Fundamental 9 passaggi 1 giorno 86 crediti
The hands-on labs in this Quest are structured to give experienced app developers hands-on practice with the state-of-the-art developing applications in Google Cloud. The topics align with the Google Cloud Certified Professional Cloud Developer Certification. These labs follow the sequence of activities needed to create and deploy an app in GCP from beginning to end. Labs in the sequence with application code are presented in two language flavors, Java and Python. Be aware that while practice with these labs will increase your skills and abilities, we recommend that you also review the exam guide and other available preparation resources.
Prerequisiti:
These labs assume basic familiarity with GCP Services, particularly those in computing and networking. It is recommended that the student have earned a Badge by completing the hands-on labs in the GCP Essentials Quests before beginning. Additional experience from the Deploying Applications Quest will be beneficial.Quest Outline
App Dev: Setting up a Development Environment - Python
In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development.
App Dev: Setting up a Development Environment - Java
In this lab, you will provision a Google Compute Engine virtual machine and install software libraries for software development.
App Dev: Storing Application Data in Cloud Datastore - Python
In questo lab esaminerai l'applicazione del case study: un quiz online. I dati dell'applicazione Quiz verranno archiviati in Cloud Datastore.
App Dev - Storing Application Data in Cloud Datastore - Java
In this lab, you will review the case study application, an online Quiz. You will store application data for the Quiz application in Cloud Datastore.
App Dev: Storing Image and Video Files in Cloud Storage - Python
In this lab, you add images and video to an application. You store files as objects in a Cloud Storage bucket.
App Dev-Storing Image and Video Files in Cloud Storage-Java
In this lab, you will enhance the online Quiz application to work with images. You will store files as objects in a Cloud Storage bucket.
App Dev: Adding User Authentication to your Application - Python
In this lab, you will enhance the online Quiz application to use Firebase authentication.
App Dev-Adding User Authentication to your Application-Java
In this lab, you will enhance the online Quiz application to use Firebase authentication.
App Dev: Developing a Backend Service - Python
In this lab, you will enhance the online Quiz application by developing a backend service to process user feedback and save scores.
App Dev: Developing a Backend Service - Java
In this lab, you enhance the online Quiz application by developing a backend service to process user feedback and save scores.
App Dev: Deploying the Application into Kubernetes Engine - Python
In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services.
App Dev - Deploying the Application into Kubernetes Engine - Java
In this lab, you will deploy the quiz application into Kubernetes Engine, leveraging Google Cloud Platform resources including Container Builder and Container Registry, and Kubernetes resources including Deployments, Pods, and Services.
App Dev - Deploying the Application into App Engine Flexible Environment - Java
In this lab, you will deploy the quiz application into App Engine flexible environment, leveraging App Engine features including instances, versions, and traffic splitting.
Cloud Monitoring: Qwik Start
Questo lab illustra come monitorare l'istanza di una macchina virtuale (VM) Google Compute Engine con Cloud Monitoring. Guarda i brevi video Monitor Health of All Your Cloud Apps with Google Cloud monitoring e Monitor a VM Instance with Cloud monitoring, GCP Essentials.
Cloud Profiler: Qwik Start
In this lab you'll learn how to use Cloud Profiler on GCP by downloading a sample Go program then exploring the captured data in the Profiler console.
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