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Architecting with Google Compute Engine

WGAC-GGL-AGCE

Google Cloud Training Courses Certification

Schedule

See all events for this courseSee all Courses
Open
Google

Architecting with Google Compute Engine

WGAC-GGL-AGCE

Virtual ILT

Language: German

CET UTC+01:00

Start date:19 Dec 2022 00:00
End date:21 Dec 2022 00:00
Duration:3 days

$ 1,950

Open
Google

Architecting with Google Compute Engine

WGAC-GGL-AGCE

Virtual ILT

Language: Italian

CET UTC+01:00

Start date:10 Jan 2023 09:30
End date:12 Jan 2023 17:30
Duration:3 days

$ 1,950

Open
Google

Architecting with Google Compute Engine

WGAC-GGL-AGCE

Munich

Language: German

CET UTC+01:00

Start date:17 Jan 2023 10:00
End date:19 Jan 2023 17:00
Duration:3 days

$ 1,950

Open
Google

Architecting with Google Compute Engine

WGAC-GGL-AGCE

London, City

Language: English

GMT UTC+00:00

Start date:25 Jan 2023 09:00
End date:27 Jan 2023 17:00
Duration:3 days

$ 1,980

Open
Google

Architecting with Google Compute Engine

WGAC-GGL-AGCE

Paris

Language: French

CET UTC+01:00

Start date:01 Feb 2023 09:00
End date:03 Feb 2023 17:00
Duration:3 days

$ 2,380

Description

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

Module 1: Introduction to Google Cloud Platform

  • Google Cloud Platform (GCP) Infrastructure
  • Using GCP
  • Lab: Console and Cloud Shell
  • Demo: Projects
  • Lab: Infrastructure Preview

Module 2: Virtual Networks

  • Virtual Private Cloud (VPC), 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

  • Compute Engine
  • Lab: Creating Virtual Machines
  • Compute options (vCPU and Memory)
  • Images
  • Common Compute Engine actions
  • Lab: Working with Virtual Machines

Module 4: Cloud IAM

  • Organizations, Roles, Members, Service accounts, Cloud IAM best practices
  • Lab: Cloud IAM

Module 5: Data Storage Services

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

Module 6: Resource Management

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

Module 7: Resource Monitoring

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

Module 8: Interconnecting Networks

  • Cloud Virtual Private Network (VPN)
  • Lab: Virtual Private Networks (VPN)
  • Cloud Router, Cloud Interconnect, External Peering, Cloud DNS

Module 9: Load Balancing

  • Managed Instance Groups, HTTPS load balancing, Cross-region and content-based load balancing, SSL proxy/TCP proxy load balancing, Network load balancing
  • Lab: VM Automation and Load Balancing

Module 10: Autoscaling

  • Autoscaling, Policies, Configuration
  • Lab: Autoscaling

Module 11: Infrastructure Automation with Google Cloud Platform APIs

  • Infrastructure automation, Images, Metadata, Scripts, Google Cloud API
  • Lab: Google Cloud Platform API Infrastructure Automation

Module 12: Infrastructure Automation with Deployment Manager

  • Deployment Manager, Configuration, Cloud Launcher
  • Lab: Deployment Manager

Module 13: Managed Services

  • Cloud Dataproc, Cloud Dataflow, BigQuery, Cloud Datalab

Module 14: Application Infrastructure Services

  • Cloud Pub/Sub, API Management, Cloud Functions, Cloud Source Repositories, Specialty APIs

Module 15: Application Development Services

  • App Engine

Module 16: Containers

  • Containers, Kubernetes Engine, Container Registry
  • Lab: Kubernetes Load Balancing
  • Kubernetes Engine, App Engine, or Containers on Compute Engine?

Completion of Google Cloud Platform Fundamentals or 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

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

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application 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.

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