Azure Kubernetes Service (AKS) Course Overview

Azure Kubernetes Service (AKS) Course Overview

The Azure Kubernetes Service (AKS) course is designed to educate learners on deploying, managing, and scaling containerized applications using Kubernetes on Azure. It begins with Module 1: Core Concepts, where students gain foundational knowledge about container orchestration, Kubernetes, and its architecture. As the course progresses, learners will delve into Module 2: Create Azure AKS Cluster, learning how to set up an Azure managed Kubernetes environment and explore it using Kubectl and the Azure CLI.

Throughout the course, participants will also learn to manage resources, schedule workloads, understand Application lifecycle management, and configure environment variables. Module 7: Storage teaches about Persistent storage using Azure Disks, a crucial aspect of stateful applications. Security in Module 8 covers Active Directory integration for AKS, a key component for Azure DevOps Kubernetes deployment strategies.

Advanced topics include Autoscaling in Module 9, Logging and monitoring in Module 10, and networking in Kubernetes in Module 11. By the end of the course, learners will be well-versed in leveraging AKS for robust, efficient, and secure Kubernetes deployments in the Azure cloud.

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Following courses are similar to Azure Kubernetes Service (AKS)

1. Certified Kubernetes Administrator (CKA) The "Certified Kubernetes Administrator (CKA)" and "Azure Kubernetes Service (AKS)" courses are both focused on teaching the skills needed to deploy, manage, and scale applications in Kubernetes environments Read More

Course Prerequisites

To ensure that participants are ready to successfully undertake training in the Azure Kubernetes Service (AKS) course, the following prerequisites are recommended:


  • Basic understanding of cloud computing and the core concepts of Microsoft Azure services.
  • Familiarity with the concept of containerization and its benefits.
  • Some experience with command-line interfaces (CLI) and scripting (e.g., Bash, PowerShell).
  • Knowledge of fundamental Linux commands, as Kubernetes often involves interaction with Linux-based systems.
  • An introductory level of knowledge about Docker, including container creation and deployment.
  • Understanding of basic networking concepts (IP addressing, routing, DNS, etc.).
  • Awareness of basic concepts related to DevOps and Agile software development practices.

Please note that these prerequisites are designed to ensure that students have a smooth learning experience and can fully benefit from the AKS course content. Prior exposure to these areas will help in comprehending the course material more effectively. However, individuals with a strong motivation to learn and a commitment to engage with the course material may overcome gaps in their initial knowledge through dedicated study.


Target Audience for Azure Kubernetes Service (AKS)

The Azure Kubernetes Service (AKS) course offers in-depth training on managing containerized applications with Kubernetes on Azure.


  • DevOps Engineers
  • Cloud Solutions Architects
  • IT Professionals with a focus on Azure environments
  • Software Developers interested in deploying applications on AKS
  • System Administrators looking to manage containerized infrastructures
  • Kubernetes Administrators aiming to integrate with Azure services
  • Technical Team Leads overseeing deployment strategies
  • Infrastructure Engineers transitioning to cloud-native solutions
  • Security Professionals responsible for cloud security
  • Network Engineers involved in Kubernetes networking solutions
  • IT Project Managers overseeing cloud-based projects
  • Technical Support Staff specializing in Azure ecosystems
  • IT Students and enthusiasts seeking knowledge in container orchestration


Learning Objectives - What you will Learn in this Azure Kubernetes Service (AKS)?

Introduction to Azure Kubernetes Service (AKS) Course Learning Outcomes:

Gain expertise in managing containerized applications with Azure Kubernetes Service (AKS) through in-depth lessons on orchestration, cluster creation, resource management, security, and more.

Learning Objectives and Outcomes:

  • Understand container orchestration concepts and the fundamentals of Kubernetes.
  • Learn to deploy, manage, and scale applications using Azure Kubernetes Service (AKS).
  • Acquire knowledge of Kubernetes architecture and components for effective cluster management.
  • Create and explore AKS clusters using Azure CLI and kubectl.
  • Master the management of Kubernetes resources including Pods, Labels, Selectors, Replication Controllers, and Services.
  • Develop proficiency in scheduling techniques within AKS, such as manual scheduling, using taints and tolerations, and node affinity.
  • Implement application lifecycle management, including deployment strategies and managing deployments.
  • Manage sensitive data using Kubernetes Secrets and ConfigMaps.
  • Understand storage in Kubernetes, including Volumes, Persistent Volumes, Persistent Volume Claims, and Azure-specific storage solutions.
  • Learn to integrate Azure Active Directory with AKS for authentication and manage access using RBAC.
  • Implement autoscaling in AKS, including cluster autoscaler and horizontal pod autoscaler.
  • Gain insights into monitoring and logging for AKS clusters and applications.
  • Comprehend Kubernetes networking, including CNI, Pod networking, DNS configurations, Ingress rules, and Load Balancer services.

