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Docker with Kubernetes Training in San Francisco, CA, United States

Be industry-ready by building, testing, and deploying Docker applications with Kubernetes

  • Comprehensive hands-on with Dockers & Kubernetes Components
  • Covers Docker & Kubernetes Architecture & Components and installation
  • Get introduced to deploy stateful and stateless apps on the cluster
  • Learn how to expose the app outside the cluster and to autoscale apps
  • Expertise learning with use cases of Containers and Docker
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Why learn Docker with Kubernetes?

KnowledgeHut brings you a complete guide to using Docker, a popular open source platform that allows you to deploy applications in the same way regardless of the environment by using container management.  Docker provides a lot of flexibility to both administrators and developers, which makes it a preferred platform for technology giants such as Google and Microsoft.  

You will also learn about Kubernetes, the technology created by Google to automate the deployment, scaling and management of containerized applications (like the ones Docker creates). Learn how to use Docker for shipping and running applications and about how to work with Kubernetes to automate deployment, scaling and management of containerized applications. By the end of the course you will learn how to build, test and deploy Docker applications with Kubernetes and be industry ready.  

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 plays a significant role, helping 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 work very well together. They can be thought of as analogous to an airport. If containers are aircrafts, Kubernetes is the air traffic control. 

Docker and Kubernetes are the newest trends in DevOps and are being embraced by all organizations that want to go agile and ensure hyper-productivity. Mastering these technologies will help you kick start your career in the DevOps space. 


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.

  • You can build a career as a DevOps Engineer, freelance Docker specialist and more.
  • Gives a significant boost to your market value as a professional in DevOps.
  • Will provide you up-to-date tools and strategies that will serve to guide and direct you in the execution of projects. 
  • You have an earning potential of 117K or greater according to PayScale.com.

Both Docker and Kubernetes benefit organizations in the following ways: 

  • Great savings in terms of cost and architecture without the use of additional resources.
  • Versatile tools to develop in a cloud environment.
  • Deliver results faster and in a consistent and predictable manner.
  • Docker allows packing the software with all the dependencies and Kubernetes helps to deploy and orchestrate containers.

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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What you will learn

1. VMs & Containers

Get to know about Containers and understand the difference between VMs and Containers. 

2. Monolithic & Microservices applications

Get to know about the concepts that differentiate Monolithic from Microservices applications.

3. Docker installation

Learn to install Docker and understand all the concepts around Docker Architecture and Components.

4. Docker Registry

Learn to work with Docker Registry for pulling and pushing images and explore the other features.

5. Docker Volumes & Networks

Get a clear understanding of the concepts surrounding Docker Volumes as well as Docker Networks.

6. Docker Orchestration

Learn to use Docker Orchestration Services which include Docker Compose as well as Docker Swarm.

7. Kubernetes

Learn to install Kubernetes, understand its role and benefits. 

8. Docker Swarm & Kubernetes

Gain knowledge of the difference between Docker Swarm and Kubernetes and deploying applications. 

9. Create with Kubernetes

Gain knowledge to work with Kubernetes in order to create Pods, deployments as well as services.

Prerequisites

There are no prerequisites for attending this course, but it would be beneficial for you to have the following knowledge: 

  • Virtualization
  • Linux & Networking Fundamentals
  • Experience with installing and configuring applications

Who Should Attend

  • Software Developers
  • IT Professionals & Architects
  • Operational Engineers

Knowledgehut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest tools and training.

Learn through Doing

Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied in the real world.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Curriculum

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:

  • Evolution of Dockers & Containers
  • Differences between VM's and Containers
  • Docker Use Cases
  • Benefits of using Containers
  • Working with Docker Commands
  • Case Study

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.

Sub-Topics:
  • Installing & Configuring Docker toolbox on Windows
  • Installing & configuring Docker in Amazon Linux EC2

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:

  • Images & Layers
  • Container Layers
  • Working with Docker Images
  • Building own Images using Dockerfile
  • Working with Docker Volumes and Docker Networking 
  • Case Study

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.

Sub-Topics:
  • Overview of Registries- Public and Private
  • Deep Dive into Docker Hub 
  • Other Public & Private Registries
  • Case Study

Hands-on workshop description: 

  • Creating Public and Private Repositories using Docker Hub
  • Share your image using Docker Hub 
  • Deploy your own Docker images registry
  • Set up your own automated build
  • Creating Organizations and teams in Docker Hub

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

Sub-Topics:
  • Overview of Docker Compose
  • Defining and running multi-container applications
  • Overview of Docker Swarm
  • Build your own Docker Swarm Cluster
  • Filtering & Scheduling Containers
  • Case Study

Hands-On Workshop Description:

  • Building multi-container applications using Docker Compose. 
  • Creating Swarm cluster and adding the worker nodes.  
  • Creating Services and scheduling nodes for optimal deployment

Learning Objectives: 

Learn what / why Kubernetes is required and study Kubernetes Use Cases. 

