Architecting with Google Compute Engine Training in New Zealand

  • Learn via: Classroom
  • Duration: 3 Days
  • Level: Intermediate
  • Price: From €4,017+VAT
We can host this training at your preferred location. Contact us!

This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This session 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.

Audience:

  • 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 Compute Engine.

  • Have completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience.
  • Have 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.

  • 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

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.


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
19 May 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
01 July 2024
Auckland, Wellington, Christchurch
€4,017 +VAT Book Now
Classroom / Virtual Classroom
03 July 2024
Auckland, Wellington, Christchurch
€4,017 +VAT Book Now
Classroom / Virtual Classroom
14 July 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
29 July 2024
Auckland, Wellington, Christchurch
€4,017 +VAT Book Now
Classroom / Virtual Classroom
01 August 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
05 August 2024
Auckland, Wellington, Christchurch
3 Days
Classroom / Virtual Classroom
22 August 2024
Auckland, Wellington, Christchurch
3 Days
Architecting with Google Compute Engine Training Course in New Zealand

New Zealand is an island country in the southwestern Pacific Ocean and it consists of two main islands and 700 smaller islands. Two main islands are the North Island and the South Island. The capital city of New Zealand is Wellington and the most popular city of the island country is Auckland. English, Māori and New Zealand Sign Language are the official languages of New Zealand. As of January 2022, the population of the country is about 5,138,120. 70% of the population are of European descent, 16.5% are indigenous Māori, 15.1% Asian and 8.1% non-Māori Pacific Islanders.

Since most of the country lies close to the coast, mild temperatures are observed year-round. January and February are the warmest months while July is the coldest month of the year. Fiordland, the first national park of New Zealand Tongariro

Unlock your potential in IT through our extensive selection of courses, which include programming, software development, data science, business skills, and cybersecurity. Our adept instructors will provide you with hands-on training and practical perspectives, all conveniently hosted at your desired location within New Zealand.
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