Tag: deployment

Big Data on Kubernetes: Streamline Your Big Data Workflows with Ease (Hadoop)

Big Data on Kubernetes: Streamline Your Big Data Workflows with Ease (Hadoop) Kubernetes provides a powerful platform for deploying and managing big data applications. By using Kubernetes to manage your big data workloads, you can take advantage of Kubernetes’ scalability, fault tolerance, and resource management capabilities. In this tutorial, we’ll explore how to deploy big data applications on Kubernetes. Prerequisites Before you begin, you will need the following: A Kubernetes cluster A basic understanding of Kubernetes concepts A big data…

Deploying Models as RESTful APIs using Kubeflow Pipelines and KFServing: A Step-by-Step Tutorial

Deploying Models as RESTful APIs using Kubeflow Pipelines and KFServing: A Step-by-Step Tutorial Deploying machine learning models as RESTful APIs allows for easy integration with other applications and services. Kubeflow Pipelines provides a platform for building and deploying machine learning pipelines, while KFServing is an open-source project that simplifies the deployment of machine learning models as serverless inference services on Kubernetes. In this tutorial, we will explore how to deploy models as RESTful APIs using Kubeflow Pipelines and KFServing. Prerequisites…