Advanced Docker Concepts and Container Orchestration Course Overview

To ensure that you are well-prepared for the Advanced Docker Concepts and Container Orchestration course, the following prerequisites are recommended:

• Basic understanding of Linux command line operations, as Docker is commonly used in a Linux environment.
• Fundamental knowledge of software development principles and processes, which will help in comprehending the application lifecycle within containers.
• Familiarity with the concepts of virtualization and microservices architecture, as Docker is a containerization platform that operates within these paradigms.
• Experience with using package managers (like apt, yum) and version control systems (such as Git) can be beneficial, as Docker often interacts with software dependencies and source code repositories.
• An introductory level of networking knowledge, including IP addressing, DNS, and port usage, is beneficial for managing container networking.
• Some prior exposure to basic system administration tasks, including managing services, editing configuration files, and monitoring system resources, will be helpful.

Please note that while these prerequisites are recommended, they are not mandatory. The course is designed to guide you through the concepts and practical applications of Docker from the ground up. However, having a foundational knowledge in these areas will enhance your learning experience and help you grasp the more advanced concepts presented in the course more effectively.

Target Audience for Advanced Docker Concepts and Container Orchestration

1. Koenig Solutions' Advanced Docker Concepts and Container Orchestration course is designed for IT professionals seeking expertise in containerization technologies.

   
   

2. Target audience for the course includes:

   
   

• DevOps Engineers
• Software Developers
• System Administrators
• Cloud Infrastructure Engineers
• IT Professionals with a focus on automation and deployment
• Technical Architects
• QA Engineers involved in environment setup and deployment processes
• Release Managers
• Network Professionals looking to understand container networking
• Security Professionals interested in application/container security
• Professionals working with microservices architectures
• Product Managers who need to understand Docker and Kubernetes workflows
• Technical Project Managers overseeing DevOps teams
• Technical Support Engineers
• Application Developers looking to containerize and scale applications
• Site Reliability Engineers (SREs)

Learning Objectives - What you will Learn in this Advanced Docker Concepts and Container Orchestration?

Introduction to Course Learning Outcomes:

This course provides an in-depth understanding of Docker and Kubernetes, focusing on advanced containerization concepts, orchestration, security, and networking to manage complex, distributed applications effectively.

Learning Objectives and Outcomes:

• Comprehend Docker's architecture and components: Gain knowledge of Docker's structure, including the client, host, and registry, and how they interact within the ecosystem.
• Master Docker Client operations: Learn to run and manage containers, execute commands within them, and understand their lifecycle.
• Create and manage Docker images and registries: Understand image creation using Docker Commit and Dockerfiles, manage image tagging, and set up private registries.
• Deep dive into container internals: Explore cgroups, namespaces, and how to set resource limits on containers to ensure efficient resource utilization.
• Gain proficiency in storage and networking: Manage data persistence using volumes, bind mounts, and tmpfs, along with configuring and managing Docker network bridges.
• Utilize Docker Compose effectively: Create Docker Compose files using YAML to deploy and manage multi-container applications, and build images within Docker Compose.
• Implement Docker Swarm for orchestration: Configure Docker Swarm for container orchestration, manage services, updates, and scale applications while ensuring high availability.
• Understand Kubernetes architecture: Grasp the core concepts of Kubernetes' cluster architecture including the roles of master/nodes and essential components like etcd and controllers.
• Install and configure Kubernetes clusters: Design and install Kubernetes, configure network solutions, and analyze test results for a robust deployment.
• Operationalize Kubernetes features: Manage pods, services, and controllers using kubectl, handle resource quotas, and apply YAML for Kubernetes object definitions.
• Navigate Kubernetes networking and security: Configure Kubernetes networking, understand CNI, handle DNS settings, manage ingress rules, and implement security measures like RBAC and network policies.