Containerization with Docker Training


Docker is an open source containerization engine, which automates the packaging, shipping, and deployment of any software applications that are represented as lightweight, portable, and self-sufficient containers, that will run virtually anywhere.

In this training you will learn docker and Docker-inspired containerization movement which is the next big thing happening in  cloud IT era.

You will also learn Kubernetes which is a tool for orchestrating and managing Docker containers.

  • bullets9 Completely hands on and project driven training
  • bullets9 Labs are created on your machine – you do it yourself with our trainer’s guidance
  • bullets9 If your system is not capable enough to run lab, lab servers can be provided as separate arrangements
  • bullets9 All sessions are recorded and are given for you to download and watch repeatedly
  • bullets9 You get access to a learning management system which is prepopulated with huge library of study materials which include PPTs, previous class recordings, quizzes and practice exams to help you prepare for real certification exams and track your training progress.
  • bullets9 On successful completion of your training and passing the online exam from LMS at the end will award you with a certificate of completion.
  • bullets9 You can discuss your career questions directly with our experienced faculty, even before you join or register for the course
  • bullets9 Industry Experienced Trainer – Theory can be taught by anyone, but real training comes from knowing real experiences

Syllabus

a)      Difference between Containerization and Virtualization.

b)      Introduction to Docker

c)       Installing Docker Engine & understanding Docker setup.

d)      Working with Docker Registry

e)      Handling Docker containers (Step-by-step building Docker container)

f)       Overview of Docker syntax & commands.

g)      Brief overview of Docker Image Management

h)      Dockerfiles & how to build custom docker image.

i)        Best Practices for writing Docker file.

j)        Understanding Docker Hub.

k)      Docker Networking

l)        Understanding Services in Containers.

m)    Sharing Data with Containers.

n)      Building a private Docker Infrastructure

o)      Securing Docker Containers.

p)      Orchestration of Docker Containers using Docker Compose.

q)      Cluster Management using Docker Swarm

r)       Debugging Containers.

s)       Docker & Devops.

t)       Brief Overview of Microservices.

u)      Basics of Kubernetes .


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Q.What is Kubernetes?

Kubernetes, at its basic level, is a system for managing containerized applications across a cluster of nodes. In many ways, Kubernetes was designed to address the disconnect between the way that modern, clustered infrastructure is designed, and some of the assumptions that most applications and services have about their environments.

Q. Does Docker run on Linux, macOS, and Windows?

You can run both Linux and Windows programs and excutables in Docker containers. The Docker platform runs natively on Linux (on x84-64, ARM and many other CPU architectures) and on Windows (x86-64).

Q. How is Docker different from a normal virtual machine?

Docker originally used LinuX Containers (LXC), but later switched to runC (formerly known as libcontainer), which runs in the same operating system as its host. This allows it to share a lot of the host operating system resources. Also, it uses a layered filesystem (AuFS) and manages networking.

AuFS is a layered file system, so you can have a read only part and a write part which are merged together. One could have the common parts of the operating system as read only (and shared amongst all of your containers) and then give each container its own mount for writing.

So, let’s say you have a 1 GB container image; if you wanted to use a full VM, you would need to have 1 GB times x number of VMs you want. With Docker and AuFS you can share the bulk of the 1 GB between all the containers and if you have 1000 containers you still might only have a little over 1 GB of space for the containers OS (assuming they are all running the same OS image).

A full virtualized system gets its own set of resources allocated to it, and does minimal sharing. You get more isolation, but it is much heavier (requires more resources). With Docker you get less isolation, but the containers are lightweight (require fewer resources). So you could easily run thousands of containers on a host, and it won’t even blink. Try doing that with Xen, and unless you have a really big host, I don’t think it is possible.

A full virtualized system usually takes minutes to start, whereas Docker/LXC/runC containers take seconds, and often even less than a second.

There are pros and cons for each type of virtualized system. If you want full isolation with guaranteed resources, a full VM is the way to go. If you just want to isolate processes from each other and want to run a ton of them on a reasonably sized host, then Docker/LXC/runC seems to be the way to go.

Q.How does Kubernetes relate to Docker?

When referring to “Docker,” we’re specifically talking about using the Docker container image format and Docker Engine to run Docker images (as opposed to Docker Inc., the company that has popularized these concepts). These Docker containers are then managed by Kubernetes.
For any other queries please call +91-8049202039.

Corporate Training

Unlock Your Team's Potential with Study9

This course is designed to teach you about managing application containers, using Kubernetes.

