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

Product type Paperback

Published in May 2024

Publisher Packt

ISBN-13 9781804616680

Length 404 pages

Edition 1st Edition

Languages

Python

Tools

AWS Cloud9

Concepts

Cloud Computing

Author (1):

Badri Kesavan

View More author details

Table of Contents (21) Chapters

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

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Big data solutions on Amazon EC2

Amazon EC2 provides a versatile environment to run big data applications. With Amazon EC2, one can harness the power of extensive computing resources to process, analyze, and extract value from large datasets. Also, EC2 allows you to tailor the infrastructure for your specific big data workloads by customizing instance types, such as memory-optimized or compute-optimized options. Whether you are processing logs, analyzing clickstreams, or handling large-scale databases, EC2 offers the flexibility to handle these tasks efficiently.

EC2 offers integration with other AWS services such as Amazon S3, DynamoDB, and Data Pipeline, providing you with a comprehensive solution for big data processing and storage. This integration facilitates seamless data transfer, processing, and analysis, all within the AWS ecosystem.

Let us move on and explore Amazon EMR, a service that plays an important role in processing big data on AWS, and see how it integrates...