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Updated in [March 06th, 2023]

This course provides an overview of the installation and configuration of Docker and Kubernetes, as well as the initial configuration of Arista, Cisco Nexus 9000, and F5 BIG-IP. It is designed to help students gain a better understanding of the technologies and how they can be used to build a secure network.

The course begins with an introduction to Docker and Kubernetes, including an overview of the architecture and components. Students will then learn how to install and configure Docker and Kubernetes, as well as how to use the command line interface to manage the environment.

Next, students will learn how to configure Arista, Cisco Nexus 9000, and F5 BIG-IP. This includes an overview of the hardware and software components, as well as how to configure the devices for secure network access. Students will also learn how to use the command line interface to manage the devices.

Finally, students will learn how to use the Docker and Kubernetes environment to build a secure network. This includes an overview of the network topology, as well as how to configure the devices for secure access. Students will also learn how to use the command line interface to manage the environment.

At the end of the course, students will have a better understanding of the technologies and how they can be used to build a secure network. They will also have the skills and knowledge to install and configure Docker and Kubernetes, as well as the initial configuration of Arista, Cisco Nexus 9000, and F5 BIG-IP.

[Applications]
After completing this course, students should be able to apply the knowledge they have gained to build a secure Docker and Kubernetes network. They should be able to configure Arista, Cisco Nexus 9000, and F5 BIG-IP devices to secure their network. Additionally, they should be able to troubleshoot any issues that may arise during the configuration process. Finally, they should be able to use the tools and techniques learned in the course to monitor and maintain their network.

[Career Paths]
1. DevOps Engineer: DevOps Engineers are responsible for managing the development, testing, and deployment of applications and services. They are also responsible for automating processes, monitoring system performance, and ensuring security. As the demand for cloud-based services continues to grow, DevOps Engineers will be in high demand to ensure that applications and services are deployed quickly and securely.

2. Cloud Security Engineer: Cloud Security Engineers are responsible for designing, implementing, and managing security solutions for cloud-based applications and services. They must be knowledgeable in the latest security technologies and trends, and be able to identify and mitigate potential security risks. As cloud computing continues to grow, the demand for Cloud Security Engineers will also increase.

3. Network Engineer: Network Engineers are responsible for designing, implementing, and managing networks. They must be knowledgeable in the latest networking technologies and trends, and be able to identify and mitigate potential network risks. As the demand for cloud-based services continues to grow, Network Engineers will be in high demand to ensure that networks are secure and reliable.

4. System Administrator: System Administrators are responsible for managing and maintaining computer systems. They must be knowledgeable in the latest system technologies and trends, and be able to identify and mitigate potential system risks. As the demand for cloud-based services continues to grow, System Administrators will be in high demand to ensure that systems are secure and reliable.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. Additionally, students will learn about the latest technologies and trends in the field, such as cloud computing, artificial intelligence, and machine learning.

2. Bachelor of Science in Cybersecurity: This degree path focuses on the security of computer systems and networks. Students will learn about the principles of security, cryptography, and network security, as well as the latest technologies and trends in the field, such as cloud security, blockchain, and biometrics.

3. Master of Science in Cloud Computing: This degree path provides students with an in-depth understanding of cloud computing technologies and architectures, such as virtualization, containerization, and distributed computing. Additionally, students will learn about the latest trends in the field, such as serverless computing, edge computing, and artificial intelligence.

4. Master of Science in Data Science: This degree path provides students with an in-depth understanding of data science fundamentals, such as data mining, machine learning, and data visualization. Additionally, students will learn about the latest technologies and trends in the field, such as artificial intelligence, natural language processing, and deep learning.

Course Syllabus

Lab Resources

Docker, Python, Security Network Topology

Kubernetes Network Topology

Management Network Topology

Lab Details