![]() Cloud Code utilizes its own instance of minikube inside VS Code. Let’s make sure minikube is running before we go any further so we can deploy our app to a cluster locally for development. Let’s see how much easier it is for us to develop a Kubernetes application using our new tools now.įirst thing, we can see we don’t have any clusters available in our Kubernetes Explorer. In the last video, we got Google Cloud Code installed and authenticated in Visual Studio Code. Knowledge of Python would also be beneficial for scripting with GCP, but it's not essential. Have Visual Studio Code, Python 3, and Git installed.Be familiar with IAM role management for GCP resources.Have Google Cloud SDK installed and initialized.To get the most out of this course, you should: Anyone preparing for the Google Professional Cloud DevOps Engineer certification.Solo developers new to working on a development team.Programmers interested in developing containerized applications on Google Cloud Platform. ![]() Push code from a local development environment and run on Google Cloud Platform using:.Add Google Cloud Code support to VS Code.Install a container-based local development environment.Understand the types of development environments and when to use them.We will examine how to install and use Google Cloud Code with Visual Studio Code. ![]() Writing applications using Kubernetes or Cloud Run can be further streamlined with Google Cloud Code, which provides direct IDE support for development on these platforms. Then we will explore how to push projects to Google Cloud Run and Google Kubernetes Engine. We will first walk through installing and using Docker and Kubernetes on your local machine. This course will focus on container-based application development environments, tools, and services. We will touch briefly on popular software methodologies and frameworks as they relate to choices in number and type of development environments. We will start the course by covering the different types of development environments and their purposes. We will also demonstrate how to easily push builds from our local machine to Google-hosted services. In this course, we will explore some of the tools available to build and manage development environments intended for deployment on Google Cloud Platform products. ![]()
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