Architecting with Google Cloud Platform: Infrastructure, Mountain View
This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. Objectives This course teaches participants the following skills: Consider the entire range of Google Cloud Platform technologies in their plans Learn methods to develop, implement, and deploy solutions Distinguish between features of similar or related products and technologies Recognize a wide variety of solution domains, use cases, and applications Develop essential skills for managing and administering solutions Develop knowledge of solution patterns—methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities Prerequisites To get the most out of this course, participants should have: Completed Google Cloud Platform Fundamentals or have equivalent experience Basic proficiency with command-line tools and Linux operating system environments Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment Audience This class is intended for experienced developers who are responsible for managing big data transformations including: Cloud Solutions Architects, Systems Operations professionals, DevOps Engineers, IT managers Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform Course Outline Module 1: Introduction to Google Cloud Platform Role of the Cloud Architect Learn about Solution Domains as an approach to design Lab: Console and Cloudshell Module 2: Virtual Networks Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules Subnetworks for resource management instead of physical network topology Lab: Virtual Networking Module 3: Virtual Machines GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs Module 4: Cloud IAM Members, roles, organizations, account administration, service accounts Lab: Cloud IAM Module 5: Resource Management Billing, Quotas, Labels, Names, Cloud Resource Manager Lab: Lab Billing Module 6: Data Services Cloud Storage, Datastore, Bigtable, Cloud SQL Lab: Cloud Storage Lab: Cloud SQL Module 7: Interconnecting Networks VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS Lab: VPN and Cloud Router Module 8: Infrastructure Automation Infrastructure automation, custom images, startup and shutdown scripts and metadata, Deployment Manager,Cloud Launcher Lab: Hadoop Cluster Maker Lab: Virtual Machine Module 9: Autoscaling Load Balancing, Instance Groups, Autoscaler Lab: Autoscaling Module 10: Resource Monitoring Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging Lab: Resource Monitoring (Stackdriver) Module 11: Containers Containers, Google Container Engine (GKE), and Container Registry Module 12: Platform Security Learn about Google’s layered security strategy that uses a multi-faceted approach to provide platform security services and benefits Module 13: Managed Services Dataproc, Dataflow, BigQuery, Datalab Lab: BigQuery and Datalab Module 14: Application Development Infrastructure GAE, Cloud SDK, Dev Tools, Cloud Source Repos, Cloud Pub/Sub, Cloud Endpoints and APIgee, Cloud Functions
883 North Shoreline Boulevard
Mountain View, CA 94043
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