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AWS for System Administrators

AWS for System Administrators - Second Edition

By : Marcel Neidinger, Prashant Lakhera
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AWS for System Administrators

AWS for System Administrators

By: Marcel Neidinger, Prashant Lakhera

Overview of this book

System administrators adopting AWS often struggle with automation, scalability, and multi-account management. Originally authored by Prashant Lakhera and now thoroughly updated by Senior Solutions Architect Marcel Neidinger, this second edition is your scenario-driven, hands-on guide to efficiently deploying and managing cloud infrastructure using Infrastructure as Code (IaC). This updated edition features new topics like chaos engineering with AWS Fault Injection Simulator, multi-account CI/CD deployments, reusable IaC patterns, and cloud compliance using AWS Config and service control policies—all to help you build modern cloud architectures. You’ll set up AWS CLI, Terraform, and CDK to automate deployments, as well as explore cloud networking with VPCs, EC2, and Transit Gateway, followed by auto-scaling and load balancing strategies. The chapters highlight AWS Secrets Manager for securely storing and accessing your secrets, along with CloudWatch for monitoring and observability in the cloud. You’ll implement centralized logging and develop backup and disaster recovery strategies. The book guides you through the processes and best practices for setting up a multi-account environment, with real-world scenarios for optimizing costs and ensuring high availability. By the end of this book, you’ll have the skills to efficiently deploy, manage, and optimize AWS infrastructure at scale.
Table of Contents (25 chapters)
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1
Part 1: AWS Services and Tools
4
Part 2: Building Infrastructure
7
Part 3: Scalability and Elasticity of our Cloud Infrastructure
12
Part 4: Monitoring, Metrics, and the Backup Layer
17
Part 5: Deployments at Scale

Increasing Application Performance Using AWS Auto Scaling

In the previous chapters, we saw how the Amazon Elastic Compute Cloud (EC2) service can be used to dynamically spin up virtual machines in seconds. In Chapter 5, we also saw how Elastic Load Balancing (ELB) can be used to distribute traffic between a (possibly changing) number of instances. In this chapter, we’ll add the final piece of the puzzle for scalable computing. One of the benefits of the cloud is the availability of on-demand capacity when we need it. However, it would be cumbersome for us as administrators and operators to manually check the load of our machines and add or remove compute capacity based on those manually checked load numbers. This is where auto-scaling comes into play.

AWS Auto Scaling will scale the number of instances based on demand. This means that if the load hits a critical point, new instances will be added, and once the load on our system goes down, instances will be terminated.

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AWS for System Administrators
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