AWS for Solutions Architects

The definitive guide to AWS Solutions Architecture for migrating to, building, scaling, and succeeding in the cloud

Häftad, Engelska, 2023

AvSaurabh Shrivastava,Neelanjali Srivastav,Alberto Artasanchez,Imtiaz Sayed

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This is an outdated edition, and we have a new third edition live covering real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best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

Produktinformation

Utgivningsdatum2023-04-28
Mått191 x 235 x 38 mm
Vikt1 277 g
FormatHäftad
SpråkEngelska
Antal sidor696
Upplaga2
FörlagPackt Publishing Limited
MedarbetareDr.SiddharthaChoubey Ph.D.
ISBN9781803238951

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Saurabh Shrivastava is a technology leader, author, inventor, and public speaker with over 20 years of experience in the IT industry. He currently works at AWS as a Global Solution Architect Leader and enables AWS customers and partners on their journey to the cloud. Saurabh is the author of best-selling books including “Generative AI for Software Developer,” "Solutions Architect's Handbook," and "Solutions Architects Interview." He has authored various blogs and white papers on diverse technologies, such as advanced analytics, IoT, machine learning, Generative AI, and cloud computing. Saurabh holds patents in cloud automation and has worked as a software engineering manager and software developer in Fortune 50 enterprises and start-ups. Neelanjali Srivastav is a technology leader, product manager, agile coach, and cloud practitioner with over 16 years of experience in the software industry. She currently works at Amazon Web Services (AWS) as a Senior Product Manager and enables global customers on their data journey to the cloud. Neelanjali evangelizes and enables AWS customer and partners in AWS database, analytics, and machine learning services. She sets the product vision and cultivates new products in incubation. Before AWS, Neelanjali led teams of software engineers, solutions architects, and systems analysts to modernize IT systems and develop innovative software solutions for large enterprises. Neelanjali has held multiple roles in the IT services industry and R&D, focusing on enterprise application management, cloud service management, and orchestration. Alberto Artasanchez is a solutions architect with expertise in the cloud, data solutions, and machine learning, with a career spanning over 28 years in various industries. He is an AWS Ambassador and publishes frequently in a variety of cloud and data science publications. He is often tapped as a speaker on topics including data science, big data, and analytics. He has a strong and extensive track record of designing and building end-to-end machine learning platforms at scale. He also has a long track record of leading data engineering teams and mentoring, coaching, and motivating them. He has a great understanding of how technology drives business value and has a passion for creating elegant solutions to complicated problems. Imtiaz (Taz) Sayed leads the Worldwide Data Analytics Solutions Architecture community at AWS. He is a Principal Solutions Architect, and works with diverse customers engaging in thought leadership, strategic partnerships and specialized guidance on building modern data platforms on AWS. He is a technologist with over 20 years of experience across several domains including distributed architectures, data analytics, service mesh, databases, and DevOps.

Table of ContentsUnderstanding AWS Principles and Key CharacteristicsUnderstanding the AWS Well-Architected Framework and Getting CertifiedLeveraging the Cloud for Digital TransformationNetworking in AWSStorage in AWS – Choosing the Right Tool for the JobHarnessing the Power of Cloud ComputingSelecting the Right Database ServiceBest Practices for Application Security, Identity, and ComplianceDriving Efficiency with CloudOpsBig Data and Streaming Data Processing in AWSData Warehouses, Data Queries, and Visualization in AWSMachine Learning, IoT, and Blockchain in AWSContainers in AWSMicroservice Architectures in AWSData Lake Patterns – Integrating Your Data across the EnterpriseHands-On Guide to Building an App in AWS

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