ARCHITECTING WITH GOOGLE CLOUD PLATFORM: INFRASTRUCTURE
(3 DAYS)
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
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
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
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
* 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
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19/07/2018 Last update