Do I need prior experience with Docker or Kubernetes?

<text variant="body1">No, this course is designed to take you from beginner to advanced levels. While familiarity with basic IT concepts like networking and virtual machines can help, no prior experience with Docker or Kubernetes is required.

What is the role of Prometheus and Grafana in this course?

<text variant="body1">Prometheus will be used to collect system and container metrics, while Grafana will allow you to visualize those metrics through customizable dashboards, enabling real-time monitoring and observability of your containerized applications.

Is this course suitable for beginners?

<text variant="body1">Yes, this course is designed to take you from beginner to advanced levels. You’ll start with Docker fundamentals and work your way up to mastering Kubernetes orchestration and monitoring with Prometheus and Grafana.

Will I be able to deploy applications in production after completing the course?

<text variant="body1">Yes, this course prepares you to deploy, manage, and scale containerized applications in production environments using Docker and Kubernetes.

What is a container image?

<text variant="body1">A container image is a read-only file that includes all the components required to run an application, such as the code, runtime, libraries, system tools, and configuration files. It acts as a packaged blueprint that can be consistently deployed across different environments.

Is Kubernetes a container?

<text variant="body1">No, Kubernetes is not a container. Instead, it is a container orchestration platform designed to manage and coordinate containerized applications. While it doesn't function as a container itself, Kubernetes works alongside container runtimes like Docker, containerd, or CRI-O to deploy, manage, and scale containers within a cluster.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Containerization and Orchestration

本课程是 Master DevOps: CI/CD, Automation & Monitoring 专项课程的一部分

位教师：Edureka

包含在 Coursera Plus 中

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5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Create and manage containers and images with Docker to containerize applications effectively.
Deploy, scale, and manage containerized applications using Kubernetes in a cluster environment.
Orchestrate and manage multi-container applications with Docker Compose and Kubernetes for scalability and efficiency.
Set up Prometheus and Grafana to monitor and visualize container and cluster performance, ensuring system reliability.

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Master DevOps: CI/CD, Automation & Monitoring 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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该课程共有5个模块

This course will take you on a journey from the fundamentals of containerization to advanced techniques in orchestration and monitoring, helping you build real-world expertise step by step. You will start with the basics of Docker, gradually progressing to orchestrating containers at scale with Kubernetes, and finally mastering container monitoring and visualization using Prometheus and Grafana.

With a hands-on approach, this course covers everything from the fundamentals of containerization to deploying complex, multi-container applications, managing Kubernetes clusters, and implementing observability. You will gain the skills necessary to automate, monitor, and manage large-scale containerized environments. By the end of this course, you will be able to: • Understand the fundamentals of Docker and containerization • Create and manage Docker containers and images • Utilize Docker Compose for multi-container applications • Analyze the architecture of Kubernetes and deploy applications using Kubernetes. • Evaluate and scale Kubernetes clusters to meet application needs. • Design and implement observability solutions using Prometheus and Grafana to monitor containers and clusters. This course is designed for DevOps practitioners, system administrators, cloud engineers, and developers who want to deepen their expertise in containerization, orchestration, and monitoring. It’s perfect for those looking to enhance their ability to deploy, scale, and manage containerized applications in modern cloud-native environments while gaining proficiency in observability practices using tools like Prometheus and Grafana.

This module introduces containerization concepts and Docker fundamentals. It covers how containers work, how to use Docker CLI, port binding, and the differences between containers and virtual machines. It builds a foundation for creating and managing lightweight, portable environments.

