What is Kubernetes?
Kubernetes is an open-source platform designed to automate the deployment, scaling, and operation of application containers across a cluster of hosts. Kubernetes manages applications that are packaged into containers that hold an application’s code, dependencies, and resources, making it easy to run them consistently across different platforms. Kubernetes aims to provide a framework for running distributed systems smoothly, allowing for the scaling of applications and optimization of hardware usage by using only the necessary resources.
Importance of Kubernetes training for DevOps teams
As organizations increasingly adopt cloud-native technologies for deploying and managing their applications, Kubernetes has emerged as the de facto standard for organizing containerized applications. For DevOps teams, understanding the intricacies of container orchestration helps them with making their company transition to cloud-native infrastructures more smoothly and efficiently. Kubernetes standardizes the deployment environment across development, testing, and production, reducing inconsistencies and operational hiccups that can improve collaboration across the DevOps teams.
DevOps teams trained in Kubernetes can better design systems for scalability from the outset, anticipating and mitigating potential bottlenecks. Kubernetes training introduces DevOps teams to a wealth of best practices in container orchestration, including security, networking, and state management. These practices are essential for maintaining a secure and efficient infrastructure, reducing the risk of downtime and security breaches.
Top courses for Kubernetes training
At DevPath, we offer a number of courses focused on Kubernetes that L&D teams can incorporate into their Kubernetes training. Some of the top courses for Kubernetes training are as follows:
Learn Kubernetes: A Deep Dive
Kubernetes in Practice
Programming with Kubernetes
Troubleshooting Docker and Kubernetes Containers
Building a Serverless App Platform on Kubernetes
Running Kubernetes Cluster Using Azure Kubernetes Service
Learn Kubernetes: A Deep Dive
This course introduces Kubernetes, focusing on its use in deploying and managing applications across various platforms, including Amazon Web Services and Microsoft Azure, as well as on-premises data centers. Learners will gain insights into the architecture of Kubernetes, understanding how its components interconnect to provide a cohesive system for container orchestration. The course emphasizes hands-on learning, guiding learners through setting up their own Kubernetes clusters, which is crucial for gaining practical experience in deploying and managing applications. The course also covers threat modeling and best practices for securing applications, addressing a critical aspect of modern software deployment. By the conclusion of the course, learners will have developed a comprehensive understanding of Kubernetes, equipped with the skills to deploy, manage, and secure applications effectively.
Learn Kubernetes: A Deep Dive
Kubernetes helps deploy and manage containerized applications at scale. It abstracts the underlying infrastructure so it doesn’t matter if you're deploying your applications to Amazon Web Services, Microsoft Azure, or your own on-premises datacenter. In this course, you will cover the most essential Kubernetes concepts that you’ll need to know to be proficient, including pods, services, and deployments. Beyond that, you will learn about the Kubernetes architecture, how to build clusters, and how to deploy and manage applications. In the last part of the course, you will dive into threat modeling and real-world security practices. By the end of this course, you will have a great new skill for your resume and you’ll be able to start using Kubernetes in your own projects.
Kubernetes in Practice
The course aims to offer an extensive study on Kubernetes so that DevOps teams can confidently use this tool for container orchestration. It covers everything from basic concepts, such as architecture, pods, deployments, services, and ingress, to more advanced topics, all with a focus on practical application. The course takes a step-by-step approach to building learners’ confidence and skills in deploying and running an application in a real Kubernetes cluster. The course focuses on preparing DevOps teams to tackle Kubernetes projects with assurance. If you’re ready to enhance your dev team’s Kubernetes skills through practical experience, “Kubernetes in Practice” is an ideal choice.
Kubernetes in Practice
Kubernetes in Practice is your one-stop shop for learning how to build, deploy, scale, and manage Kubernetes in a step-by-step process. You will learn all the most important concepts including: architecture, pods, deployments, services, ingress, and a whole lot more. Once you have the fundamentals out of the way, you will get the opportunity to put your skills to work in a project where you will create and run an application in a real Kubernetes cluster. By the time you finish this course, you will have complete confidence when it comes to deploying and managing kubernetes clusters.
Programming with Kubernetes
This course is designed for DevOps teams interested in learning about Kubernetes. It covers the technology’s basics, including its architecture, frameworks, plugins, and interfaces, with a focus on its extensibility features. Learners will study how to deploy, scale, and manage containerized applications using Kubernetes and how to customize and extend Kubernetes to meet the needs of their projects. The goal of the course is to provide a comprehensive understanding of Kubernetes so that participants can improve their containerized applications’ efficiency and scalability.
Programming with Kubernetes
Kubernetes is a popular open-source container orchestration system that automates the deployment, scaling, and management of containerized applications. This course is designed to provide a comprehensive understanding of Kubernetes and its programming concepts. You’ll dive deep into advanced topics of Kubernetes. This course will cover topics such as Kubernetes architecture, frameworks, plugins, and interfaces. You’ll also learn the powerful extensibilities of Kubernetes and make full use of these built-in capabilities to build your customized Kubernetes. This course is ideal for developers, DevOps engineers, and system administrators who want to learn how to master Kubernetes. By the end of the course, you’ll have a solid understanding of Kubernetes, its programming concepts, and be able to deploy, scale, and manage containerized customizations on Kubernetes. You will also get hands-on experience extending Kubernetes to meet your requirements.
