Deploying and Implementing Networking Resources
Deploying and Implementing Compute Engine Resources
The course is part of these learning paths
This course has been designed to teach you how to deploy network and compute resources on Google Cloud Platform. The content in this course will help prepare you for the Associate Cloud Engineer exam.
- To understand key networking and compute resources on Google Cloud Platform
- Be able to explain different networking and compute features commonly used on GCP
- Be able to deploy key networking and compute resources on Google Cloud Platform
- Those who are preparing for the Associate Cloud Engineer exam
- Those looking to learn more about GCP networking and compute features
To get the most from this course then you should have some exposure to GCP resources, such as VPCs and Compute Instances. However, this is not essential.
Welcome to deploying networking and compute resources on Google Cloud Platform. My name is Thomas Mitchell and I'll be taking you through this course.
I'm a content author at Cloud Academy and I have over 25 years of IT experience, several of those with cloud technologies. If you have any questions, feel free to connect with me on LinkedIn or send an email to firstname.lastname@example.org.
This course is intended for Google Cloud Engineers who deploy applications, monitor operations, and manage enterprise solutions. It's also intended for those interested in obtaining the Associate Cloud Engineer certification.
To get the most from this course, you should have a basic understanding of the Google Cloud Platform, its compute instance offerings, and its network offerings.
We'll kick off this course by diving into the deployment and implementation of network resources such as VPCs and subnets. You'll learn how to create a VPC and how to define subnets contained within the VPC. You'll also learn how to create ingress and egress firewall rules for a VPC.
Later on, you'll learn how to create a VPN connection between a Google VPC and an external network. You'll also learn how to distribute network traffic to an application by using a load balancer.
As we work through the course, you'll then learn how to deploy and implement Compute Engine resources via the Cloud Console and via gcloud. After deploying a compute instance, you'll learn how to create and assign disks to an instance and how to assign an availability policy to a compute instance as well. As we enter the home stretch of this course, you'll learn how to create an autoscaled managed instance group using an instance template, and how to generate and upload custom SSH keys for compute instances.
Rounding out the course, you'll learn how to configure a VM for Stackdriver monitoring and logging and how to install the Stackdriver Agent. You'll also learn how to assess compute quotas and how to request quota increases. By the time you complete this course, you'll have a full understanding of how to deploy networking and compute resources on Google Cloud Platform.
We'd love to get your feedback on this course so please give it a rating when you're finished. So if you're ready to learn how to deploy networking and compute resources on Google Cloud Platform, let's get started.
About the Author
Tom is a 25+ year veteran of the IT industry, having worked in environments as large as 40k seats and as small as 50 seats. Throughout the course of a long an interesting career, he has built an in-depth skillset that spans numerous IT disciplines. Tom has designed and architected small, large, and global IT solutions.
In addition to the Cloud Platform and Infrastructure MCSE certification, Tom also carries several other Microsoft certifications. His ability to see things from a strategic perspective allows Tom to architect solutions that closely align with business needs.
In his spare time, Tom enjoys camping, fishing, and playing poker.