涵盖的内容

26个视频6篇阅读材料4个作业4个讨论话题

26个视频总计151分钟

Specialization Introduction4分钟
Course Introduction6分钟
Containerization Scenario Yelp - Challenges6分钟
Containerization Scenario Yelp - Transition to Docker4分钟
Introduction to Containerization5分钟
Introduction to Containerization - History and Use Cases6分钟
How Containers Work7分钟
Containers vs Virtual Machines - Architecture of Virtual Machines5分钟
Containers vs Virtual Machines - Architecture Comparison6分钟
Introduction to Docker5分钟
Introduction to Docker - Key Components3分钟
Introduction to Docker - Popularity5分钟
Docker Architecture - Architectural Diagram5分钟
Docker Architecture - Client, Host, and Registry5分钟
Docker Container Lifecycle5分钟
Docker CLI Commands - General and Container Management Commands7分钟
Docker CLI Commands - Image Management and Networking Commands5分钟
Docker Installation - Update Package and Enable Docker5分钟
Docker Installation - Running Docker6分钟
Docker CLI Commands - Demonstration - Running a Container5分钟
Docker CLI Commands - Demonstration - Listing Containers6分钟
Port Binding - Introduction and Types6分钟
Port Binding - Syntax and Example2分钟
Port Binding - Demonstration - Adding Port Binding6分钟
Port Binding - Demonstration - Running nginx Server7分钟
Port Binding - Demonstration - Launching the Container in Web Browser6分钟

6篇阅读材料总计45分钟

Welcome to Containerization and Orchestration5分钟
The Evolution of OS-Level Virtualization10分钟
How to use Discussion Prompt5分钟
Understanding dockerd’s Role, REST APIs, and Plugin System10分钟
Docker Networking Bridge Driver and User-Defined Networks10分钟
Summary: Containerization using Docker5分钟

4个作业总计39分钟

Practice Quiz: Getting Started with Containers3分钟
Practice Quiz: Docker Fundamentals3分钟
Practice Quiz: Docker CLI and Port Binding3分钟
Knowledge Check: Containerization using Docker30分钟

4个讨论话题总计20分钟

Introduce Yourself5分钟
The Role of Containers in Modern Application Development5分钟
Docker’s Security Implications5分钟
Port Binding Challenges in Containers5分钟

This module explores advanced Docker features including container modes, Dockerfiles, image creation, volumes, and Docker Compose. It also introduces orchestration with Docker Swarm and container monitoring using Prometheus and Grafana.

涵盖的内容

55个视频5篇阅读材料5个作业4个讨论话题

55个视频总计337分钟

Docker Container Running Modes - Detached Mode7分钟
Docker Container Running Modes - Foreground Mode4分钟
Starting Containers in Different Modes - Interactive Mode7分钟
Starting Containers in Different Modes - Detached Mode7分钟
Dockerfile - Instruction4分钟
Dockerfile - Instruction Example3分钟
Dockerfile - Creating Dockerfile6分钟
Docker Daemon5分钟
Docker Daemon - Creating a Dockerfile7分钟
Docker Daemon - Build the Docker Image6分钟
Docker Image - Principles and Features5分钟
Docker Image - Components6分钟
Docker Image - Creating, Building, and Running Dockerfile6分钟
Writing a Dockerfile to Create an Image - Installing node.js6分钟
Writing a Dockerfile to Create an Image - Installing Dependencies and Creating Server6分钟
