Architecting with Google Compute Engine

Length

3 days

Price

$2800.00 inc GST

Overview

This three-day course 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.

On successful completion of this course, DDLS will issue you a digital badge that you can share on your social media channels and use as part of your wider applicable certification and training transcript.

Key Topics

Detailed Info

Introduction to Google Cloud Platform
Virtual Networks
Virtual Machines
Cloud IAM
Data Storage Services
Resource Management
Resource Monitoring
Interconnecting Networks
Load Balancing
Autoscaling
Infrastructure Automation with Google Cloud Platform APIs
Infrastructure Automation with Deployment Manager
Managed Services
Application Infrastructure Services
Application Development Services
Containers

Skills Gained

Key Topics

Target Audience

Prerequisites

Skills Gained

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
Recognise 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

Key Topics

Essential Cloud Infrastructure: Foundation

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

Essential Cloud Infrastructure: Core Services

Module 4: Cloud IAM

Organisations, 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)

Elastic Cloud Infrastructure: Scaling and Automation

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

Elastic Cloud Infrastructure: Containers and Services

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?

Target Audience

This course is intended for the following participants:

Cloud Solutions Architects, DevOps Engineers
Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine.

Prerequisites

To get the most out of this course, participants should have:

Completed Google Cloud 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

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The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

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Virtual-Classroom

03 Aug - 05 Aug

21 Sep - 23 Sep

26 Oct - 28 Oct

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This course aligns to two Google certifications

Associate Cloud Engineer
Professional Cloud Architect

Length

Price

Overview

Key Topics

Skills Gained

Key Topics

Target Audience

Prerequisites

Book Your Course

This course aligns to two Google certifications

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