Overview

Kubernetes, often abbreviated as K8s, is an open-source container orchestration platform designed to simplify the deployment, scaling, and management of containerized applications. Developed by Google and now maintained by the Cloud Native Computing Foundation (CNCF), Kubernetes has become the de facto standard for container orchestration in the world of cloud-native computing.

As a Kubernetes developer's role revolves around leveraging the power of Kubernetes to streamline the deployment and operation of applications within containers. You'll work with containerization technologies like Docker to package applications and their dependencies into portable units. Kubernetes provides you with a framework to automate the deployment of these containers, manage their scaling based on demand, ensure high availability, and handle rolling updates without downtime. Kubernetes abstracts away the underlying infrastructure complexities, enabling developers to focus on application logic while ensuring consistency and reliability across different environments. Kubernetes developers need to be proficient in creating and managing Kubernetes manifests (YAML files) to define application configurations, service definitions, and deployment strategies, as well as have a deep understanding of concepts like pods, services, and namespaces to efficiently orchestrate containerized applications in a distributed environment.

 

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USD 31,900 /-

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Course Highlights

Introduction to Kubernetes: Understand the basics of Kubernetes, its architecture, and its role in container orchestration.

Container Fundamentals: Learn about containerization technologies like Docker, as containers are fundamental to Kubernetes.

Kubernetes Cluster Setup: Discover how to set up a Kubernetes cluster locally using tools like Minikube or in a cloud environment like AWS, GCP, or Azure.

Pods: Explore the concept of pods, which are the smallest deployable units in Kubernetes, and understand how to create and manage them.

Services: Learn how to create and expose services to enable communication between different parts of your application.

ReplicaSets and Deployments: Understand how to manage application scalability and reliability using ReplicaSets and Deployments.

ConfigMaps and Secrets: Explore how to manage configuration data and sensitive information in your Kubernetes applications.

Persistent Storage: Learn about different types of storage in Kubernetes and how to use PersistentVolumeClaims to manage data storage.

Resource Management: Discover how to allocate and manage resources (CPU and memory) for your containers.

Network Policies: Implement network policies to control communication between pods, enhancing security.

Certifications

After you complete the course with Skillfloor, you will receive a certification, you will learn the fundamentals of Kubernetes, including containerization, cluster management, scaling applications, and continuous deployment. You'll gain practical experience by working on real-world projects and mastering essential Kubernetes tools and concepts. Our expert instructors will guide you through the intricacies of Kubernetes, ensuring you understand how to leverage its power to deploy, manage, and scale containerized applications effectively.

Why SKILLFLOOR ?

Top 10 Reasons For Choosing this Course

Complexity of Kubernetes: Kubernetes is a highly complex container orchestration platform. It involves numerous components and concepts like pods, services, controllers, and networking. Without a basic understanding of these, learners may struggle to grasp more advanced topics.

Prerequisites: Many Kubernetes developer courses assume that participants have prior knowledge of containerization technologies like Docker, as Kubernetes often builds on these foundational concepts.

Resource Efficiency: Ensuring that participants have a foundational understanding helps to make the most of course resources. Instructors can focus on more advanced topics rather than reteaching basic concepts.

Effective Learning: Learners with a certain skill level can engage more effectively in discussions, ask relevant questions, and benefit from peer interactions in the course.

Minimizing Frustration: A lack of prerequisites can lead to frustration among learners who struggle with the material, potentially resulting in a negative learning experience.

Course Pace: Courses can progress at a faster pace if participants already have some foundational knowledge, allowing them to cover more advanced topics in the same time frame

Real-World Readiness: Kubernetes is typically used in production environments, so it's important for developers to be adequately prepared with foundational knowledge before working with it professionally.

Resource Management: Kubernetes involves managing and optimizing resources. Without a certain level of knowledge, learners may not fully grasp the significance of resource allocation and optimization.

Security Considerations: Security is a critical aspect of Kubernetes. Ensuring that participants have a basic understanding of security concepts reduces potential vulnerabilities in their applications.

Efficiency and Cost: From a business perspective, it can be inefficient and costly to enroll learners who are not adequately prepared, as they may require more instructor time and resources to bring them up to speed.

Course Curriculum

  •  Understanding the core concepts of Kubernetes                                                                                                    
     Overview of Kubernetes architecture and components                                                                                                    
     Installing and configuring Kubernetes on local machines

  •  Deploying microservices on Kubernetes                                                                                                    
     Creating and managing Kubernetes pods and containers                                                                                                    
     Kubernetes deployment strategies

  •  Understanding Kubernetes networking concepts                                                                                                    
     Configuring Kubernetes networking using services                                                                                                    
     Networking policies in Kubernetes

  •  Overview of Kubernetes storage options                                                                                                    
     Using Persistent Volumes (PVs) and Persistent Volume Claims (PVCs)                                                                                                    
     Configuring stateful applications on Kubernetes

  •  Monitoring Kubernetes clusters using tools like Prometheus and Grafana                                                                                                    
     Managing Kubernetes object lifecycle using Kubernetes API objects                                                                                                    
     Updating and upgrading Kubernetes clusters

  •  Kubernetes High Availability                                                                                                    
     Scaling Kubernetes clusters with autoscaling                                                                                                    
     Kubernetes security features

  •  Integrating Kubernetes with other cloud-native technologies like Istio and Knative                                                                                                    
     Using Kubernetes in cloud-native application development

  •  Developing with Kubernetes APIs                                                                                                    
     Kubernetes development workflows                                                                                                    
     Best practices for developing applications on Kubernetes

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