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This comprehensive course on Docker is designed to equip students with the knowledge and skills necessary to create, manage, and deploy containerized applications effectively. The course begins with an introduction to Docker, focusing on its importance in modern software development, particularly in continuous integration and continuous deployment (CI/CD) pipelines, Jenkins tasks, and Kubernetes clusters. Students will learn how to create lightweight containers th...
This comprehensive course on Docker is designed to equip students with the knowledge and skills necessary to create, manage, and deploy containerized applications effectively. The course begins with an introduction to Docker, focusing on its importance in modern software development, particularly in continuous integration and continuous deployment (CI/CD) pipelines, Jenkins tasks, and Kubernetes clusters. Students will learn how to create lightweight containers that encapsulate their applications in an isolated environment, allowing for consistent execution across different platforms. This isolation ensures that applications run seamlessly regardless of the underlying infrastructure, making Docker a critical tool for developers.
The course delves into the practical aspects of Docker by guiding students through the process of creating a Docker image and running a container. Starting with setting up a Dockerfile, participants will learn how to define the environment and dependencies required for their application. Through hands-on examples using Node.js and Express, students will build a simple web application and containerize it using Docker. The course also covers essential commands such as docker build and docker run, demonstrating how to expose ports, install dependencies, and execute applications within containers. Additionally, students will explore how to scale their applications by running multiple containers and load-balancing them using tools like Nginx or HAProxy. By the end of this section, learners will have a solid understanding of how to leverage Docker for deploying stateless, self-contained applications.
Beyond the basics, the course introduces advanced topics such as microservices architecture and orchestration. Students will gain insights into how Docker facilitates the development of distributed systems by enabling the creation of modular, scalable services. The course includes practical demonstrations of running multiple containers simultaneously, simulating real-world scenarios where applications are deployed across various environments. Furthermore, learners will be introduced to the integration of Docker with Kafka, a distributed streaming platform, to build robust data processing pipelines. By combining Docker with Kafka, students will understand how to handle high-throughput, fault-tolerant systems that are essential for modern applications. Overall, this course provides a thorough grounding in Docker, empowering students to harness its full potential in both development and production environments.
Understand the process of creating a lightweight Node.js Docker container Learn how to build a Docker image using a Dockerfile and run a container from it Apply the concept of port mapping to expose a container's internal port to the host system Discover how to manage dependencies within a Docker container for a Node.js application Master the steps to scale multiple Docker containers running the same application Explore the integration of Kafka with Docker for building distributed data processing systems Understand the differences between message queues and publish-subscribe models in Kafka
Understand the process of creating a lightweight Node.js Docker container Learn how to build a Docker image using a Dockerfile and run a container from it Apply the concept of port mapping to expose a container's internal port to the host system Discover how to manage dependencies within a Docker container for a Node.js application Master the steps to scale multiple Docker containers running the same application Explore the integration of Kafka with Docker for building distributed data processing systems Understand the differences between message queues and publish-subscribe models in Kafka
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Understand the process of creating a lightweight Node.js Docker container Learn how to build a Docker image using a Dockerfile and run a container from it Apply the concept of port mapping to expose a container's internal port to the host system Discover how to manage dependencies within a Docker container for a Node.js application Master the steps to scale multiple Docker containers running the same application Explore the integration of Kafka with Docker for building distributed data processing systems Understand the differences between message queues and publish-subscribe models in Kafka
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