COURSE OBJECTIVE:
In this course you will learn:
• 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
TARGET AUDIENCE:
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 PREREQUISITES:
• Have completed Google Cloud Platform Fundamentals or have equivalent experience
• Basic proficiency with command-line tools and Linux operating system environments
• Have systems operations experience including deploying and managing applications, either on-premises or in a public cloud environment
COURSE CONTENT:
1. Introduction to Google Cloud Platform
• Role of the Cloud Architect
• Learn about Solution Domains as an approach to design
2. Virtual Networks
• Cloud Virtual Networks (CVN), Projects, Networks, Subnetworks, IP addresses, Routes, Firewall rules
• Subnetworks for resource management instead of physical network topology
3. Virtual Machines
• GCE, tags, VM options, vCPUs, disk options, images, and special features of persistent disks for VMs
4. Cloud IAM
• Members, roles, organizations, account administration, and service accounts
5. Resource Management
• Billing, Quotas, Labels, Names, and Cloud Resource Manager
6. Data Services
• Cloud Storage, Datastore, Bigtable, and Cloud SQL
7. Interconnecting Networks
• VPNs, Cloud Router, Cloud Interconnect, Direct Peering, and Cloud DNS
8. Infrastructure Automation
• Infrastructure automation, custom images, startup and shutdown scripts and metadata, Deployment Manager, and Cloud Launcher
9. Autoscaling
• Load Balancing, Instance Groups, and Autoscaler.
10. Resource Monitoring
• Stackdriver, Monitoring, Logging, Error Reporting, Tracing, and Debugging
11. Containers
• Containers, Google Container Engine (GKE), and Container Registry
12. Platform Security
• Learn about Google's layered security strategy that uses a multi-faceted approach to provide platform security services and benefits
13. Managed Services
• Dataproc, Dataflow, BigQuery, and Datalab
14. Application Development Infrastructure
• GAE, Cloud SDK, Dev Tools, Cloud Source Repos, Cloud Pub/Sub, Cloud Endpoints, and APIgee, Cloud Functions
FOLLOW ON COURSES:
Not available. Please contact.