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Mastering Amazon EC2

You're reading from   Mastering Amazon EC2 Unravel the complexities of EC2 to build robust and resilient applications

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781804616680
Length 404 pages
Edition 1st Edition
Languages
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Author (1):
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Badri Kesavan Badri Kesavan
Author Profile Icon Badri Kesavan
Badri Kesavan
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Diving into Amazon EC2 Fundamentals
2. Chapter 1: Introduction to Amazon EC2 and Its Benefits FREE CHAPTER 3. Chapter 2: Understanding Core Components of Amazon EC2 4. Chapter 3: Creating and Managing Amazon Machine Images (AMI) 5. Chapter 4: Choosing the Right Amazon EC2 Instance Type and Size 6. Chapter 5: Networking and Connectivity in Amazon EC2 7. Chapter 6: Implementing Security Best Practices in Amazon EC2 8. Part 2: Building a Resilient Application on Amazon EC2
9. Chapter 7: Load Balancing and Auto Scaling with Elastic Load Balancer and Auto Scaling Groups 10. Chapter 8: Understanding and Optimizing Amazon EC2 Storage Options 11. Chapter 9: Optimizing Performance with Amazon EC2 Placement Groups and Pricing Model 12. Chapter 10: Monitoring, Logging, and Maintenance with Amazon CloudWatch, AWS CloudTrail, and Backup Strategies 13. Chapter 11: Automating Amazon EC2 – AWS CloudFormation and Infrastructure as Code 14. Part 3: Advanced Amazon EC2 Concepts and Use Cases
15. Chapter 12: Containerization and Serverless Computing in Amazon EC2 16. Chapter 13: Leveraging AWS Services for Hybrid and Multi-Cloud Architectures 17. Chapter 14: Optimizing Amazon EC2 for High-Performance Computing, Big Data, and Disaster Recovery Strategies 18. Chapter 15: Migrating, Modernizing, and Ensuring Compliance in Amazon EC2 Environments 19. Index 20. Other Books You May Enjoy

Optimizing Amazon EC2 for High-Performance Computing, Big Data, and Disaster Recovery Strategies

This chapter strives to equip readers with practical guidance and a comprehensive understanding of leveraging Amazon EC2 for high-performance computing (HPC) and big data applications, alongside essential disaster recovery (DR) strategies. The journey begins with laying the groundwork through the introduction of HPC and big data on Amazon EC2, highlighting specialized EC2 instances and graphics processing unit (GPU) accelerators designed for this demanding workload. The narrative then shifts to big data solutions, emphasizing Amazon Elastic MapReduce (EMR) and Amazon Redshift as pivotal tools for processing vast warehousing datasets.

Further through, the chapter will look into the intricacies of HPC and Big Data Clusters, focusing on network configurations and storage optimizations to improve performance. We will then transition into DR strategies, understanding the importance of DR...

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