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Using gpu with docker on kubernetes
Using gpu with docker on kubernetes





using gpu with docker on kubernetes using gpu with docker on kubernetes

Let us now discuss how to deploy this web service on Kubernetes. In this experiment, we will use a simple prime web service written in Spring Boot, which returns true or false for the number we provide (depending on whether the number is prime or not) as the query parameter. Step 3: Testing the Application and Creating the Jar file Now that we have done the setup, let’s move on to how to deploy microservices in Kubernetes. This will assign each node 1 vCPU and 3.75GB RAM.Ĭonfigure the kubectl command-line access by running the following command: In the default pool configuration, under Machine type select n1-standard-1. Give a name for your cluster, like "performance-testing." Select the us-central1-a as the zone. Choose the Standard cluster template or choose an appropriate template depending on your workload. In Navigation Menu > Kubernetes Engine > ClustersĬlick on Create Cluster. Let’s now create a cluster for our testing. All containerized applications run on top of a cluster. Give your project a name and click Create.Ī cluster is the foundation of Google Kubernetes Engine. In the Menu bar, click on Select-project. If this is your first time using GCP, this might sometimes say "My-First-Project." Select New-project from the pop-up window. If you do not have one or would like to perform the tests in a separate project, go ahead and create one. If you already have a project, you can choose to continue with it. Follow the URL generated, and log into your respective GCP account. Upon providing a name, it will prompt you to choose the account you would like to use to perform operations for this configuration. Select the number corresponding to Create a new configuration, and give it a name as you wish.

using gpu with docker on kubernetes

This will prompt you to pick a configuration. In your terminal, execute sudo gcloud init. You will have to provide your credit card details, but you will not be charged unless you enable billing. If this is your first time on GCP, you can get a $300 free trial. You may also enjoy: Microservice Architecture on Kubernetes Step 1: Setting Up a GCP accountįollow this link and login to your Google Cloud Platform account. Kubectl, the command line interface for running commands against Kubernetes Maven, a build automation tool provided by Apache

using gpu with docker on kubernetes

You may also enjoy Linode's Beginner's Guide to Kubernetes. In this article, we will discuss how to deploy a Spring Boot-based microservice with Google Cloud and undertake performance testing. All the major cloud providers (Google Cloud, AWS, Azure, etc.) have managed Kubernetes platforms. Kubernetes is an open-source container orchestrator built by Google that helps run, manage, and scale containerized applications on the cloud. 13 steps to Kubernetes performance testing







Using gpu with docker on kubernetes