology and identity access management Acquaint yourself with important elements of the cloud with features such as computing, ELB, and VPC Back up your database and ensure high availability by having an understanding of database-related services in the AWS cloud Integrate AWS services with your application to meet and exceed non-functional requirements Create and automate infrastructure to design cost-effective, highly available applications Who this book is for If you are an I.T. professional or a system architect who wants to improve infrastructure using AWS, then this book is for you. It is also for programmers who are new to AWS and want to build highly efficient, scalable applications.


The Machine Learning Solutions Architect Handbook

The Machine Learning Solutions Architect Handbook

Author: David Ping

Publisher: Packt Publishing Ltd

Published: 2022-01-21

Total Pages: 442

ISBN-13: 1801070415

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Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one. You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. By the end of this book, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is for This book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You’ll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.