Sub Topics:

  • Evolution of Kubernetes
  • What is Kubernetes
  • Kubernetes Use Cases
  • Differences between Kubernetes and Docker Swarm

Hands-on workshop description: No Hands-On

Learning Objectives:

Understand the key components of Kubernetes Cluster- Master, Nodes and AddOns.

Sub Topics: 

  • Understand Kubernetes Architecture
  • Introduction to Kubernetes Master
  • Components of Kubernetes Master
  • Introduction to Node Components 

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:

  • Installing & Configuring Kubernetes locally via Minikube
  • Creating Kubernetes Cluster in Google Cloud
  • Creating Kubernetes Cluster in AWS Cloud
  • Case Study

Hands-on workshop description: 

  • Creating 2 VM's in Virtual Box
  • Download kubectl and minikube and install them
  • Start Minikube & Deploy sample deployment and expose to and external network, 
  • List all the nodes of the clusters
  • Stopping and deleting the cluster
  • Working with Kubernetes Dashboard

Learning Objectives: 

Here you will understand about Pods and how to deploy an app using kubectl commands.

Sub Topics:

  • Introduction to Pods
  • Pods Lifecycle
  • Working with Pods to manage multiple containers
  • Deploying Pods via Replication Controllers
  • Case Study

Hands-on workshop description: 

  • Deploy containerized application image in minikube
  • Viewing Pods and Nodes

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:

  • Overview of Services
  • Labels and Selectors
  • Scale out deployment using Replicas
  • Horizontal Pod Autoscaling
  • Load Balancing
  • Rolling Updates
  • Case Study

Hands-on workshop description: 

  • Creating a Service
  • Using Service to expose App
  • Working with labels 
  • Scale Up / Down the deployment to maximum and minimum replicas
  • Check the rollout status and rollback an update
  • Delete the services created

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:

  • Working with StatefulSet
  • Pod Management policies
  • OnDelete & Rolling Update Strategies
  • Cluster DNS
  • Persistent Volumes

Hands-On Workshop Description:

  • Deploy Stateful and Stateless applications
  • Creating Persistent Volumes

Project

Project

Covers projects on Dockers & Kubernetes.

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Faq

The Course

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: 

  • Install and configure Docker and Kubernetes
  • Work with Pulling and Pushing images, learn how to build your own images and perform Autobuild using Docker Hub 
  • Learn how to create Docker Volumes and how to create Docker Networks 
  • Deploy applications and work with Services , labels and Replica sets

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.

Finance Related

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: http://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.

The Remote Experience

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

Have More Questions?

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Docker with Kubernetes Course in San Francisco, CA

Docker with Kubernetestraining in San Francisco

San Francisco, which was found in 1776 by Spanish conquerors, is called ?Yerba Buena? which means ?Good Herb? in Spanish since herbs were grown in abundance. Now known as one of the most Cosmopolitan Cities in northern California, is a cultural and financial centre of the western United States. According to the Bureau of Labour Statistics (BLS), San Francisco added 11,000 jobs in the first half of the year 2018. With annual job growth of 3%. This cosmopolitan city provides job opportunities in the field of Marketing, and Finance.

Training Programme

Docker and Kubernetesare a form of serverless computing which enables developers to run their own serverless infrastructure anywhere. These platforms are container-native, it can enable coding in any programming language with excellent support for development and Testing, hence its simple to use and cost effective. This can also help DevOps bring their own Dockerfile, so any container can be used as a function.

The KnowledgeHutDocker with Kubernetes trainingBenefits

The Docker with Kubernetes training programme is designed for those who understand both Docker and Kubernetes are essential if you want to build and run a modern cloud infrastructure. In this 32-hour live coaching sessions, you will learn how to run applications within Linux containers, and how you can use them when architecting your own applications. You will also be trained to bundling your application in a container vs. a virtual machine which will improve Start-up time significantly. This program is the complete all-rounder in helping you to use Docker and Kubernetes for development and testing. The course mainly focused on enhancing your knowledge serverless computing and usage of the same as a testing tool.

Why should you take up Docker with Kubernetes course in San Francisco

All our tutors are from prestigious institutes with extensive experience in their fields, and of course are Microsoft certified trainers for Docker with Kubernetes. With more focus on the practical sessions, 80% of the agenda/modules are designed to handle implementations in the real world. Using the guidelines provided in the Docker with Kubernetes course in San Francisco helps you prepare for interviews with real-life examples, questionnaires, and answers. Our instructors are here to help you learn from the basics and will guide you with any challenges faced. You can also make full use of downloadable materials to help you further hone your skills.

So why wait? Register for the Docker with Kubernetes in San Francisco online Training course here.

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