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You're reading from  AWS for Solutions Architects - Second Edition

Product typeBook
Published inApr 2023
PublisherPackt
ISBN-139781803238951
Edition2nd Edition
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Authors (4):
Saurabh Shrivastava
Saurabh Shrivastava
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Saurabh Shrivastava

Saurabh Shrivastava is a technology leader, author, inventor, and public speaker with over 18 years of experience in the IT industry. He currently works at Amazon Web Services (AWS) as a Global Solutions Architect Leader and enables global consulting partners and enterprise customers on their journey to the cloud. Saurabh led the AWS global technical partnerships, set his team's vision and execution model, and nurtured multiple new strategic initiatives. Saurabh has authored various blogs and whitepapers across a diverse range of technologies, such as big data, IoT, machine learning, and cloud computing. He is passionate about the latest innovations and their impact on our society and daily life. He holds a patent in the area of cloud platform automation. Before AWS, Saurabh worked as an enterprise solution architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations.
Read more about Saurabh Shrivastava

Neelanjali Srivastav
Neelanjali Srivastav
author image
Neelanjali Srivastav

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.
Read more about Neelanjali Srivastav

Alberto Artasanchez
Alberto Artasanchez
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Alberto Artasanchez

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.
Read more about Alberto Artasanchez

Imtiaz Sayed
Imtiaz Sayed
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Imtiaz Sayed

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.
Read more about Imtiaz Sayed

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AWS Well-Architected Lenses

As of April 2022, AWS has launched 13 Well-Architected Lenses addressing architecting needs specific to technology workloads and industry domains. The following are the important available lenses for AWS’s Well-Architected Framework:

  • Serverless Applications Lens – Building a serverless workload saves costs and offloads infrastructure maintenance to the cloud. The Serverless Applications Lens provides details on best practices to architect serverless application workloads in the AWS cloud. More information on the design principles is available on the AWS website: https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens.
  • Internet of Things (IoT) Lens – To design an IoT workload, you must know how to manage and secure it on millions of devices that need to connect over the internet. The IoT Lens provides details on designing an IoT workload. More details on design principles are available on the AWS website: https://docs.aws.amazon.com/wellarchitected/latest/iot-lens.
  • Data Analytics Lens – Data is the new gold. Every organization is trying to put its data to the best use to get insights for its customers and improve its business. The Data Analytics Lens provides best practices for building a data pipeline. More details on the design principles are available on the AWS website: https://docs.aws.amazon.com/wellarchitected/latest/analytics-lens.
  • Machine Learning (ML) Lens – ML applies to almost any workload, especially getting future insights from historical data. With the ever-increasing adoption of ML workloads, it is essential to have the ability to put an ML model into production and use it at scale. The ML Lens provides best practices for training, tuning, and deploying your ML model. More details on the design principles are available on the AWS website: https://docs.aws.amazon.com/wellarchitected/latest/machine-learning-lens.
  • Hybrid Networking Lens – Networking is the backbone of any application workload, whether on-premises or in the cloud. As enterprises are adopting the cloud, the need for a hybrid cloud setup is increasing every day, to establish communication between on-premises and cloud workloads. The AWS Hybrid Networking Lens introduces best practices for designing networks for the hybrid cloud. More details on the design principles are available on the AWS website: https://docs.aws.amazon.com/wellarchitected/latest/hybrid-networking-lens.

Above, we have covered some of the important lenses, but I encourage you to explore other industry-focused Well-Architected Lenses such as gaming, streaming media, finance, and workload-specific lenses, including SAP, SaaS, HPC (High-Performance Computing), and FTR (Functional Technical Review) to validate your cloud platforms. You can apply various lenses when defining your workload in AWS’s Well-Architected tool, as shown below:

Figure 2.8: AWS Well-Architected Lenses

After applying a lens to your workload, you will get a best practice checklist specific to the domain; for example, the screenshot below shows a Well-Architected checklist for the Serverless Lens:

Figure 2.9: AWS Well-Architected Serverless Lens

As shown in the preceding screenshot, much like AWS’s WAR tool where you saw six pillars in the previous section, each lens has questions related to 5 key pillars to validate workloads and identify HRIs. 

AWS users must constantly evaluate their systems to ensure that they follow the recommended principles of the AWS Well-Architected Framework and AWS Well-Architected Lenses and that they comply with and follow architecture best practices. As you must be getting more curious about AWS by now, let’s learn how to build your knowledge of the AWS cloud and establish yourself as a subject matter expert.

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Authors (4)

author image
Saurabh Shrivastava

Saurabh Shrivastava is a technology leader, author, inventor, and public speaker with over 18 years of experience in the IT industry. He currently works at Amazon Web Services (AWS) as a Global Solutions Architect Leader and enables global consulting partners and enterprise customers on their journey to the cloud. Saurabh led the AWS global technical partnerships, set his team's vision and execution model, and nurtured multiple new strategic initiatives. Saurabh has authored various blogs and whitepapers across a diverse range of technologies, such as big data, IoT, machine learning, and cloud computing. He is passionate about the latest innovations and their impact on our society and daily life. He holds a patent in the area of cloud platform automation. Before AWS, Saurabh worked as an enterprise solution architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations.
Read more about Saurabh Shrivastava

author image
Neelanjali Srivastav

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.
Read more about Neelanjali Srivastav

author image
Alberto Artasanchez

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.
Read more about Alberto Artasanchez

author image
Imtiaz Sayed

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.
Read more about Imtiaz Sayed