Course Description
This three-day instructor-led class introduces you to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you will 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
· 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
Agenda
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
· Lab: Projects
· Lab: Infrastructure Preview
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
· Lab: Bastion Host
Module 3: Virtual Machines
· GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
· Lab: Creating Virtual Machines
· Lab: Working with Virtual Machines
Module 4: Cloud IAM
· Members, roles, organizations, account administration, service accounts
· Lab: Cloud IAM
Module 5: Data Storage Services
· Cloud Storage, Datastore, Bigtable, Cloud SQL
· Lab: Cloud Storage
· Lab: Cloud SQL
· Lab: Cloud Datastore
Module 6: Resource Management
· Billing, Quotas, Labels, Names, Cloud Resource Manager
· Lab: Billing Administration
· Lab: Examining Billing Data and BigQuery
Module 7: Resource Monitoring
· Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging
· Lab: Resource Monitoring (Stackdriver)
· Lab: Error Reporting and Debugging (Stackdriver)
Module 8: Interconnecting Networks
· VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS
· Lab: Virtual Private Networks (VPN)
· Lab: Dynamic VPN with Cloud Routers
Module 9: Load Balancing
· Network Load Balancing, HTTP(S) Load Balancing, SSL Load Balancing and Internal Load Balancing, Managed Instance Groups
· Lab: VM Automation and Load Balancing
Module 10: Autoscaling
· Autoscaler
· Lab: Autoscaling
Module 11: Infrastructure Automation with Cloud API
· Infrastructure automation, custom images, startup and shutdown scripts and metadata
· Lab: Cloud API Infrastructure Automation
Module 12: Infrastructure Automation with Deployment Manager
· Deployment Manager templates
· Lab: Deployment Manager
Module 13: Managed Services
· Dataproc, Dataflow, BigQuery, Datalab
Module 14: Application Development Infrastructure
· Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions
Module 15: Application Development Services
· Google App Engine (GAE), Dev Tools, Cloud Source Repos.
· Lab: App Engine Development
Module 16: Containers
· Containers, Google Container Engine (GKE), and Container Registry.
· Lab: Kubernetes Load Balancing
Comments
Office Policy: In fairness to all participants, anyone arriving more than 30 minutes late will be rescheduled for another class date.
Cancellation Policy: No Shows: If you are registered for a class and do not attend and fail to contact our office to cancel or reschedule, a fee equivalent to your daily rate will be applied.
Rescheduling: Productivity Point reserves the right to cancel or reschedule any training course.Should we reschedule a course, a full credit will be applied to the rescheduled course. Productivity Point cannot assume responsibility for any other costs to the student (i.e.non-refundable airline tickets). Class credits are redeemable for up to 1 years.
Cancellations: There is no charge for cancellations that are made Ten (10) or more business days prior to the scheduled training date. Cancellations that are made nine (9) business days or less of the scheduled training date are considered “late cancellations” and the full price of the class will be charged.All training cancelled within 10 or more business days' notice will have a credit on account in the full amount of purchase. This credit can be applied to any Productivity Point products or services for up to 1 year from the date of original transaction. There are no refunds.