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AWS for Solutions Architects

You're reading from   AWS for Solutions Architects Design your cloud infrastructure by implementing DevOps, containers, and Amazon Web Services

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781789539233
Length 454 pages
Edition 1st Edition
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Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Exploring AWS
2. Chapter 1: Understanding AWS Cloud Principles and Key Characteristics FREE CHAPTER 3. Chapter 2: Leveraging the Cloud for Digital Transformation 4. Section 2: AWS Service Offerings and Use Cases
5. Chapter 3: Storage in AWS – Choosing the Right Tool for the Job 6. Chapter 4: Harnessing the Power of Cloud Computing 7. Chapter 5: Selecting the Right Database Service 8. Chapter 6: Amazon Athena – Combining the Simplicity of Files with the Power of SQL 9. Chapter 7: AWS Glue – Extracting, Transforming, and Loading Data the Simple Way 10. Chapter 8: Best Practices for Application Security, Identity, and Compliance 11. Section 3: Applying Architectural Patterns and Reference Architectures
12. Chapter 9: Serverless and Container Patterns 13. Chapter 10: Microservice and Event-Driven Architectures 14. Chapter 11: Domain-Driven Design 15. Chapter 12: Data Lake Patterns – Integrating Your Data across the Enterprise 16. Chapter 13: Availability, Reliability, and Scalability Patterns 17. Section 4: Hands-On Labs
18. Chapter 14: Hands-On Lab and Use Case 19. Other Books You May Enjoy

Learning about AWS Batch

One way to classify software development projects is by the latency that the application requires. For example, for a UI application, the latency needs to be under a second in order to keep the application responsive and not frustrate the UI users. Other applications do not require such low latency. For example, if you need to run a complicated report for your boss every day but they said it's okay to wait 24 hours to deliver the report, then you can change the architecture of the application to take advantage of cheaper resources. For the second type of project, where low latency is not a consideration, AWS Batch is a well-suited solution.

AWS Batch enables developers to create efficient solutions for long-running compute jobs. AWS is a managed service that allows you to focus on the business logic required, and AWS handles the scheduling and provisioning of the tasks. AWS Batch enables the execution of Docker images, which in turn contain a helper...

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