Docker and Kubernetes are popular names in the world of software development and deployment. Docker offers container platforms and the two words Docker and Containers have almost become synonymous lately. Containers have revolutionized software deployment by being lightweight and working very similar to virtual machines minus the OS to make the software run. They have made it possible to build portable and secure apps in an agile manner where companies get to save plenty in terms of costs and infrastructure. Dockers being used by tech giants such as Microsoft and Google will continue to remain in trend.
While it’s easy to orchestrate a handful of containers and applications at once, the challenge grows exponentially when the numbers reach hundreds or thousands. This is where Kubernetes and container orchestration comes in place to help in management, automation, and scaling of applications that are containerized. Although from a general perspective Docker and Kubernetes appear similar, they operate at different layers and can also be used together. They can be thought of as analogous to an airport. If containers are aircraft, Kubernetes is the air traffic control.
It’s important to understand that Docker and Kubernetes are not an either-or choice. It’s ideal to think of them as two significant components of a bigger system. Learning them together has numerous benefits.
Professionals who are already working on one will gain a significant edge knowing both Docker and Kubernetes.
Both Docker and Kubernetes benefit organizations in the following ways:
Docker has continued to be at the forefront of Container technology and it has helped Kubernetes establish itself as a go-to container orchestration engine. The growth of Kubernetes has been fuelled with Docker helping make containers easier to use. According to the survey conducted by Datadog, at the beginning of April 2018, 23.4 percent of its customers had adopted Docker.
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Get to know about Containers and understand the difference between VMs and Containers.
Get to know about the concepts that differentiate Monolithic from Microservices applications.
Learn to install Docker and understand all the concepts around Docker Architecture and Components.
Learn to work with Docker Registry for pulling and pushing images and explore the other features.
Get a clear understanding of the concepts surrounding Docker Volumes as well as Docker Networks.
Learn to use Docker Orchestration Services which include Docker Compose as well as Docker Swarm.
Learn to install Kubernetes, understand its role and benefits.
Gain knowledge about the difference between Docker Swarm and Kubernetes and deploying applications.
Gain knowledge to work with Kubernetes in order to create Pods, deployments as well as services.
There are no prerequisites for attending this course. But it would be beneficial for you to have the following knowledge:
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Learning Objectives:
This module provides an introduction to containers and the benefits of using containers as opposed to VMs. You will learn use cases of Containers and Docker, and be able to describe Docker architecture and its components.
Sub-Topics:
Hands-on workshop description:
Learn various Docker Commands for creating, stopping, removing and copying containers.
Learning Objectives:
In this module, you will explore the prerequisites for installing Dockers. Learn to install & configure Docker toolbox on Windows OS, and install & configure Docker on Amazon EC2. Validate the Docker installation. Get deeper into Docker Architecture and components.
Hands-on workshop description:
Installing & Configuring Dockers.
Learning Objectives:
Create images by starting a container using a base image and interactively make changes to it, create a Docker file that will let Docker build the image automatically.Learn to create and work with Docker Volumes.Understand the three types of Docker Network – Local, Host and Bridge.
Sub-Topics:
Hands-on workshop description:
Pulling and pushing images. Creating own images using Dockerfile and push to Docker Hub, Creating Automated Build using Docker Hub, Creating Docker Volumes and copying the data , Creating Bridge Network for container communication.
Learning Objectives:
Learn to create Public and Private Repositories using Docker Hub. You will also be able to share your image using Docker Hub, deploy your own Docker images registry and set up your own automated build.
Hands-on workshop description:
Learning Objectives:
Get an overview of Docker Compose & Swarm. Learn to build High Availability Structures needed for critical applications, and understand how to filter and schedule nodes for optimal deployment
Hands-On Workshop Description:
Learning Objectives:
Learn what / why Kubernetes is required and study Kubernetes Use Cases.
Sub Topics:
Hands-on workshop description: No Hands-On
Learning Objectives:
Understand the key components of Kubernetes Cluster- Master, Nodes and AddOns.
Sub Topics:
Hands-on workshop description: No Hands-On
Learning Objectives:
Gain knowledge on installing & Kubernetes Cluster on Virtualbox, AWS Cloud and Google Cloud Platforms.
Sub Topics:
Hands-on workshop description:
Learning Objectives:
Here you will understand about Pods and how to deploy an app using kubectl commands.
Sub Topics:
Hands-on workshop description:
Learning Objectives:
This module helps you to learn what is a Service, how to scale up and down the application replicas, provide updates to the application and autoscaling containers.
Sub Topics:
Hands-on workshop description:
Learning Objectives:
On completing this module, you will be able to deploy both stateless applications and stateful applications. You will also be able to scale the stateful sets and provide rolling updates.
Sub-Topics:
Hands-On Workshop Description:
Covers projects on Dockers & Kubernetes.
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This training is designed to help you become an expert in Docker and Kubernetes technology. You will start from scratch and learn about the basic fundamentals. You will learn about Dockers and containers, Installing and working with Docker Components, about Kubernetes, Installing and Working with Kubernetes components with Case Studies. In the present market, an engineer proficient with Docker and Kubernetes can earn an average salary of upto $135,319. This is the right time to invest in learning Docker and Kubernetes since organizations are rapidly moving towards containerization technology and there is a huge demand for Docker and Kubernetes engineers.
You will:
By the end of this course, you would have gained knowledge on how to work with the Dockers and Kubernetes platform.
Basics of Virtualization, Linux , Network and use of using Remote access tools is essential for this training.
Yes, KnowledgeHut offers this training online.
On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.
Your instructors are Docker and Kubernetes experts who have years of industry experience.
Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: https://www.knowledgehut.com/refund
KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.
In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.
Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor
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