Technical Topic Explanation

Kubernetes

Networking in Kubernetes is essential for managing the communication between various components, like containers and pods, within a cluster. It ensures that these components can communicate with each other reliably and securely. Kubernetes networking simplifies this process by automatically assigning IP addresses to pods and defining rules on how they interact. This allows for seamless integration and scalability across applications. Essentially, it is the infrastructure that allows data to flow between services, enhancing efficiency and performance in a Kubernetes environment.

Container orchestration

Container orchestration involves managing the lifecycles of containers in dynamic environments. It automates the deployment, scaling, and networking of containers. Essentially, it helps in organizing and controlling a large number of containerized applications, ensuring they run efficiently. Azure Kubernetes Service (AKS) simplifies deploying a managed Kubernetes cluster in Azure by handling tasks like health monitoring and maintenance automatically. As organizations adopt Kubernetes for container orchestration, proficiency can be enhanced through options like Azure Kubernetes training, AKS certification, and specific courses focused on mastering Azure DevOps Kubernetes deployment.

Kubernetes

Kubernetes is a system that allows you to manage groups of containerized applications across a cluster of machines efficiently. It helps with tasks such as deploying applications, scaling them as necessary, handling changes in the network, and managing resources automatically. Azure Kubernetes Service (AKS) makes it simpler to run Kubernetes on Azure by minimizing the complexity of handling the infrastructure, automating updates, and integrating seamlessly with Azure services. This makes deploying and scaling applications easier and more secure, drawing interest to specific training like azure kubernetes course, azure kubernetes training, and azure aks training for proficiency in managing Kubernetes through Azure.

Kubernetes

Kubernetes architecture centers around orchestrating and managing containerized applications. It uses a master node that handles the scheduling and operations of worker nodes where the actual applications run. Each worker node contains pods, the smallest deployable units, which encapsulate one or more containers. Kubernetes simplifies deploying, scaling, and managing applications, ensuring they run efficiently and resiliently. It underpins Azure Kubernetes Service (AKS), facilitating seamless Kubernetes deployment and management within the Azure environment. This serves as a foundation for learning in any Azure Kubernetes course, aiding preparations for an AKS certification or enhancing skills through Azure Kubernetes training.

Kubernetes

Azure Managed Kubernetes, also known as Azure Kubernetes Service (AKS), simplifies deploying, managing, and operating Kubernetes clusters in the cloud. It automates complex tasks like scaling and upgrades, freeing you to focus on application development rather than infrastructure management. Ideal for continuous integration and continuous delivery (CI/CD), AKS integrates seamlessly with Azure DevOps for streamlined Kubernetes deployment. To master AKS, many opt for Azure Kubernetes courses, Azure AKS training, and Azure Kubernetes training. Earning an Azure Kubernetes Service (AKS) certification can validate your skills and enhance your professional credibility in cloud technologies.

Kubectl

Kubectl is a command-line tool used to control Kubernetes clusters, which are systems that help with the deployment and management of containerized applications. Essentially, kubectl lets you deploy applications, inspect and manage cluster resources, and view logs. It communicates with the Kubernetes API to send commands to the cluster, making it essential for tasks like starting and stopping applications, checking resource usage, and troubleshooting. This tool is fundamental for anyone involved in managing applications on Kubernetes, particularly when using services like Azure Kubernetes Service (AKS), which simplifies deploying and managing containerized applications at scale.

Azure CLI

The Azure CLI is a command-line tool that provides a method to create and manage Azure resources directly from the terminal. It offers a streamlined experience to execute and automate Azure operations by scripting. Using the CLI, you can manage wide-ranging Azure services encompassing compute, networking, storage, and more, enabling rapid deployment and management of resources. It is designed to be descriptive and easy to understand, allowing developers to efficiently interact with Azure without the need for navigating through the graphical user interface. The Azure CLI is essential for automating tasks and simplifying cloud operations.

Application lifecycle management

Application lifecycle management (ALM) refers to the continuous process of managing the life of an application through governance, development, and maintenance. It's about overseeing an application from its initial planning to its eventual retirement. ALM integrates different disciplines, involving teams and processes, to optimize and streamline the application’s development. This comprehensive management includes defining requirements, designing, coding, testing, deployment, and support. The goal is to improve application quality, speed up delivery times, and enhance project visibility and collaboration, ensuring that every phase of the lifecycle is efficient, controlled, and aligned with business objectives.

Persistent storage

Persistent storage refers to a method of retaining data even after a system restart or termination, ensuring data longevity and reliability. This is crucial in cloud environments, like when using Microsoft Azure Kubernetes Service (AKS), which manage and orchestrate containerized applications. With Azure AKS, persistent storage allows for stateful applications to save and access data seamlessly across container restarts, aiding in effective azure devops kubernetes deployment. Azure Kubernetes training often covers how to implement and manage persistent storage solutions, making it essential for professionals looking toward azure AKS training to optimize application performance in cloud settings.

