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Architecting with Google Compute Engine

Course Code: DDL-0002

FREE ACCESS

  •   Access to course content
  •   No access to labs
  •   Certificate not included

PAID ACCESS

  •   Access to course content
  •   Access to all course labs
  •   Blockchain Enabled Certificate
  •   and Badges

ABOUT THIS COURSE

This three-day course will familiarise you with Google Cloud’s flexible infrastructure and platform services, with a specific focus on Compute Engine. The course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services.

You’ll also learn how to deploy practical solutions such as secure 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.

OBJECTIVES

This course teaches participants the following skills:

  • Configure VPC networks and virtual machines
  • Administer Identity and Access Management for resources
  • Implement data storage services in GCP
  • Manage and examine billing of GCP resources
  • Monitor resources using Stackdriver services
  • Connect your infrastructure to GCP
  • Configure load balancers and autoscaling for VM instances
  • Automate the deployment of GCP infrastructure services
  • Leverage managed services in GCP

RECOMMENDED FOR

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 Platform Fundamentals: Core Infrastructure 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

MEET THE INSTRUCTORS

  • ADRIAN SMITH

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    Since completing his B.Sc. in Computer Science, Adrian has compiled over 30 years’ IT experience. During his time as a Technical Trainer at DDLS, Adrian has worked across Microsoft, Google Cloud & AWS product sets.

  • DAVID VAN GEMERT

    • SENIOR TECHNICAL TRAINER


    PROFILE SUMMARY

    David is a Technical Trainer for DDLS for Microsoft Infrastructure and Security Training, CompTIA A+, Network+ and Security+ delivering Training and Consulting in Australia and New Zealand.

  • ITVINDER MANKOO

    • PROCESS TRAINER


    PROFILE SUMMARY

    He is a highly experienced and passionate facilitator with a wealth of ‘real-world’ experience which she uses to bring to life her training courses. She is an entertaining trainer and without exception, students excel, enjoy, and learn in an environment that is supportive, educational, and fun.

  • JOHN ANG

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    An experienced Infrastructure, Security, Consulting and Project Management in Information Technology. With more than 20 years in the IT industry, recently led the Infrastructure and Security projects for one of the largest conglomerates in the country. Highly skilled in Microsoft, Symantec, CyberArk, Qualys, SolarWinds, and IT Security Policies and Procedures.

  • LOUIS CREMEN

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    Graduated B of Computer Science at University of Wollongong in 2009. Started his own software company making mobile and web apps for other companies (CommBank, RBA, Army, Government, Enterprises). Contracted to create courses to train developers how to write apps for companies (DDLS, AUC) and then as a university lecturer (UOW).

  • MICHAEL MANASAN

    • SENIOR TECHNICAL TRAINER


    PROFILE SUMMARY

    Michael is a versatile individual with a passion for technology, be it open or closed source. He is interested in infrastructure, messaging, database, and development technologies as well as management processes. Michael is continually upgrading his skillset as well as adding new skills that fancies his interest.

  • TERRY GRIFFIN

    • TECHNICAL TRAINER


    PROFILE SUMMARY

    Terry is a technology specialist and brings to the classroom his extensive experience and knowledge which he uses to keep his courses interesting to the attendees. He is known as a Microsoft, VMware, and Citrix evangelist, and brings that enthusiasm to the classroom.

  COURSE OUTLINE


  • Module 1: Introduction to Google Cloud
    • List the different ways of interacting with Google Cloud.
    • Use the Cloud Console and Cloud Shell.
    • Create Cloud Storage buckets.
    • Use the Google Cloud Marketplace to deploy solutions.

  • Module 2: Virtual Networks
    • List the VPC objects in Google Cloud.
    • Differentiate between the different types of VPC networks.
    • Implement VPC networks and firewall rules.
    • Implement Private Google Access and Cloud NAT.

  • Module 3: Virtual Machines
    • Recall the CPU and memory options for virtual machines.
    • Describe the disk options for virtual machines.
    • Explain VM pricing and discounts.
    • Use Compute Engine to create and customize VM instances.

  • Module 4: CloudIAM
    • Describe the Cloud IAM resource hierarchy.
    • Explain the different types of IAM roles.
    • Recall the different types of IAM members.
    • Implement access control for resources using Cloud IAM.

  • Module 5: Storage and Database Services
    • Differentiate between Cloud Storage, Cloud SQL, Cloud
    • Spanner, Cloud Firestore and Cloud Bigtable.
    • Choose a data storage service based on your requirements.
    • Implement data storage services.

  • Module 6: Resource Management
    • Describe the cloud resource manager hierarchy.
    • Recognize how quotas protect Google Cloud customers.
    • Use labels to organize resources.
    • Explain the behavior of budget alerts in Google Cloud.
    • Examine billing data with BigQuery.

  • Module 7: Resource Monitoring
    • Describe the services for monitoring, logging, error reporting, tracing, and debugging.
    • Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
    • Use Cloud Debugger to identify and fix errors.

  • Module 8: Interconnecting Networks
    • Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
    • Determine which Google Cloud interconnect or peering service to use in specific circumstances.
    • Create and configure VPN gateways.
    • Recall when to use Shared VPC and when to use VPC Network Peering.

  • Module 9: Load Balancing and Autoscaling
    • Recall the various load balancing services.
    • Determine which Google Cloud load balancer to use in specific circumstances.
    • Describe autoscaling behavior.
    • Configure load balancers and autoscaling.

  • Module 10: Infrastructure Modernization
    • Automate the deployment of Google Cloud services using
    • Deployment Manager or Terraform.
    • Outline the Google Cloud Marketplace.

  • Module 11: Managed Services
    • Describe the managed services for data processing in Google Cloud.

Course Details

  1. Classes Start

  2. Estimated Effort

    3 days/week, max. 8 hours/day
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