
Shipping Estimate
USA
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- USA
- CAN
Ships within 48 hours · Estimated delivery Jul 9 - Jul 14
For Your Every Summer RSVP, with Code: SUMMER15
Description
Engineering Resilient Systems on AWS : Design, Build, and Test for ResilienceTo ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively, thinking that because the cloud is resilient, their applications will be too. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands on
To ensure that applications are reliable and always available, more businesses today are moving applications to AWS. But many companies still struggle to design and build these cloud applications effectively, thinking that because the cloud is resilient, their applications will be too. With this practical guide, software, DevOps, and cloud engineers will learn how to implement resilient designs and configurations in the cloud using hands-on independent labs. Authors Kevin Schwarz, Jennifer Moran, and Dr. Nate Bachmeier from AWS teach you how to build cloud applications that demonstrate resilience with patterns like back off and retry, multi-Region failover, data protection, and circuit breaker with common configuration, tooling, and deployment scenarios. Labs are organized into categories based on complexity and topic, making it easy for you to focus on the most relevant parts of your business. You'll learn how to:Configure and deploy AWS services using resilience patternsImplement stateless microservices for high availabilityConsider multi-Region designs to meet business requirementsImplement backup and restore, pilot light, warm standby, and active-active strategiesBuild applications that withstand AWS Region and Availability Zone impairmentsUse chaos engineering experiments for fault injection to test for resilienceAssess the trade-offs when building resilient systems, including cost, complexity, and operational burden
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