Online Course
Elastic Cloud Infrastructure: Scaling and Automation
Google Cloud and Google via Coursera
Found in
DevOps
- Provider Coursera
- Cost $50
- Session Finished
- Language English
- Certificate Paid Certificate Available
- Effort 7-9 hours a week
- Duration 2 weeks long
- Learn more about MOOCs
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Overview
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This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.
Prerequisites:
To get the most out of this course, participants should have:
• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience
• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience
• Completed Essential Cloud Infrastructure: Core Services 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
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
COMPLETION CHALLENGE
Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.
Prerequisites:
To get the most out of this course, participants should have:
• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience
• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience
• Completed Essential Cloud Infrastructure: Core Services 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
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
COMPLETION CHALLENGE
Complete any GCP specialization from November 5 - November 30, 2019 for an opportunity to receive a GCP t-shirt (while supplies last). Check Discussion Forums for details.
Syllabus
Introduction
-In this module we introduce the Architecting with Google Compute Engine specialization. This specialization is defined for cloud solution architects, DevOps engineers, and anyone who's interested in using GCP, to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Compute Engine.
Module 1: Interconnecting Networks
-In this module, we’ll focus on GCP’s hybrid connectivity products, which are Cloud VPN, Cloud Interconnect, and Peering. We’ll also look at options for sharing VPC networks within GCP.
Module 2: Load Balancing and Autoscaling
-In this module, we will cover the different types of load balancers that are available in GCP. We will also go over managed instance groups and their autoscaling configurations, which can be used by these load balancing configurations.
Module 3: Infrastructure Automation
-In this module, we cover how to use Deployment Manager to automate the deployment of infrastructure and how to use GCP Marketplace to launch infrastructure solutions. You will use Deployment Manager or Terraform to deploy a VPC network, a firewall rule, and VM instances in the lab of this module.
Module 4: Managed Services
-In this module, we give you an overview of BigQuery, Cloud Dataflow, Cloud Dataprep by Trifacta, and Cloud Dataproc. Now all of these services are for data analytics purposes, and since that’s not the focus of this course series, there won’t be any labs in this module. Instead, we’ll have a quick demo to illustrate how easy it is to use a managed service.
-In this module we introduce the Architecting with Google Compute Engine specialization. This specialization is defined for cloud solution architects, DevOps engineers, and anyone who's interested in using GCP, to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Compute Engine.
Module 1: Interconnecting Networks
-In this module, we’ll focus on GCP’s hybrid connectivity products, which are Cloud VPN, Cloud Interconnect, and Peering. We’ll also look at options for sharing VPC networks within GCP.
Module 2: Load Balancing and Autoscaling
-In this module, we will cover the different types of load balancers that are available in GCP. We will also go over managed instance groups and their autoscaling configurations, which can be used by these load balancing configurations.
Module 3: Infrastructure Automation
-In this module, we cover how to use Deployment Manager to automate the deployment of infrastructure and how to use GCP Marketplace to launch infrastructure solutions. You will use Deployment Manager or Terraform to deploy a VPC network, a firewall rule, and VM instances in the lab of this module.
Module 4: Managed Services
-In this module, we give you an overview of BigQuery, Cloud Dataflow, Cloud Dataprep by Trifacta, and Cloud Dataproc. Now all of these services are for data analytics purposes, and since that’s not the focus of this course series, there won’t be any labs in this module. Instead, we’ll have a quick demo to illustrate how easy it is to use a managed service.
Taught by
Google Cloud Training
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