Project Introduction
This project demonstrates the deployment of a Kubernetes cluster to explore the principles of distributed computing. Kubernetes, an open-source platform, automates the deployment, scaling, and management of containerized applications.
How Kubernetes Applies Distributed Computing
Kubernetes leverages the following principles of distributed computing to manage applications:
- Resource Management: The Kubernetes control plane centrally manages resources across the cluster, ensuring optimal distribution and utilization.
- Parallel Processing: Workloads are distributed across multiple nodes, enabling concurrent execution of tasks and enhancing performance.
- Fault Tolerance: Kubernetes ensures high availability by automatically rescheduling failed pods and maintaining the desired state of applications.
- Scalability: Kubernetes supports dynamic scaling of applications and cluster nodes, allowing seamless handling of varying loads.
- Load Balancing: Integrated load balancing mechanisms distribute incoming traffic across multiple pods, ensuring even workload distribution and preventing bottlenecks.
By deploying a sample application on a Kubernetes cluster, this project illustrates these key principles and showcases the benefits of using Kubernetes for managing distributed systems.