Writing a Dockerfile to Create an Image - Building Image4分钟
Managing Docker Images - Registries and Image Distribution7分钟
Managing Docker Images - Docker Hub5分钟
Managing Docker Images - Securing and Managing Images4分钟
Pulling and Pushing Images - Pushing an Image6分钟
Pulling and Pushing Images - Pulling an Image6分钟
Setting up Docker Hub - Logging into Docker Hub6分钟
Setting up Docker Hub - Pull and Run Image from Docker Hub5分钟
Storage and Volumes in Docker - Managing Storage4分钟
Storage and Volumes in Docker - Volumes6分钟
Storage and Volumes in Docker - Demonstration - Creating and Listing Docker Volumes5分钟
Storage and Volumes in Docker - Demonstration - Verifying Data Across Container Lifecycles5分钟
Docker Compose - Introduction3分钟
Docker Compose - Important Commands4分钟
Docker Compose Installation7分钟
Multi-container Deployment with Compose - Creating and Configuring a docker-compose File7分钟
Multi-container Deployment with Compose - Full Stack Setup and Verification7分钟
Multi-container Deployment with Compose - Managing WordPress, MySQL, and Full Lifecycle Operations6分钟
Docker Swarm - Introduction and Swarm Nodes5分钟
Docker Swarm - Architecture and Uses7分钟
Running Docker in Swarm Mode - Setting Up Docker Swarm6分钟
Running Docker in Swarm Mode - Adding Workers and Deploying Services in Docker Swarm6分钟
Running Docker in Swarm Mode - Scaling and Fault Tolerance in Docker Swarm5分钟
Running Docker in Swarm Mode - Accessing and Cleaning Up Docker Swarm Services5分钟
Docker Container Monitoring7分钟
Setting Up Prometheus to Monitor Docker - Prometheus Configuration and Docker Compose Setup6分钟
Setting Up Prometheus to Monitor Docker - Deploying Prometheus with Docker Compose4分钟
Configuring Prometheus Scrape Targets for Docker Containers - Target Configuration and Deployment7分钟
Configuring Prometheus Scrape Targets for Docker Containers - Visualizing Docker Container Metrics7分钟
Docker Metrics CPU, Memory, and Network Usage - Analyzing CPU and Network Usage4分钟
Docker Metrics CPU, Memory, and Network Usage - Real-Time Metrics with Docker Stats and Inspec5分钟
Docker Metrics CPU, Memory, and Network Usage - Real-Time Monitoring with Docker stats and cAdvisor5分钟
Using Prometheus to Query and Visualize Docker Metrics - Integrating Prometheus, cAdvisor, and Grafana6分钟
Using Prometheus to Query and Visualize Docker Metrics - Visualizing Docker Metrics with Prometheus, cAdvisor, and Grafana Dashboards7分钟
Using Prometheus to Query and Visualize Docker Metrics - Creating Real-Time Docker Dashboards in Grafana with Prometheus and cAdvisor Data6分钟
Using Prometheus to Query and Visualize Docker Metrics - Adding a MySQL Container 5分钟
Using Prometheus to Query and Visualize Docker Metrics - Real-Time Performance Tracking4分钟
Creating Dashboards for Docker Containers in Grafana - Setting Up Environment7分钟
Creating Dashboards for Docker Containers in Grafana - Adding Metrics to the Dashboard6分钟
Creating Dashboards for Docker Containers in Grafana - Customizing and Visualizing Data6分钟

