Learn fundamental to advanced GCP architectural concepts and techniques using 30+ real-world GCP use-cases and 12 hands-on practical labs. The 'Google Cloud Platform an Architect's Guide' book is a comprehensive handbook that covers everything that you need to know from GCP fundamentals to advanced cloud architecture topics. The book covers what you need to understand to pass the Google certification exams but goes far further and deeper as it explores real-world use cases and business scenarios. But you don't need to be an IT expert as the book is designed to cater for both beginners and those experienced in other cloud or on other on-premises networks. To that end, the book is split into distinct parts that caters for all levels of expertise. Part -1 is aimed at the novice someone new to a cloud architecture environment that needs to become familiar with the fundamentals of cloud architecture and industry best practices so the more experienced reader may wish to skip this section. Part-2 takes a far deeper dive into GCP theory and practice as well as providing real-world use cases and practical tips that are beneficial for architects at all levels. Part-3 delves much deeper into GCP practical theory on elasticity, scalability and resilience. It also covers Kubernetes in greater detail and touches on High-Performance Computing and IoT designs. The book closes with a final part dealing with cloud-native design practices and as such it covers design, monitoring, notification and remediation techniques to ensure best practice in cloud-native application design, deployment, stabilisation and commissioning.Table of ContentsGoogle Cloud Platform an Architect's GuideChapter 1 - An Introduction to the Google Cloud PlatformChapter 2 – Introduction to Cloud SecurityChapter 3 - Interacting with Google Cloud PlatformChapter 4 - Compute Engine and Virtual MachinesChapter 5 – Cloud Data StorageChapter 6 - Containers and Kubernetes EngineChapter 7 - App EngineChapter 8 - Cloud FunctionsChapter 9 – Using GCP Cloud ToolsChapter 10 - Cloud Big Data SolutionsChapter 11 - Machine LearningChapter 12 - Google Cloud NetworkingChapter 13 - VMs in Compute Engine deep-diveChapter 14 - Identity Access Management a deep-diveChapter 15 - Data Storage Services a deep-diveChapter 16 – Resource and Cost ManagementChapter 17 – Network Interconnects and VPC SharingChapter 18 – Automation, Elasticity and Auto-ScalingChapter 19 – Automating infrastructure with GCP APIs.Chapter 20 - Elastic Cloud: Containers and ServicesChapter 21 – Cloud Service DesignChapter 22 - Use Case: Cloud Service DesignChapter 23 – Cloud Architecture LayersChapter 24 - Resilient or High-Availability DesignChapter 25 – Security by Design and by DefaultChapter 26 – Building an Architecture for IoTChapter 27 – Cloud MigrationChapter 28 – Cloud DimensioningChapter 29 - Monitoring, Alerting, & Incident Response