Disclaimer
I just arranged these qwiklabs and made it easier to access. This is not in anyway associate with Pluralsight or Qwiklabs
A curated list of qwiklabs found on Pluralsight's Architecting with Google Cloud Platform: Infrastructure Path.
Google Cloud Platform Fundamentals: Core Infrastructure
This section introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, and Google Container Engine.
- ✅ Google Cloud Fundamentals: Getting Started with Cloud Marketplace
- ✅ Google Cloud Fundamentals: Getting Started with Compute Engine
- ✅ Google Cloud Fundamentals: Getting Started with Cloud Storage and Cloud SQL
- ✅ Google Cloud Fundamentals: Getting Started with GKE
- ✅ Google Cloud Fundamentals: Getting Started with App Engine
- ✅
GCP Fundamentals: Getting Started with Deployment Manager and Stackdriver - ✅ Google Cloud Fundamentals: Getting Started with Deployment Manager and Cloud Monitoring
- ✅ GCP Fundamentals: Getting Started with BigQuery
Essential Cloud Infrastructure: Foundation
In this section You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules. It also covers deploying practical solutions including access management, quotas and billing, and resource monitoring.
- ✅ Console and Cloud Shell
- ✅ Infrastructure Preview
- ✅ VPC Networking
- ✅
Bastion Host v1.5 - ✅ Implement Private Google Access and Cloud NAT
- ✅ Creating Virtual Machines
- ✅ Working with Virtual Machines
Essential Cloud Infrastructure: Core Services
In this section You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules. It also covers deploying practical solutions including access management, quotas and billing, and resource monitoring.
- ✅ Cloud IAM
- ✅ Cloud Storage
- ✅
Cloud SQL v1.5 - ✅ Implementing Cloud SQL
- ✅ Examining Billing data with BigQuery
- ✅
Cloud Datastore v1.5 - ✅ Resource Monitoring
- ✅ Error Reporting and Debugging
Elastic Cloud Infrastructure: Scaling and Automation
This section covers deploying practical solutions including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services. Learners explore services provided to applications built on GCP that enhance their scalability and maintainability. They work with services like Google Cloud Pub/Sub and Google Cloud Functions to make applications more efficient. They also explore the use of containers on GCP.
- ✅ Virtual Private Networks (VPN)
- ✅
Virtual Machine Automation and Load Balancing v1.5 - ✅ Configuring an HTTP Load Balancer with Autoscaling
- ✅
Autoscaling v1.5 - ✅ Configuring an Internal Load Balancer
- ✅
Google Cloud Platform API Infrastructure Automation v1.5 - ✅ Automating the Deployment of Infrastructure Using Deployment Manager
- ✅
Deployment Manager v1.5 - ✅ Automating the Deployment of Infrastructure Using Terraform
Elastic Cloud Infrastructure: Containers and Services
This section covers deploying practical solutions including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services. Learners explore services provided to applications built on GCP that enhance their scalability and maintainability. They work with services like Google Cloud Pub/Sub and Google Cloud Functions to make applications more efficient. They also explore the use of containers on GCP.
- ✅ GCP_Course05_Lab01 Kubernetes Load Balancing v1.5
Getting Started with Google Kubernetes Engine
You'll learn to containerize workloads in Docker containers, deploy them to Kubernetes clusters provided by Google Kubernetes Engine, and scale those workloads to handle increased traffic.
- Introduction to Containers and Docker v1.6
- Kubernetes Basics v1.6
- Deploying to Kubernetes v1.6
- Continuous Deployment with Jenkins v1.6
- Continuous Deployment with Spinnaker v1.6
Inspired by @jochenkirstaetter read his blog here