5篇阅读材料总计45分钟

Dockerfile Instructions10分钟
Multistage Dockerfile Builds10分钟
Docker Compose Advanced Features10分钟
Creating Custom Prometheus Exporters for Application-Level Metrics in Docker10分钟
Summary: Advanced Docker Management and Orchestration5分钟

5个作业总计42分钟

Practice Quiz: Docker Container Modes and Image Creation3分钟
Practice Quiz: Managing Docker Images and Volumes3分钟
Practice Quiz: Orchestrating Containers: Docker Compose and Swarm3分钟
Practice Quiz: Monitoring and Visualizing Docker Containers with Prometheus and Grafana3分钟
Knowledge Check: Advanced Docker Management and Orchestration30分钟

4个讨论话题总计20分钟

Optimizing Dockerfile for Image Creation5分钟
Image and Volume Management Best Practices5分钟
Multi-container Applications with Docker Compose5分钟
Proactive Monitoring and Alerting in E-Commerce Platforms5分钟

This module covers Kubernetes core concepts such as Pods, Controllers, Services, and Deployments. It also introduces kubectl, scaling strategies, rolling updates, and the architecture of Kubernetes clusters.

涵盖的内容

36个视频4篇阅读材料4个作业3个讨论话题

36个视频总计216分钟

Kubernetes Case Study6分钟
What is Kubernetes - Introduction5分钟
What is Kubernetes - Importance of Kubernetes5分钟
Kubernetes Core Concepts - Overview7分钟
Kubernetes Core Concepts - Nodes and Pods4分钟
Kubernetes Core Concepts - ReplicaSets and Namespaces6分钟
What is Kubectl3分钟
kubectl Installation6分钟
Kubectl Basic Command - create, get, run, and expose7分钟
Kubectl Basic Command - delete, apply, and edit4分钟
Kubectl Advanced Commands - rollout, scale, and set6分钟
Kubectl Advanced Commands - describe, exec, and logs6分钟
Working with kubectl Commands - Setting Up and Verifying Kubernetes Cluster6分钟
Working with kubectl Commands - Creating the YAML File for Deployment7分钟
Working with kubectl Commands - Describing Deployments4分钟
Working with kubectl Commands - Scaling Deployments6分钟
What are Pods6分钟
Pod Lifecycle - Pending Phase5分钟
Pod Lifecycle - Running, Succeeded, and Failed5分钟
ReplicaSet and ReplicationController - Defining ReplicaSet5分钟
ReplicaSet and ReplicationController - Use Cases4分钟
ReplicaSet and ReplicationController - Comparison6分钟
Kubernetes Pods Demonstration - Pod Creation and Verification7分钟
Kubernetes Pods Demonstration - Describing a Pod and Verifying Connectivity5分钟
Kubernetes Pods Demonstration - Testing Connectivity with Port Forwarding2分钟
Deployment - Introduction and Key Features5分钟
Deployments - Strategies7分钟
Deployments - Use Cases3分钟
Rolling Updates and Rollbacks - Overview6分钟
Rolling Updates and Rollbacks - Configuration Parameters5分钟
Rolling Updates and Rollbacks - Performing a Rolling Update7分钟
Deployments, Rolling Updates and Scaling in Kubernetes - Setting up Deployments 7分钟
Deployments, Rolling Updates and Scaling in Kubernetes - Exposing Deployments via NodePort 7分钟
Deployments, Rolling Updates and Scaling in Kubernetes - Performing Rolling Updates6分钟
Deployments, Rolling Updates and Scaling in Kubernetes - Performing Rollback7分钟
Deployments, Rolling Updates and Scaling in Kubernetes - Autoscaling with HPA6分钟

4篇阅读材料总计35分钟

Kubernetes Control Plane Components in Depth10分钟
Kubectl Plugins and Client-Side Configuration10分钟
Kubernetes Health‑Check Patterns10分钟
Summary: Introduction to Kubernetes5分钟

4个作业总计39分钟

Practice Quiz: Getting Started with Kubernetes3分钟
Practice Quiz: Introduction to kubectl3分钟
Practice Quiz: Pods and Scaling in Kubernetes3分钟
Knowledge Check: Introduction to Kubernetes30分钟

3个讨论话题总计15分钟

Kubernetes in Multi-Cloud Environments5分钟
Troubleshooting with kubectl in Production5分钟
Deploying and Managing ReplicaSets5分钟

This module focuses on Kubernetes networking, persistent storage, and advanced topics like StatefulSets, ConfigMaps, and Helm. It concludes with in-depth monitoring using Prometheus and Grafana to visualize metrics and set alerts.

