Hybrid Cloud Security Patterns (eBook)

Security is a primary concern for enterprises going through digital transformation and accelerating their journey to multi-cloud environments. This book recommends a simple pattern-based approach to architecting, designing and implementing security for workloads deployed on AWS, Microsoft Azure, Google Cloud, and IBM Cloud.
The book discusses enterprise modernization trends and related security opportunities and challenges. You'll understand how to implement identity and access management for your cloud resources and applications. Later chapters discuss patterns to protect cloud infrastructure (compute, storage and network) and provide protection for data at rest, in transit and in use. You'll also learn how to shift left and include security in the early stages of application development to adopt DevSecOps. The book also deep dives into threat monitoring, configuration and vulnerability management, and automated incident response. Finally, you'll discover patterns to implement security posture management backed with intelligence and automated protection to stay ahead of threats.
By the end of this book, you'll have learned all the hybrid cloud security patterns and be able to use them to create zero trust architecture that provides continuous security and compliance for your cloud workloads.

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Understand unique security patterns related to identity and access management, infrastructure, data and workload protection, compliance and posture management, and zero trust for your hybrid cloud deploymentsKey FeaturesSecure cloud infrastructure, applications, data, and shift left security to create DevSecOpsExplore patterns for continuous security, automated threat detection and accelerated incident responseLeverage hybrid cloud security patterns for protecting critical data using a zero trust modelPurchase of the print or Kindle book includes a free eBook in the PDF formatBook DescriptionSecurity is a primary concern for enterprises going through digital transformation and accelerating their journey to multi-cloud environments. This book recommends a simple pattern-based approach to architecting, designing and implementing security for workloads deployed on AWS, Microsoft Azure, Google Cloud, and IBM Cloud.The book discusses enterprise modernization trends and related security opportunities and challenges. You'll understand how to implement identity and access management for your cloud resources and applications. Later chapters discuss patterns to protect cloud infrastructure (compute, storage and network) and provide protection for data at rest, in transit and in use. You'll also learn how to shift left and include security in the early stages of application development to adopt DevSecOps. The book also deep dives into threat monitoring, configuration and vulnerability management, and automated incident response. Finally, you'll discover patterns to implement security posture management backed with intelligence and automated protection to stay ahead of threats.By the end of this book, you'll have learned all the hybrid cloud security patterns and be able to use them to create zero trust architecture that provides continuous security and compliance for your cloud workloads.What you will learnAddress hybrid cloud security challenges with a pattern-based approachManage identity and access for users, services, and applicationsUse patterns for secure compute, network isolation, protection, and connectivityProtect data at rest, in transit and in use with data security patternsUnderstand how to shift left security for applications with DevSecOpsManage security posture centrally with CSPMAutomate incident response with SOARUse hybrid cloud security patterns to build a zero trust security modelWho this book is forThe book is for cloud solution architects, security professionals, cloud engineers, and DevOps engineers, providing prescriptive guidance on architecture and design patterns for protecting their data and securing applications deployed on hybrid cloud environments. Basic knowledge of different types of cloud providers, cloud deployment models, and cloud consumption models is expected.