Build and manage AWS infrastructure using Terraform, AWS CLI, Boto3, and the AWS CDK to automate deployments, enhance reliability, and operate scalable cloud environments
Key Features
Use a hands-on approach that mirrors real AWS operations with end-to-end examples
Use scripting and IaC to handle tasks like infrastructure deployment, credential rotation, backups, and resource cleanup
Manage complex environments with reusable code, policy enforcement, and multi-account best practices
Purchase of the print or Kindle book includes a free PDF eBook
Book DescriptionSystem 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.What you will learn
Design and deploy networks in the cloud with VPCs and deploy instances with EC2
Implement auto-scaling and load balancing to optimize application performance
Deploy relational databases with Amazon RDS
Secure credentials using AWS Secrets Manager
Monitor AWS resources using CloudWatch and SNS
Test infrastructure resiliency using AWS Fault Injection Simulator
Automate backups and implement disaster recovery strategies
Set up and manage multiple AWS accounts using AWS Organizations
Who this book is forThis book is designed for system administrators, DevOps engineers, and IT professionals who want to effectively manage and automate AWS environments. A basic understanding of cloud computing, the Linux operating system, and networking concepts is recommended.
Auflage
Sprache
Verlagsort
Editions-Typ
Maße
Höhe: 235 mm
Breite: 191 mm
Dicke: 23 mm
Gewicht
ISBN-13
978-1-83546-366-6 (9781835463666)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Marcel Neidinger is a developer turned solutions architect with a focus on cloud networking. He holds four AWS certifications, including SysOps Associate and Advanced Networking Specialty. Marcel has a passion for automation and previously wrote a book about network automation in Python. Prashant Lakhera (lakhera2015 on Twitter) is an X-RHCA (Red Hat Certified Architect) and a seasoned Linux and open source specialist with over 15 years of enterprise open source experience.
Having a positive impact on the world is important to him, which is why he shares his knowledge with others through his website, blog posts, and YouTube channel, which also helps him to dig deep into topics and build on his expertise.
Table of Contents
Setting Up the AWS Environment
Protecting Your AWS Account Using IAM
Creating a Data Center in the Cloud Using a VPC
Scalable Compute Capacity in the Cloud via EC2
Increasing Application Fault Tolerance and Efficiency with Elastic Load Balancing
Increasing Application Performance Using AWS Auto Scaling
Scaling a Relational Database in the Cloud Using Amazon Relational Database Service (RDS)
Managing Secrets and Encryption Keys with AWS Secrets Manager and KMS
Centralized Logging and Monitoring with Amazon CloudWatch
Centralizing Cloud Backup Solutions
Disaster Recovery Options with AWS
Testing the Resilience of Your Infrastructure and Architecture with AWS Fault Injection Service
Deploying Infrastructure Using CI/CD Pipelines
Building Reusable Infrastructure-as-Code Components
Ensuring Compliance Using AWS Config and SCPs
Operating in a Multi-Account Environment
End-to-End Deployment of an Application