This book covers essential best practices for deploying and managing applications on Amazon Web Services. Andreas and Michael Wittig cover techniques for building highly available and scalable architectures and automating deployment with Infrastructure as Code. The revised edition features new chapters on containerization, along with a variety of AWS innovations.
<ASIN:163343916X >
Author: Andreas Wittig and Michael Wittig Publisher: Manning Date: May 2023 Pages: 552 ISBN: 978-1633439160 Print: 163343916X Kindle: B0C1ZYCMPV Audience: Web developers Level: Intermediate Category: Web design and development
Topics covered:
- Make use of 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
For recommendations of books on web development see Web Design And Development - Top Pick CSS And HTML Books and Web Design And Development - More Books in our Programmer's Bookshelf section.
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Understanding Software Dynamics (Addison-Wesley)
Author: Richard L. Sites Publisher: Addison-Wesley Pages: 464 ISBN: 978-0137589739 Print: 0137589735 Kindle: B09H5JB5HC Audience: Every developers Rating: 5 Reviewer: Kay Ewbank
This book looks at the different reasons why software runs too slowly, and what developers can do about it, starting by looki [ ... ]
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Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
Author: Oswald Campesato Publisher: Mercury Learning Date: February 2020 Pages: 300 ISBN: 978-1683924678 Print: 1683924673 Kindle: B084P1K9YP Audience: Developers interested in machine learning Rating: 4 Reviewer: Mike James
Another AI/ML book - is there room for another one?
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