Mastering highly resilient and scalable infrastructure management is very important, because the modern expectation is that your favorite sites will be up 24/7, and that they will roll out new features frequently and without disruption of the service. Achieving this requires tools that allow you to ensure speed of development, infrastructure stability and ability to scale. Microservices architecture aims to break your application in smaller pieces and make this possible. Containers like docker enable microservice philosophy with lightweight runtime environments for applications.

Kubernetes is an open source orchestration system for container based distributed applications. Originally created by Google based on principles from its internal orchestration system (e.g Borg), Kubernetes is now developed on GitHub, it provides several level of fault-tolerance, scalability and useful primitives that go beyond the single container concept.

Lesson 1 – Introduction to Microservices

  • Learn how 12-factor apps and the microservices design pattern make modern applications easier to deploy and maintain.

Lesson 2 – Introduction to Docker

  • Learn history of docker
  • Installation
  • Understanding architecture
  • Deploying docker containers
  • Managing lifecycle of docker containers

Lesson 3 – Building the Containers with Docker

  • Use Docker to build container images that package an application and its dependencies for deployment on a single machine.

Lesson 4 – Kubernetes Concepts

  • Understanding Use Case
  • Understanding Architecture
  • Understanding Components

Lesson 5 – Kubernetes Implementation

  • Installing Kubernetes on a 4 node VM cluster
  • Deploying apps with docker on kubernetes
  • Managing launched instance’s life cycle
  • Setting up an interface on kubernets (cockpit)

Lesson 6 – Managing docker at scale

  • Scaling up and down on kubernetes Manually
  • Implementing Autoscaling on Kubernetes

Lesson 7 – Kubernetes ecosystem

  • Understanding differences between Kubernetes and PaaS (Openshift)
  • Understanding tools and products based on Kubernetes

Lesson 8 – Openshift

  • Implementing a minimal Openshift environment locally
  • Application Management on Openshift

Lesson 9 – Kubernetes Coding

  • Deployments through code
  • Replication Controller through code
  • Pods through code
  • Multi-container pods through code

Lesson 10 – Sample Application on Kubernetes

  • Deploy and Manage an example real world application on Kubernetes

Projects:

  1. Implementing a 4 VM cluster of Kubernetes
  2. Implementing Minimal Openshift
  3. Deploy & Manage Applications on Kubernetes and Openshift
  4. Scaling containers with docker on Kubernetes

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    • Online Self Paced Training (SPT) with Videos and Documents
    • Online Instructor Led Training (ILT)
    • Weekend classroom training (call +91-8049202039)

Study9 provides a robust job market focused Kubernetes training. Our Kubernetes course is designed with the right mix of basic and advanced topics to get one started in the domain and enable a person to get a good job in this competitive market. Our Kubernetes trainers are experienced professionals with hands on knowledge of Kubernetes projects. The Kubernetes course content is designed with keeping the current job market’s demands in mind.Our Kubernetes training course is value for money and tailor made for our students.

About Study9 Training Method


The Study9 Kubernetes training courses are online/classroom training courses. The online Kubernetes training is given using advanced training softwares to make the students comfortable with the online training. The student and teacher can talk over VOIP software, they can share each others screens, share Kubernetes course contents and concerns during the class through chat window and even can see each other using Webcams. The time tested proven online Kubernetes training methodologies adopted by study9 are of the most advanced ones in India. The student will feel at ease with the Kubernetes training mode. And we are so confident on that, we offer a moneyback if the student is not satisfied with first Kubernetes Training class. The cloud based Kubernetes training course contents are accessible from anywhere in the world. Study9 provides access for each student to an online Learning Management System that holds all the slides and videos that are part of the Kubernetes training courses. The students can access them from their Laptop, Mobile, Tablets etc. The students will also give Kubernetes training exams on this Learning Management System and our expert Kubernetes trainers will rate their papers and provide certifications on successful completion of these Kubernetes training exams. The best part of this online Kubernetes training approach is that it does not require one to waste time by travelling to a particular Kubernetes training center. And the timings are flexible so that if someday the student has problems in taking the morning Kubernetes training class he/she can fix an alternate time in the evening in discussion with Kubernetes trainer. On need basis our Kubernetes trainers can take a class in late night as well. On request basis missed Kubernetes training class sessions can even be given as video lectures to the student for them to go through to be prepared for the next class.

Schedule: Weekdays (1 hr /day), Weekends (2.5 hrs /day) and Fast Track options available

 

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