Kubernetes Essentials Course Overview

Kubernetes Essentials Course Overview

This 1-day hands-on course provides a fast-paced introduction to Kubernetes, covering core concepts, resource management, application deployment, and storage. Participants will learn about container orchestration, Kubernetes architecture, managing pods, labels, replica sets, and services. The course also covers deployment strategies and persistent storage management using volumes and persistent volume claims. With an 80% lab-based approach, this course ensures learners gain practical experience in deploying and managing applications on Kubernetes in a short time.

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  • Live Training (Duration : 8 Hours)
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  • Classroom Training fee on request

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Course Prerequisites

To ensure that participants have the best learning experience in the Kubernetes Essentials course, certain prerequisites are recommended. These prerequisites are designed to provide students with the fundamental knowledge necessary to grasp the concepts taught in the course effectively. Here are the minimum required prerequisites:


  • Basic understanding of Linux command line interface and operations
  • Familiarity with basic Linux system administration tasks (e.g., navigating the file system, editing files with text editors like vi or nano)
  • Knowledge of fundamental networking concepts (e.g., IP addressing, ports)
  • Awareness of basic software development or systems administration concepts, such as version control (e.g., Git)
  • An introductory level of understanding of containers and their role in modern software deployment (Docker experience is beneficial but not mandatory)

While prior experience with container orchestration is not required, the following would be beneficial:


  • Exposure to the concept of containerization and the role of Docker
  • Understanding of the purpose and use of container orchestration platforms

Please note that these prerequisites are intended to provide a foundation for the Kubernetes Essentials course and are not meant to be barriers to entry. The course is designed to accommodate learners who are new to Kubernetes, and it includes introductions to many of the core concepts and tools.


Target Audience for Kubernetes Essentials

Kubernetes Essentials by Koenig Solutions is designed for IT professionals seeking to manage containerized applications efficiently using Kubernetes.


  • DevOps Engineers
  • Software Developers
  • System Administrators
  • Cloud Engineers
  • IT Project Managers
  • Technical Leads
  • Application Developers
  • IT Graduates and Professionals looking to upskill
  • Infrastructure Architects looking to understand container orchestration


Learning Objectives - What you will Learn in this Kubernetes Essentials?

  1. Introduction to the Course's Learning Outcomes: The Kubernetes Essentials course is designed to impart foundational knowledge of Kubernetes, focusing on core concepts, resource management, application lifecycle, and storage to efficiently orchestrate containerized applications.

  2. Learning Objectives and Outcomes:

  • Understand the basics and necessity of container orchestration in modern software environments.
  • Gain a comprehensive introduction to Kubernetes, including its purpose, benefits, and fundamental components.
  • Learn the architecture of Kubernetes, including master and node components, and their roles within the cluster.
  • Manage pods effectively, which are the basic deployable units in Kubernetes.
  • Utilize labels and selectors for organizing and selecting subsets of objects.
  • Configure and manage Replica Sets to ensure that a specified number of pod replicas are running at any given time.
  • Understand the different types of Services (ClusterIP, NodePort, LoadBalancer) and how they route traffic to pods.
  • Grasp the concept of Deployments for managing the application lifecycle, including updates and rollbacks.
  • Explore different deployment strategies such as Rolling Update and Canary releases, and learn how to implement them using Kubernetes.
  • Handle storage in Kubernetes by working with Volumes, Persistent Volumes (PVs), and Persistent Volume Claims (PVCs) to manage stateful data.

Technical Topic Explanation

Application lifecycle management

Application Lifecycle Management (ALM) is the process of managing the life of a software application from concept to delivery. It encompasses requirements management, software architecture, coding, testing, tracking, and release management. ALM aims to streamline the development process by ensuring that project goals are met, software quality is improved, and delivery timelines are adhered to. It integrates tools, people, and processes to ensure efficient workflow throughout the project lifecycle, enhancing productivity and reducing time to market. ALM provides a framework for collaboration between various stakeholders, improving communication and aligning business goals with technological solutions.

Volumes

Volumes in Kubernetes are components that allow data to persist and be shared across containers in a pod. Unlike the temporary lifecycle of containers, volumes ensure data is preserved when containers are restarted or replaced. This is crucial for stateful applications that need to save and manage data. Volumes can be configured in many types, like local disk directories or cloud products, providing flexibility in managing storage resources. Learning about volumes is essential in Kubernetes operations, often covered in-depth in a CKA course or through CKA certification, enhancing skills in orchestrating containerized applications efficiently.

Persistent Volume Claims

Persistent Volume Claims (PVCs) in Kubernetes are a way for users to request storage resources without needing to know the specifics of the underlying storage system. When you create a PVC, it lets Kubernetes know that your application needs a certain amount of storage. This is then matched with a Persistent Volume (PV) that meets the requirements. This process decouples actual storage from the request, simplifying how applications are deployed and managed, ensuring that storage is provided as needed in a standardized way.

