Kubernetes Web Scraping Project L08 : Persistent Volumes in Kubernetes- Reliable Data Storage

Title: "Kubernetes for Beginners: Deploying Web Scraping Workloads and Exploring Key Components"
GitHub Repo: github.com/Tec...
Udemy Course: www.udemy.com/...
Created by : Pooja Saini, Vijay Saini
Introduction:
In this tutorial, we will explore Kubernetes for beginners and learn how to deploy a workload in Kubernetes specifically for web scraping tasks. By leveraging various Kubernetes components, we will accomplish tasks such as reading configuration data from a ConfigMap, accessing a specified URL, collecting HTML data, and storing it in a persistent file. Additionally, we will ensure that the program refreshes variables without requiring a pod restart when configuration data changes. We will also discuss setting requests and limits for the pod to optimize resource allocation. Throughout this tutorial, we will gain familiarity with fundamental Kubernetes components and concepts, including Pods, ReplicaSets, Deployments, ConfigMaps, Secrets, pod troubleshooting, executing commands within containers, and utilizing different types of volumes such as emptyDir, hostPath, Persistent Volume, and Storage Class.
Revised Aim:
The aim of this tutorial is to provide beginners with hands-on experience in deploying web scraping workloads on Kubernetes. By utilizing various Kubernetes components and concepts, we will focus on achieving a dynamic and efficient scraping process while ensuring persistent storage and seamless configuration updates.
Outline:
Introduction to Kubernetes for Beginners
Setting up the Environment and Deploying a Web Scraping Workload
Utilizing Kubernetes Components:
a. Pods, ReplicaSets, and Deployments
b. ConfigMaps and Secrets
c. Troubleshooting Pods
d. Executing Commands within Containers
e. Understanding Different Volume Types: emptyDir, hostPath, Persistent Volume, Storage Class
Optimizing Resource Allocation: Setting Requests and Limits
Conclusion and Further Learning Opportunities