Amazon Web Services in Action, Third Edition: An In-Depth Guide to AWS
Paperback
DatabasesGeneral ComputersProgramming
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ISBN13: 9781633439160
Publisher: Manning Publications
Published: May 2 2023
Pages: 552
Weight: 2.10
Height: 1.34 Width: 7.32 Depth: 9.13
Language: English
- Leverage globally distributed data centers to launch virtual machines with EC2
- Store and archive large volumes of data with EBS, S3, and EFS
- Persist and query data with highly available and scalable database systems with RDS and DynamoDB
- Enhance performance with caching data in-memory with ElastiCache and MemoryDB
- Use Infrastructure as Code to automate your cloud infrastructure
- Secure workloads running in the cloud with VPC and IAM
- Build fault-tolerant web applications with ALB and SQS
- Automate common sysadmin tasks with Lambda, CLI, and SDK
- Build cloud-native applications based on containers with AppRunner, ECS, Fargate
- Leverage globally distributed data centers to launch virtual machines
- Enhance performance with caching data in-memory
- Secure workloads running in the cloud with VPC and IAM
- Build fault-tolerant web applications with ALB and SQS
About the ReaderWritten for mid-level developers, DevOps or platform engineers, architects, and system administrators.About the Author Andreas Wittig and Michael Wittig are software engineers and consultants focused on AWS. Together, they migrated the first bank in Germany to AWS in 2013.Table of ContentsPART 1 - GETTING STARTED
1 What is Amazon Web Services?
2 A simple example: WordPress in 15 minutes
PART 2 - BUILDING VIRTUAL INFRASTRUCTURE CONSISTING OF COMPUTERS AND NETWORKING
3 Using virtual machines: EC2
4 Programming your infrastructure: The command line, SDKs, and CloudFormation
5 Securing your system: IAM, security groups, and VPC
6 Automating operational tasks with Lambda
PART 3 - STORING DATA IN THE CLOUD
7 Storing your objects: S3
8 Storing data on hard drives: EBS and instance store
9 Sharing data volumes between machines: EFS
10 Using a relational database service: RDS
11 Caching data in memory: Amazon ElastiCache and MemoryDB
12 Programming for the NoSQL database service: DynamoDB
PART 4 - ARCHITECTING ON AWS
13 Achieving high availability: Availability zones, autoscaling, and CloudWatch
14 Decoupling your infrastructure: Elastic Load Balancing and Simple Queue
Service
15 Automating deployment: CodeDeploy, CloudFormation, and Packer
16 Designing for fault tolerance
17 Scaling up and down: Autoscaling and CloudWatch
18 Building modern architectures for the cloud: ECS, Fargate, and App Runner
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