Elastic Google Cloud Infrastructure: Scaling and Automation
- 4.7
Course Summary
This course introduces learners to the Google Cloud Platform (GCP) Infrastructure, Scaling and Automation tools. Students will learn about the key infrastructure components of the GCP platform, how to deploy scalable and highly available applications, and how to automate and manage infrastructure using Google Cloud tools.Key Learning Points
- Learn about the key infrastructure components of GCP
- Deploy scalable and highly available applications
- Automate and manage infrastructure using Google Cloud tools
Related Topics for further study
Learning Outcomes
- Understand the key infrastructure components of GCP
- Deploy scalable and highly available applications on GCP
- Automate and manage infrastructure using Google Cloud tools
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of Cloud Computing concepts
- Familiarity with the Linux command line
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
- Video Lectures
Similar Courses
- GCP Fundamentals for Beginners
- Architecting with GCP: Infrastructure
Related Education Paths
- Google Cloud Platform Fundamentals: Core Infrastructure
- Architecting with Google Cloud Platform: Infrastructure
- Google Cloud Platform Big Data and Machine Learning Fundamentals
- Google Cloud Platform for AWS Professionals
Notable People in This Field
- Amit Kumar
- Fahad Saleh
Related Books
Description
This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud. 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.
Knowledge
- Examine the different options to interconnect networks to enable you to connect your infrastructure to Google Cloud.
- Explore Google Cloud’s load balancing and autoscaling services.
- Learn about infrastructure automation services so that you can automate the deployment of Google Cloud infrastructure services.
- Review managed services in Google Cloud.
Outline
- Introduction
- Course Introduction
- Module 1: Interconnecting Networks
- Module Overview
- Cloud VPN
- Lab Intro: Virtual Private Networks (VPN)
- Getting Started with Google Cloud and Qwiklabs
- Lab Review: Virtual Private Networks (VPN)
- Cloud Interconnect and Peering
- Cloud Interconnect
- Peering
- Choosing a connection
- Shared VPC and VPC Peering
- Module Review
- HA VPN
- Interconnecting Networks
- Module 2: Load Balancing and Autoscaling
- Module Overview
- Managed instance groups
- Autoscaling and health checks
- Overview of HTTP(S) load balancing
- Example: HTTP load balancer
- HTTP(S) load balancing
- Lab Intro: Configuring an HTTP Load Balancer with Autoscaling
- Lab Review: Configuring an HTTP Load Balancer with Autoscaling
- SSL proxy load balancing
- TCP proxy load balancing
- Network load balancing
- Internal load balancing
- Lab Intro: Configuring an Internal Load Balancer
- Lab Review: Configuring an Internal Load Balancer
- Choosing a load balancer
- Module Review
- Load Balancing and Autoscaling
- Module 3: Infrastructure Automation
- Module Overview
- Deployment Manager
- Lab Intro: Automating the Infrastructure of Networks Using Deployment Manager or Terraform
- Lab Review: Automating the Infrastructure of networks using Deployment Manager
- Lab Review: Automating the Infrastructure of networks using Terraform
- Google Cloud Marketplace
- Demo: Launch on Google Cloud Marketplace
- Module Review
- Infrastructure Automation
- Module 4: Managed Services
- Module Overview
- BigQuery
- Cloud Dataflow
- Cloud Dataprep
- Cloud Dataproc
- Demo: Cloud Dataproc
- Module Review
- Course Series Review
- What’s Next? Get Certified
- Managed Services
Summary of User Reviews
Discover how to scale and automate infrastructure using Google Cloud Platform (GCP). This course has received positive reviews from many users who found it to be informative and comprehensive, covering a wide range of topics related to GCP infrastructure scaling and automation.Key Aspect Users Liked About This Course
One key aspect that many users thought was good is the course's focus on practical applications, with hands-on labs and real-world examples that help learners apply the concepts in a meaningful way.Pros from User Reviews
- Comprehensive coverage of GCP infrastructure scaling and automation
- Hands-on labs and real-world examples for practical application
- Engaging and knowledgeable instructors
- Well-structured and easy to follow content
- Good value for the price
Cons from User Reviews
- Some users found the pace of the course to be too slow
- A few users felt that the course could have gone into more depth on certain topics
- A couple of users experienced technical difficulties with the course platform
- Not all users found the assessments to be challenging enough
- A few users felt that the course could benefit from more interactive elements