Learn to apply cloud-native patterns and practices to deliver responsive, resilient, elastic, and message-driven systems with confidence
* Understand the architectural patterns involved in cloud-native architectures
* Minimize risk by evolving your monolithic applications into distributed cloud-native systems
* Discover best practices for applying cloud-native patterns to your enterprise-level cloud applications
Build systems that leverage the benefits of the cloud and applications faster than ever before with cloud-native development. This book focuses on architectural patterns for building highly scalable cloud-native systems. You will learn how the combination of cloud, reactive principles, devops, and automation enable teams to continuously deliver innovation with confidence.
Begin by learning the core concepts that make these systems unique. You will explore foundational patterns that turn your database inside out to achieve massive scalability with cloud-native databases. You will also learn how to continuously deliver production code with confidence by shifting deployment and testing all the way to the left and implementing continuous observability in production. There's more-you will also learn how to strangle your monolith and design an evolving cloud-native system.
By the end of the book, you will have the ability to create modern cloud-native systems.
What you will learn
* Enable massive scaling by turning your database inside out
* Unleash flexibility via event streaming
* Leverage polyglot persistence and cloud-native databases
* Embrace modern continuous delivery and testing techniques
* Minimize risk by evolving your monoliths to cloud-native
* Apply cloud-native patterns and solve major architectural problems in cloud environment
Who This Book Is For
This book is for developers who would like to progress into building cloud-native systems and are keen to learn the patterns involved. Basic knowledge of programming and cloud computing is required.
About the Author
John Gilbert is a CTO with over 25 years of experience in architecting and delivering distributed, event-driven systems. His cloud journey started around 5 years ago and has spanned all the levels of cloud maturity-through lift and shift, software-defined infrastructure, microservices, and continuous deployment. He finds delivering cloud-native solutions to be, by far, the most fun and satisfying, as they force us to rewire how we reason about systems and enable us to accomplish far more with much less effort.
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Broken time schedule is not suitable on automating work distribution need module data entry to handle the accurate computation that system get the computed hours during the timesheet processing. The logic of computation is time difference for every time in/out entry that excess of regular 8 hours is overtime work. The approver decide if the overtime work is required to deduct 1 hour OT hour lunch break or OTND lunch break before it approve. read more »
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