Troubleshooting Docker and Kubernetes Containers
This course is designed to address the challenges associated with container technologies, focusing on Docker and Kubernetes. The course starts off by explaining the fundamentals of containers, highlighting their role in improving consistency across development, testing, and production platforms. Learners will learn detailed aspects of working with Docker, including handling images, managing log files, inspecting containers, and resource cleanup, as well as troubleshooting to resolve common Docker-related issues, such as image build errors and network problems within containers. The course then progresses to Kubernetes-specific challenges where learners study how to ensure high availability, manage pod and service life cycles, and troubleshoot common issues related to pods, networks, and configurations. By the end of this course, the DevOps team will have mastered both the deployment of applications using Docker and Kubernetes and the troubleshooting of common problems, ensuring the resilience, scalability, and maintainability of containerized applications.
Troubleshooting Docker and Kubernetes Containers
Containers help applications easily be packaged and shipped to any environment. Two of the most popular container tools are Docker and Kubernetes. Depending on their utilization, containers can experience image build, pods and node failures, and communication issues. This course will help you learn how to handle those issues. This course teaches you what containers are and why they were adopted. You’ll explore Docker images, review log files in Docker, inspect containers, and clean resources while learning to fix issues with Docker image builds and resolving Docker container network errors. Then, you’ll get an overview of Kubernetes, how to manage a cluster and resolve reliability issues, and how to fix pod, network, container, configuration, and ingress issues. Finally, you’ll create a robust container infrastructure. By the end of this course, you’ll also have a strong grasp on approaching and handling container issues and troubleshooting various issues in Docker and Kubernetes.
Building a Serverless App Platform on Kubernetes
One key trend among businesses is the use of multi-cloud strategies, such as container technologies like Kubernetes, for app deployment and management. There is serverless computing, where server management details are hidden, allowing developers to concentrate on coding. The course covers serverless application creation, highlighting the use of Knative to make deploying these applications easier with Kubernetes. The course also includes how to set up CI/CD pipelines that react to GitHub updates, which is achieved by using Tekton integration with Kubernetes to automate application testing and deployment. A practical part of the course involves learning to build container images, starting with basic methods and moving to Cloud Native Buildpacks for a more standardized approach. The course concludes with a project where participants build a web application that connects to GitHub, automating build and deployment based on GitHub activity. Through this approach, DevOps teams learn the integration of containerization, serverless computing, and CI/CD into application development.
Building a Serverless App Platform on Kubernetes
Businesses are modernizing and adopting multi-cloud approaches to deliver services. This shift in application deployment has given rise to containerization and Kubernetes for the deployment, management, and scaling of containerized applications. This course introduces you to serverless computing and shows you how to build serverless applications using Knative. It teaches CI/CD using Tekton and shows you how to build pipelines triggered by GitHub events. You will create a pipeline that builds container images using Build and, later, Cloud Native Buildpacks. In the last part of the course, you will build a web application that integrates with GitHub using a GitHub App, and triggers application build and deployment in response to GitHub events.
Running Kubernetes Cluster Using Azure Kubernetes Service
The shift from traditional server management to cloud-based has highlighted the importance of containerization technology. This course is designed to equip DevOps teams with the knowledge of Docker and Kubernetes, marking their first step toward mastering containerization. DevOps teams will be first introduced to key concepts in Docker and then explore the process of creating a Dockerfile. Moving forward in the course, learners will be introduced to Kubernetes and learn its architecture, including clusters, nodes, and how they interact to ensure that applications run efficiently. As the course progresses, DevOps teams will apply their theoretical knowledge by deploying their own Kubernetes cluster on Azure. Through hands-on experience with a Helm chart, which is a tool for managing Kubernetes applications, DevOps teams learn to navigate the complexities of container orchestration with efficiency.
Running Kubernetes Cluster Using Azure Kubernetes Service
With the huge shift in the technological world, from running servers on local premises to the cloud, the need for containerization has increased. Kubernetes is a powerful open-source platform to manage containers and their services. This course provides an understanding of Docker and Kubernetes. You will start with the basics of Docker and an introduction to containers and images. Next, you'll learn to create Dockerfile for building images. Then, you’ll learn about Kubernetes, Kubernetes clusters, nodes, and their working. You will finish this course by setting up your own Kubernetes cluster on top of Azure and using the Helm chart to manage it. In the 4 years (2015-2019), Kubernetes job searches grew by 2,125% and are continuing to grow. Therefore, understanding the basics of Kubernetes, its architecture, and its working would help you land roles like that of a DevOps engineer and a cloud architect.
Final word
The demand for professionals skilled in Kubernetes is skyrocketing. Between 2015 and 2019, job searches for roles requiring Kubernetes expertise saw an astronomical increase, and the trend continues to rise. By understanding the basics of Kubernetes, its architecture, and its operational dynamics, DevOps teams will be well-positioned to climb higher on the corporate ladder. Kubernetes training aims to build their technical skills and also to open doors to switch career opportunities in the fast-evolving tech landscape.
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