涵盖的内容

51个视频5篇阅读材料5个作业4个讨论话题

51个视频总计307分钟

Labels, Selectors and Annotations - Characteristics of Labels5分钟
Labels, Selectors and Annotations - Types of Selectors6分钟
Labels, Selectors and Annotations - Example of Annotation6分钟
Services - ClusterIP7分钟
Services - ClusterIP (Default) Example3分钟
Services - NodePort Service5分钟
Services - LoadBalancer Service5分钟
Services - ExternalName Service2分钟
Services - Headless Service5分钟
Services - Demonstration - Setting Up the Cluster7分钟
Services - Demonstration - Testing Communication with a Pod6分钟
Services - Demonstration - Creating the NodePort Service5分钟
Services - Demonstration - NodePort and LoadBalancer for Internal and External Access5分钟
Services - Demonstration - ExternalName Service for External Resource Mapping6分钟
Services - Demonstration - ClusterIP, NodePort, LoadBalancer, and External Name for External Resource Mapping5分钟
Persistent Volumes - Introduction6分钟
Persistent Volumes - Access Modes and Persistent Volume Claims (PVCs)7分钟
Persistent Volumes - Lifecycle1分钟
Persistent Volumes and Persistent Volume Claims - Creating the Persistent Volume Claim7分钟
Persistent Volumes and Persistent Volume Claims - Verifying the Volume and Pod Status7分钟
Persistent Volumes and Persistent Volume Claims - Terminating the Pod and Verifying Volume Detachment6分钟
Ephemeral Volume - Creating the Pod with Ephemeral Volume7分钟
Ephemeral Volume - Data Storage and Verification5分钟
Headless Service - Introduction6分钟
Headless Service - Use Cases and Example3分钟
StatefulSets - Overview7分钟
StatefulSets - Components and Working5分钟
StatefulSets - Demonstration - Headless Service Setup5分钟
StatefulSets - Demonstration - StatefulSet YAML Configuration7分钟
StatefulSets - Demonstration - Verifying Pod Connectivity7分钟
StatefulSets - Demonstration - Scaling StatefulSet5分钟
ConfigMaps and Secrets - Overview of ConfigMaps 5分钟
ConfigMaps and Secrets - Types of Secrets6分钟
ConfigMaps and Secrets - Creating a ConfigMap6分钟
ConfigMaps and Secrets - Using ConfigMap and Secret in a Pod7分钟
ConfigMaps and Secrets - Creating Secrets3分钟
Helm Charts - Demonstration - Creating Your First Helm Chart6分钟
Helm Charts - Demonstration - Deploying and Testing the Chart7分钟
Helm Charts - Upgrading Helm Charts5分钟
Setting Up Prometheus for Kubernetes Clusters - Installing Prometheus Using Helm6分钟
Setting Up Prometheus for Kubernetes Clusters - Adding the Prometheus Helm Repository7分钟
Kubernetes Metrics Pods, Nodes, and Deployments - Setting Up Prometheus and Grafana Dashboards6分钟
Kubernetes Metrics Pods, Nodes, and Deployments - Visualizing Metrics6分钟
Kubernetes Metrics Pods, Nodes, and Deployments - Displaying Prometheus Data6分钟
Prometheus Kubernetes Exporters and Custom - Creating Custom Metrics5分钟
Prometheus Kubernetes Exporters and Custom Metrics - Build and Deploy a Custom Metric Application5分钟
Prometheus Kubernetes Exporters and Custom Metrics - Pushing Custom Metrics for Prometheus Monitoring6分钟
Prometheus Kubernetes Exporters and Custom Metrics - Deploying a Node.js App on Kubernetes6分钟
Prometheus Kubernetes Exporters and Custom Metrics - Metrics Configuration and Visualization on Kubernetes6分钟
Configuring Prometheus to Scrape Kubernetes Metrics - Accessing and Viewing Kubernetes Metrics6分钟
Configuring Prometheus to Scrape Kubernetes Metrics - Capturing and Viewing Kubernetes Data6分钟

5篇阅读材料总计45分钟

CNI plugins: Calico vs Flannel vs Weave Net10分钟
Dynamic Provisioning and StorageClass in Kubernetes10分钟
Helm Chart Development Best Practices10分钟
Alertmanager and Automated Remediation10分钟
Summary: Kubernetes Networking and Storage 5分钟

5个作业总计42分钟

Practice Quiz: Kubernetes Services3分钟
Working with Persistent Storage in Kubernetes3分钟
Practice Quiz: Advanced Kubernetes Concepts: StatefulSets, ConfigMaps, and Helm3分钟
Practice Quiz: Monitoring and Visualizing Kubernetes Metrics with Prometheus and Grafana3分钟
Knowledge Check: Kubernetes Networking and Storage 30分钟

4个讨论话题总计20分钟

Load Balancing with Kubernetes Services5分钟
Managing Dynamic Storage Provisioning5分钟
Managing Application Configuration with ConfigMaps5分钟
Setting Alerts for Kubernetes Issues5分钟

This final module consolidates the knowledge and skills gained throughout the course. Learners will complete a practice project and graded assessments, reinforcing their ability to deploy, orchestrate, and monitor containerized applications in real-world scenarios.

涵盖的内容

1个视频1篇阅读材料1个作业1个讨论话题

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Edureka

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常见问题

This course covers the end-to-end process of working with containers. It starts with Docker fundamentals, progresses to deploying and scaling applications using Kubernetes, and includes monitoring and observability with Prometheus and Grafana. Designed for DevOps professionals, system administrators, and developers, the course focuses on building practical skills for managing containerized applications in cloud-native environments.

Containerization is a lightweight form of virtualization that allows you to package applications and their dependencies into containers. Containers can run on any system that supports containerization without worrying about dependencies, making them portable and scalable.

In this course, you will learn to use Docker for containerization, Kubernetes for orchestration, and Prometheus and Grafana for monitoring and observability.

Docker: You’ll need Docker installed on your system (Windows, macOS, or Linux). The course will guide you on how to install it.

Kubernetes: A local Kubernetes environment like Minikube or access to cloud providers like AWS/GCP for deploying Kubernetes clusters will be required.

Prometheus and Grafana: You will set up and use Prometheus and Grafana for monitoring and visualization.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.