Develop essential skills for managing and administering solutions.
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.
Virtual Learning
This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.
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
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
FOLLOW ON COURSES:
Not available. Please contact.