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  • Book Overview & Buying AWS for Solutions Architects
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AWS for Solutions Architects

AWS for Solutions Architects - Second Edition

By : Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed
4.3 (62)
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AWS for Solutions Architects

AWS for Solutions Architects

4.3 (62)
By: Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed
Buy this Book

Overview of this book

The second edition of AWS for Solutions Architects provides a practical guide to designing cloud solutions that align with industry best practices. This updated edition covers the AWS Well-Architected Framework, core design principles, and cloud-native patterns to help you build secure, high-performance, and cost-effective architectures. Gain a deep understanding of AWS networking, hybrid cloud connectivity, and edge deployments. Explore big data processing with EMR, Glue, Kinesis, and MSK, enabling you to extract valuable insights from data efficiently. New chapters introduce CloudOps, machine learning, IoT, and blockchain, equipping you with the knowledge to develop modern cloud solutions. Learn how to optimize AWS storage, implement containerization strategies, and design scalable data lakes. Whether working on simple configurations or complex enterprise architectures, this guide provides the expertise needed to solve real-world cloud challenges and build reliable, high-performing AWS solutions.
Table of Contents (19 chapters)
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Preface
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Preface
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Who is this book for
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What this book covers
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To get the most out of this book
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Get in touch
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Join us on Discord!
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Making the Most Out of This Book – Get to Know Your Free Benefits
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Unlock Your Book’s Exclusive Benefits
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How to unlock these benefits in three easy steps
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Need help?
1
Understanding AWS Principles and Key Characteristics
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Understanding AWS Principles and Key Characteristics
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What is cloud computing?
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What is AWS (Amazon Web Services)?
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The market share, influence, and adoption of AWS
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Basic cloud and AWS terminology
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Why is AWS so popular?
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Summary
Lock Free Chapter
2
Understanding the AWS Well-Architected Framework and Getting Certified
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Understanding the AWS Well-Architected Framework and Getting Certified
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The AWS Well-Architected Framework
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The six pillars of the Well-Architected Framework
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AWS Well-Architected Lenses
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Building credibility and getting certified
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Learning tips and tricks for obtaining AWS certifications
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The best way to get certified
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Some frequently asked questions about the AWS certifications
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Summary
3
Leveraging the Cloud for Digital Transformation
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Leveraging the Cloud for Digital Transformation
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Cloud computing models
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Cloud migration strategy
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Implementing a digital transformation program
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The AWS Cloud Adoption Framework (AWS CAF)
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Architectures to provide high availability, reliability, and scalability
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Chaos engineering
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Summary
4
Networking in AWS
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Networking in AWS
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Learning about the AWS Global Infrastructure
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AWS networking foundations
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Edge networking
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Building hybrid cloud connectivity in AWS
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AWS cloud network security
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Summary
5
Storage in AWS – Choosing the Right Tool for the Job
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Storage in AWS – Choosing the Right Tool for the Job
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Understanding Amazon Elastic Block Store
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Investigating Amazon Elastic File System (EFS)
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Using Amazon FSx to manage file systems
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Learning about Amazon Simple Storage Service (S3)
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Versioning in Amazon S3
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Choosing the right cloud storage type
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Exploring Amazon S3 best practices
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Building hybrid storage with AWS Storage Gateway
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AWS Backup
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Summary
6
Harnessing the Power of Cloud Computing
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Harnessing the Power of Cloud Computing
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Compute in AWS
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Learning about Amazon EC2
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Reviewing Amazon EC2 best practices
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Amazon Elastic Load Balancing
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Learning about serverless computing with AWS Lambda and Fargate
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High-Performance Computing
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Hybrid compute
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Summary
7
Selecting the Right Database Service
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Selecting the Right Database Service
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A brief history of databases
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Database consistency model
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Database usage model
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AWS database services
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Benefits of AWS database services
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Choosing the right tool for the job
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Migrating databases to AWS
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Summary
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Best Practices for Application Security, Identity, and Compliance
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Best Practices for Application Security, Identity, and Compliance
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Understanding the importance of security, identity, and compliance in AWS
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AWS security, identity, and compliance solutions
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Getting familiar with identity and access management
