Architecture Of Google Cloud Platform: Infrastructure

Course Outline

course includes presentations, demonstrations, and hands-on labs.

Essential Cloud Infrastructure: Foundation

Introduction to Google Cloud Platform

• Role of the Cloud Architect.
• Learn about Solution Domains as an approach to design.
• Lab: Console and Cloud Shell.
• Lab: Projects.
• Lab: Infrastructure Preview.

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.

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.
• Essential Cloud Infrastructure: Core Services

Cloud IAM

• Members, roles, organizations, account administration, service accounts.
• Lab: Cloud IAM.

Data Storage Services

• Cloud Storage, Datastore, Bigtable, Cloud SQL.
• Lab: Cloud Storage.
• Lab: Cloud SQL.
• Lab: Cloud Datastore.

Resource Management

• Billing, Quotas, Labels, Names, Cloud Resource Manager.
• Lab: Billing Administration.
• Lab: Examining Billing Data with BigQuery.

Resource Monitoring

• Stackdriver, Monitoring, Logging, Error Reporting, Tracing, Debugging.
• Lab: Resource Monitoring (Stackdriver).
• Lab: Error Reporting and Debugging (Stackdriver).

ELASTIC CLOUD INFRASTRUCTURE: SCALING AND AUTOMATION

INTERCONNECTING NETWORKS

• VPNs, Cloud Router, Cloud Interconnect, Direct Peering, Cloud DNS.
• Lab: Virtual Private Networks (VPN).
• Lab: Dynamic VPN with Cloud Routers.

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.

AUTOSCALING

• Autoscaler
• Lab: Autoscaling.

ELASTIC CLOUD INFRASTRUCTURE: CONTAINERS AND SERVICES

APPLICATION INFRASTRUCTURE SERVICES

• Cloud Pub/Sub, Cloud Endpoints and Apigee, Cloud Functions.

APPLICATION DEVELOPMENT SERVICES

• Google App Engine (GAE), Dev Tools, Cloud Source Repos.
• Lab: App Engine Development.

CONTAINERS

• Containers, Google Container Engine (GKE), and Container Registry.
• Lab: Kubernetes Load Balancing.

INFRASTRUCTURE AUTOMATION WITH CLOUD API

• Infrastructure automation, custom images, startup and shutdown scripts and metadata.
• Lab: Cloud API Infrastructure Automation.

INFRASTRUCTURE AUTOMATION WITH DEPLOYMENT MANAGER

• Deployment Manager Templates.
• Lab: Deployment Manager.

MANAGED SERVICES

• Dataproc
• Dataflow
• BigQuery
• Datalab
• Architecture Of Google Cloud Platform: Design and Process

COURSE OUTLINE

The course includes presentations, demonstrations, and hands-on labs.

DEFINING THE SERVICE

• Design in this class.
• State and solution.
• Measurement
• Gathering requirements, SLOs, SLAs, and SLIs (key performance indicators).

BUSINESS-LOGIC LAYER DESIGN

• Microservices architectureGCP 12-factor support.
• Mapping compute needs to Google Cloud Platform processing services.
• Compute system provisioning.

DATA LAYER DESIGN

• Classifying and characterizing data.
• Data ingest and data migration.
• Identification of storage needs and mapping to Google Cloud Platform storage systems.

PRESENTATION LAYER DESIGN

• Network edge configuration.
• Network configuration for data transfer within the service, including load balancing and network location.
• Network integration with other environments, including on premise and multi-cloud.

DESIGN FOR RESILIENCY, SCALABILITY, AND DISASTER RECOVERY

• Failure due to loss of resources.
• Failure due to overload.
• Strategies for coping with failure.
• Business continuity and disaster recovery, including restore strategy and data lifecycle management.
• Scalable and resilient design.

DESIGN FOR SECURITY

• Google Cloud Platform security.
• Network access control and firewalls.
• Protections against denial of service.
• Resource sharing and isolation.
• Data encryption and key management.
• Identity access and auditing.

CAPACITY PLANNING AND COST OPTIMIZATION

• Capacity planning.
• Pricing

DEPLOYMENT, MONITORING AND ALERTING, AND INCIDENT RESPONSE

• Deployment
• Monitoring and alerting.
• Incident response.

EX300 - Red Hat Certified Engineer