Best Docker and Kubernetes Training - Docker Online Training.pptx

venkatakrishnavisual 19 views 12 slides Oct 09, 2024
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About This Presentation

Join Visualpath for expert-led Docker and Kubernetes Training with real-time instructors and hands-on projects. Our Kubernetes Online Training Course is accessible worldwide, including the USA, UK, Canada, Dubai, and Australia. Gain practical skills and get interview-ready. Enhance your career in te...


Slide Content

What is Docker and Kubernetes Training Advantages and Disadvantages

Introduction to Docker & Kubernetes Docker : A platform to create, deploy, and manage containers. Kubernetes : A container orchestration tool that automates deployment, scaling, and management of containerized applications. Importance : Why Docker and Kubernetes are essential for modern software development.

How Docker Works Docker Containers : Lightweight, stand-alone, and executable packages of software. Benefits : Isolation of applications Consistent environment across systems Faster delivery of software Key Components : Docker file, Docker Hub, Images, Containers.

How Kubernetes Works Kubernetes Overview : Automates the deployment and scaling of containers across clusters. Core Components : Pods: Smallest unit in Kubernetes. Nodes: Machines that run the containers. Clusters: Group of nodes. Features : Load balancing, auto-scaling, and self-healing.

Advantages of Docker

Portability : Write once, run anywhere. Resource Efficiency : Requires fewer system resources compared to traditional VMs. Scalability : Easy to scale up/down. Faster CI/CD : Streamlines the build, test, and deployment process.

Advantages of Kubernetes

Scalability : Automatically scales containers up or down based on demand. Self-Healing : Automatically restarts failed containers and reschedules them. Load Balancing : Efficient traffic distribution across containers. Declarative Management: Automates repetitive tasks through declarative configuration.

Disadvantages of Docker & Kubernetes

Docker Security Concerns : Containers share the host OS, leading to potential vulnerabilities. Complex Networking : Can be difficult to manage in large systems. Overhead : Managing large-scale Docker deployments without orchestration is challenging. Kubernetes Steep Learning Curve : Complex to set up and maintain. Overhead : Resource-intensive compared to simpler container management systems. Management Complexity : Requires a dedicated team for effective management.

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