Advanced 9 Steps 1 day 57 Credits
If you’re looking to take your Google Cloud application to the next level, look no further than Deployment Manager. By automating the creation of GCP resources and services, Deployment Manager lets you focus on developing rather than maintaining. In this advanced-level quest, you will get hands on practice with Deployment Manager by building custom templates, automating Python and Jinja application instances, and scaling custom networks.
Prerequisites:This Quest requires proficiency with GCP computing services and hands-on experience with network configuration and application deployment. It is recommended that the student have at least earned a Badge by completing the hands-on labs in the Cloud Architecture and Stackdriver Quests before beginning. Additional experience with the labs in the Deploying Applications Quest will be also useful.
This hands-on lab shows you how use Deployment Manager to create a simple configuration file, and deploy that configuration to create a running environment in the Google Cloud. Watch the short video Easily Manage Resources with Google Cloud Deployment Manager.
This lab creates a basic Deployment Manager (DM) configuration for deploying resources in Google Cloud Platform.
In this hands-on lab you’ll access a repository which contains sample deployment manager templates, and practice launching a CloudSQL instance with an example template. The template you’ll practice with launches one master database instance along with a read replica.
You'll create a YAML Deployment Manager template from scratch, configure the properties and identify and resolve YAML syntax issues in a template.
In this lab you will develop an advanced Deployment Manager template using JINJA and YAML. You will learn how to install and run a Python application on an instance through Deployment Manager.
In this lab you will package and deploy a more advanced load balancing and autoscaling version of the Echo service. The infrastructure that Deployment Manager templates will create places Echo
In this lab you will launch a service using Deployment Manager, and monitor it using Cloud Monitoring. You will set up basic black box monitoring with Cloud Monitoring Dashboard and establish uptime check alert notification to trigger incident response.
This lab shows you how to build a logbook application using Node.js as the frontend and MySQL on the backend. You'll also create a network load balancer and an autoscaler to watch the frontend instances and scale when necessary.