Azure Disks

Azure Disks are storage volumes on Microsoft Azure that provide durable, block-level storage solutions for applications run within Azure Virtual Machines. Essentially, these disks function like physical disks in a server but are managed virtually. They are designed to be highly available and secure, supporting both high-performance premium SSDs and standard HDDs. Azure Disks are effortlessly integrated with Azure Kubernetes Service (AKS), enhancing the performance of containerized applications by providing persistent data storage solutions. This integration facilitates seamless deployments and management within Azure's ecosystem, particularly when utilized in conjunction with Azure DevOps for Kubernetes deployments.

Active Directory integration

Active Directory integration allows organizations to manage and secure user identities and permissions across their networks. When integrated with Azure Kubernetes Service (AKS), it enhances security by enabling role-based access control, ensuring that only authorized users can access AKS resources. This integration simplifies the management of user permissions and improves the security of containerized applications deployed in Kubernetes, making it essential for Azure DevOps Kubernetes deployment. Azure AKS training and certification also provide insights into best practices for integrating and managing these systems effectively.

Kubernetes

Azure DevOps Kubernetes deployment involves using Azure DevOps tools to automate the process of deploying applications in Kubernetes clusters managed by Azure Kubernetes Service (AKS). Through Azure DevOps, you can streamline your development workflows, implement continuous integration and delivery (CI/CD) pipelines, and efficiently manage and update your applications in a scalable environment. This integration is vital for teams looking to enhance their deployment strategies and application management on cloud platforms, which can be further mastered by undertaking Azure AKS training or Azure Kubernetes course to gain certification and comprehensive expertise.

Autoscaling

Autoscaling is a feature within cloud services that automatically adjusts the number of resources in a system based on the current demand. For example, in the context of Azure Kubernetes Service (AKS), autoscaling helps manage the workload by adding or reducing the number of virtual machines or containers as needed without manual intervention. This ensures optimal performance and cost-efficiency, making it a key component in Azure AKS training and relevant for those pursuing Azure Kubernetes Service AKS certification. Autoscaling is essential in maintaining system stability and responsiveness, especially when integrated into Azure DevOps Kubernetes deployments.

Logging and monitoring

Logging and monitoring in technology involves collecting, storing, and analyzing data about a system’s operation to ensure it runs smoothly and securely. Logging captures detailed information such as error messages and transaction details, helping in troubleshooting issues and improving system performance. Monitoring continuously reviews this data to check the health of the system, prevent potential problems, and optimize performance. Together, they are crucial for maintaining the reliability and efficiency of IT systems, particularly in complex environments managed through solutions like Azure Kubernetes Service (AKS), ensuring robust deployment and management of containerized applications.

Target Audience for Azure Kubernetes Service (AKS)

The Azure Kubernetes Service (AKS) course offers in-depth training on managing containerized applications with Kubernetes on Azure.


  • DevOps Engineers
  • Cloud Solutions Architects
  • IT Professionals with a focus on Azure environments
  • Software Developers interested in deploying applications on AKS
  • System Administrators looking to manage containerized infrastructures
  • Kubernetes Administrators aiming to integrate with Azure services
  • Technical Team Leads overseeing deployment strategies
  • Infrastructure Engineers transitioning to cloud-native solutions
  • Security Professionals responsible for cloud security
  • Network Engineers involved in Kubernetes networking solutions
  • IT Project Managers overseeing cloud-based projects
  • Technical Support Staff specializing in Azure ecosystems
  • IT Students and enthusiasts seeking knowledge in container orchestration


Learning Objectives - What you will Learn in this Azure Kubernetes Service (AKS)?

Introduction to Azure Kubernetes Service (AKS) Course Learning Outcomes:

Gain expertise in managing containerized applications with Azure Kubernetes Service (AKS) through in-depth lessons on orchestration, cluster creation, resource management, security, and more.

Learning Objectives and Outcomes:

  • Understand container orchestration concepts and the fundamentals of Kubernetes.
  • Learn to deploy, manage, and scale applications using Azure Kubernetes Service (AKS).
  • Acquire knowledge of Kubernetes architecture and components for effective cluster management.
  • Create and explore AKS clusters using Azure CLI and kubectl.
  • Master the management of Kubernetes resources including Pods, Labels, Selectors, Replication Controllers, and Services.
  • Develop proficiency in scheduling techniques within AKS, such as manual scheduling, using taints and tolerations, and node affinity.
  • Implement application lifecycle management, including deployment strategies and managing deployments.
  • Manage sensitive data using Kubernetes Secrets and ConfigMaps.
  • Understand storage in Kubernetes, including Volumes, Persistent Volumes, Persistent Volume Claims, and Azure-specific storage solutions.
  • Learn to integrate Azure Active Directory with AKS for authentication and manage access using RBAC.
  • Implement autoscaling in AKS, including cluster autoscaler and horizontal pod autoscaler.
  • Gain insights into monitoring and logging for AKS clusters and applications.
  • Comprehend Kubernetes networking, including CNI, Pod networking, DNS configurations, Ingress rules, and Load Balancer services.