Container orchestration

Container orchestration is the automated management of software containers, crucial for deploying applications efficiently and at scale. Kubernetes stands out as a leading system for orchestrating containers, helping manage aspects like load balancing and resource allocation. Gaining expertise through a Kubernetes certification, particularly a CKA (Certified Kubernetes Administrator) course or training, can provide in-depth understanding and skills in setting up and maintaining Kubernetes environments, crucial for career-enhancement in tech fields involving cloud infrastructure and application deployment.

Pods

Pods are the smallest, deployable units of computing that can be created and managed in Kubernetes, a popular system for automating the deployment, scaling, and management of containerized applications. Each pod represents a running process on your cluster and can contain one or more containers. These containers in a pod share the same network IP, port space, and storage, allowing them to communicate and share data easily. Understanding pods is essential for efficient application deployment and management in Kubernetes environments, which is central to the CKA (Certified Kubernetes Administrator) certification and related training courses.

Kubernetes architecture

Kubernetes is a system that manages containerized applications across a cluster of machines, facilitating both declarative configuration and automation. It efficiently handles the deployment and scaling of applications, and maintains their desired state. The architecture includes a master node that schedules applications and manages desired states, and worker nodes that run the applications. Key components such as pods, services, and volumes help in service discovery and storage orchestration. Earning a CKA (Certified Kubernetes Administrator) certification through a CKA course or CKA training enhances one's ability to deploy and manage Kubernetes effectively in a production environment.

Labels

Labels in Kubernetes are key-value pairs attached to objects, such as pods or services, which are used to organize and select subsets of these objects. They simplify managing and operating on resources, enabling users to filter and group objects based on specified criteria. This is crucial for deploying and maintaining scalable and efficient systems. CKA certification, focusing on Kubernetes, includes understanding and effectively utilizing labels for managing cluster components efficiently, which is an essential skill covered extensively in CKA courses and training.

Selectors

Selectors in Kubernetes are query-like tools used to target specific resources within a cluster based on attributes like labels. They help manage and control the different components of a Kubernetes system, such as pods or services, by filtering objects that meet specific criteria. Selectors are essential for effective configuration and scaling in Kubernetes environments, typically discussed in CKA courses targeting Kubernetes certification. Understanding and utilizing selectors are critical skills you gain during CKA training, helping you to efficiently deploy and maintain Kubernetes applications.

Replica Sets

Replica Sets in Kubernetes are configurations that manage the multiple instances of the same application, ensuring a specified number of replicas (copies of pods) are running at any given time. This provides reliability and high availability; if some pods fail, the Replica Set automatically creates new ones to maintain the desired state. This is fundamental for implementing scalable and fault-tolerant applications, especially in environments managing extensive workloads, making understanding it essential for Kubernetes users aiming for the best Kubernetes certification or enrolling in a CKA course, training, or seeking CKA certification.

Persistent Volumes

Persistent Volumes in Kubernetes are a system for managing storage in the cluster. They allow data to persist beyond the lifecycle of an individual pod, ensuring that data survives even when the containers that use them stop running. This is crucial for applications that require reliable storage, such as databases. Kubernetes manages the provisioning and scaling of these volumes, making them a robust solution for storage needs. This feature elevates the usability and management of cluster resources, fitting perfectly with systems needing high availability and resilience.

Target Audience for Kubernetes Essentials

Kubernetes Essentials by Koenig Solutions is designed for IT professionals seeking to manage containerized applications efficiently using Kubernetes.


  • DevOps Engineers
  • Software Developers
  • System Administrators
  • Cloud Engineers
  • IT Project Managers
  • Technical Leads
  • Application Developers
  • IT Graduates and Professionals looking to upskill
  • Infrastructure Architects looking to understand container orchestration


Learning Objectives - What you will Learn in this Kubernetes Essentials?

  1. Introduction to the Course's Learning Outcomes: The Kubernetes Essentials course is designed to impart foundational knowledge of Kubernetes, focusing on core concepts, resource management, application lifecycle, and storage to efficiently orchestrate containerized applications.

  2. Learning Objectives and Outcomes:

  • Understand the basics and necessity of container orchestration in modern software environments.
  • Gain a comprehensive introduction to Kubernetes, including its purpose, benefits, and fundamental components.
  • Learn the architecture of Kubernetes, including master and node components, and their roles within the cluster.
  • Manage pods effectively, which are the basic deployable units in Kubernetes.
  • Utilize labels and selectors for organizing and selecting subsets of objects.
  • Configure and manage Replica Sets to ensure that a specified number of pod replicas are running at any given time.
  • Understand the different types of Services (ClusterIP, NodePort, LoadBalancer) and how they route traffic to pods.
  • Grasp the concept of Deployments for managing the application lifecycle, including updates and rollbacks.
  • Explore different deployment strategies such as Rolling Update and Canary releases, and learn how to implement them using Kubernetes.
  • Handle storage in Kubernetes by working with Volumes, Persistent Volumes (PVs), and Persistent Volume Claims (PVCs) to manage stateful data.

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