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Applying security controls
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Building infrastructure protection
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Building data protection
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Adhering to compliances
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Best practices for AWS security
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Summary
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Join us on Discord!
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Driving Efficiency with CloudOps
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Driving Efficiency with CloudOps
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What is the cloud operation (CloudOps) model, and what role does automation play?
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Summary
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Big Data and Streaming Data Processing in AWS
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Big Data and Streaming Data Processing in AWS
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Why use the cloud for big data analytics?
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Amazon Elastic Map Reduce (EMR)
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Introduction to AWS Glue
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Choosing between AWS Glue and Amazon EMR
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Handling streaming data in AWS
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Choosing between Amazon Kinesis and Amazon MSK
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Summary
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Data Warehouses, Data Queries, and Visualization in AWS
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Data Warehouses, Data Queries, and Visualization in AWS
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Data warehouses in AWS with Amazon Redshift
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Querying your data lake in AWS with Amazon Athena
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Deep-diving into Amazon Athena
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Using Amazon Athena Federated Query
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Learning about Amazon Athena workgroups
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Optimizing Amazon Athena
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Using Amazon Athena versus Redshift Spectrum
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Visualizing data with Amazon QuickSight
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Putting AWS analytic services together
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Summary
12
Machine Learning, IoT, and Blockchain in AWS
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Machine Learning, IoT, and Blockchain in AWS
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What is AI/ML?
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AI/ML in AWS
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Building ML best practices with MLOps
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What is IoT?
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Building IoT applications in AWS
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Best practices to build AWS IoT applications
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Blockchain in AWS
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Quantum computing with AWS Braket
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Generative AI
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Summary
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Containers in AWS
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Containers in AWS
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Understanding containerization
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Virtual machines (VMs) and virtualization
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Containers versus VMs
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Learning about Docker
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Amazon Elastic Container Service (ECS)
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Learning about Kubernetes
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Amazon Elastic Kubernetes Service (Amazon EKS)
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Learning about AWS Fargate
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Red Hat OpenShift Service on AWS (ROSA)
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Choosing between AWS container services
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Summary
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Microservice Architectures in AWS
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Microservice Architectures in AWS
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Understanding microservices
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Layered architecture
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Event-driven architecture (EDA)
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Microservices best practices
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Domain-Driven Design (DDD)
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Summary
15
Data Lake Patterns – Integrating Your Data across the Enterprise
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Data Lake Patterns – Integrating Your Data across the Enterprise
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Definition of a data lake
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The purpose of a data lake
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Components of a data lake
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Data lakes in AWS with Lake Formation
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Data lake best practices
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Key metrics in a data lake
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Lakehouse in AWS
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Data mesh in AWS
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Choosing between a data lake, lakehouse, and data mesh architecture
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Summary
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Hands-On Guide to Building an App in AWS
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Hands-On Guide to Building an App in AWS
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An introduction to the use case
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Building architecture in AWS
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Setting up services
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Optimization with Well-Architected Review
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Summary
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Join us on Discord!
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Other Books You May Enjoy
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Other Books You May Enjoy
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Index
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Index

Key metrics in a data lake

Now more than ever, digital transformation projects have tight deadlines and are forced to continue doing more with fewer resources. It is vital to demonstrate added value and results quickly.

Ensuring the success and longevity of a data lake implementation is crucial for a corporation, and effective communication of its value is essential. However, determining whether the implementation is adding value or not is often not a binary metric and requires a more granular analysis than a simple “green” or “red” project status.

The following list of metrics is provided as a starting point to help gauge the success of your data lake implementation. It is not intended to be an exhaustive list but rather a guide to generate metrics that are relevant to your specific implementation:

  • Size: It’s important to monitor two metrics when evaluating a lake: the overall size of the lake and the size of its trusted zone...
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AWS for Solutions Architects
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