Learn Google Cloud Platform’s fundamental tools and services. Come in with little or no cloud knowledge and come out with practical experience. From writing Cloud Shell commands and deploying a VM, to running applications on Kubernetes Engine with load balancing.
This lab will demonstrate how to use the Regional Load Balancer GCP Terraform modules for setting up various load balancers.
In this lab, you'll work on further practical elements of performance testing, toward improving network server performance by using load balancing and content caching.
This lab introduces the concept of Elastic Load Balancing (ELB). In this lab you will use ELB to load balance a set of web servers in an Availability Zone. You will launch a pair of Amazon EC2 instances, bootstrap them to install web servers and content, and then access the instances independently using Amazon EC2 DNS records. Next, you will set up ELB, add your instances to the ELB, and then access the ELB DNS record to watch your requests load balance between servers. Finally, you will look at ELB metrics in CloudWatch. To successfully complete this lab, you should be familiar with the AWS Management Console.
This lab provides you with an introduction to Elastic Load Balancer. It covers creating and testing a Network Elastic Load Balancer. When the lab is launched you are provided with two web servers in two different Availability Zones. In the lab you will create a Network Elastic Load Balancer and use the two Web Servers as targets. You will then test the functionality of the load balancer in different scenarios. For the lab to function as written, please DO NOT change the auto assigned region.
This lab helps you learn how to use the basic features of AWS OpsWorks, an application management service offered by AWS, to deploy a Ruby photo sharing application. This lab will show you how to use layers (instance blueprints that define the resources and software configuration for common technologies such as Ruby) to create new Amazon EC2 instances; deploy and update applications from common source repositories; use lifecycle events to automate tasks; scale the application using Elastic Load Balancing and time or load-based instance scaling; monitor instance metrics; and manage user permissions.
In this lab you will learn how to set up an HTTP global load balancer and how load balancing can help scale your applications on Google Compute Engine.
In this quest, you’ll learn to work with services related to Compute and Networking, including Amazon EC2, Amazon Elastic Load Balancing, and Amazon Virtual Private Cloud (VPC).
In this advanced-level quest, you will learn how you to harness serious GCP power and infrastructure. The hands-on labs will give you use cases, and you will be tasked with implementing scaling practices utilized by Google’s very own Solutions Architecture team. From developing enterprise grade load balancing and autoscaling, to building continuous delivery pipelines, Google Cloud Solutions I: Scaling your Infrastructure will teach you best practices for taking your GCP projects to the next level.
This lab demonstrates how to create an HTTP(S) load balanced that forwards traffic to instances in two different regions.