DevOps and Development

Autoscaling of pods in Kubernetes helps control resource utilization and ensures that the adequate number of pods are running at any given time. This article will explain what horizontal pod autoscaling (HPA) is, and provide steps to configure it in your cluster.

Jenkins helps developers and organizations automate coding and deployment. This tutorial shows how to install Jenkins on Mac.

Kind is an open-source tool for running a Kubernetes cluster locally, using Docker containers as cluster nodes. This tutorial will show you how to install Kind and provide some useful tips for managing your Kind Kubernetes cluster.

In Kubernetes, each job instance runs either simultaneously with others or immediately after the previous one completes. The CronJob controller is a Kubernetes object that enables job scheduling. This tutorial will teach you how to deploy and use Kubernetes CronJobs.

Kubernetes namespaces help organize and distribute cluster resources between different users, teams, or customers. This tutorial shows how to create and manage Kubernetes namespaces.

When managing a Kubernetes cluster, there are certain tasks that require pods to terminate in order to be successfully completed. To perform those tasks, administrators use a special workload resource called a job. This tutorial will show you how to create, manage, and delete Kubernetes jobs.

Kubernetes automates app deployment and scaling and significantly facilitates resource management. This tutorial shows how to run Kubernetes on Windows.

Calico is a third-party solution developed to provide flexibility and make Kubernetes network connectivity simpler. It is available on all the major cloud platforms and can also be installed on bare metal. This tutorial will show you how to install Calico on a Kubernetes cluster.

Up your automation game with the expect command and automate responses to scripts and programs. Learn how to use Expect through hands on examples in this guide.

This article teaches you about Spark's primary data structure: Resilient Distributed Datasets.