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Engineering Resilient Systems on AWS (Grayscale Indian Reprint)

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Engineering Resilient Systems on AWS (Grayscale Indian Reprint)All Indian Reprints of O'Reilly are printed in GrayscaleTo 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

All Indian Reprints of O'Reilly are printed in GrayscaleTo 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 patterns
Implement stateless microservices for high availability
Consider multi-Region designs to meet business requirements
Implement backup and restore, pilot light, warm stand, and active-active strategies
Build applications that withstand AWS Region and Availability Zone impairments
Use chaos engineering experiments for fault injection to test for resilience
Assess the trade-offs when building resilient systems, including cost, complexity, and operational burden
About the AuthorKevin Schwarz is a technology leader with a proven track record of delivering innovative solutions for complex business needs. He has held key leadership roles at prominent companies, including Amazon Web Services (AWS), Bank of America, and led development at a technology startup. Currently serving as a principal solutions architect at AWS, he designs cloud strategies for top US banks and financial services customers.Kevin has authored AWS whitepapers, blogs, and workshops. He is an alumnus of the University of Florida, where he earned his MBA, a BS, and a BA.Jennifer Moran is a Senior Resilience Specialist Solutions Architect for AWS. Her diverse technical background uniquely equips her to address the complexities of building resilient systems. She is a recognized authority and core member of the Technical Field Community for Resilience at AWS, focusing on Business Continuity and Disaster Recovery.Jennifer is a sought-after speaker known for sharing her expertise on resilience at a wide range of events, including AWS Summits and AWS re:Invent. She has also been a featured speaker at both the Grace Hopper Celebration and the O'Reilly Software Architecture Superstream Series. Jennifer is passionate about educating and enabling others to build resilient workloads on AWS.In addition to her technical accomplishments, Jennifer continuously advocates for diversity and inclusion in technology. She actively champions women in tech and works tirelessly to create opportunities for and mentor underrepresented individuals.Dr. Nate Bachmeier (Ph.D. CS; MBA; all AWS certifications) nomadically explores North America one cloud integration at a time. He helps the largest and most complex financial service customers migrate and modernize their workloads into cloud-native systems. Nate is a thought leader at AWS Summits, AWS RE: INVENT, industry conferences, and content bar raiser for resiliency, machine learning, storage, computing, and AWS best practices. Beyond this, he recently released Computer Vision on AWS and is a core member of the official AWS Disaster Recovery Immersion Day.

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SKU: 86132300734

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