Kubernetes is a powerful open-source system, initially developed by Google, for managing containerized applications in a clustered environment. It aims to provide better ways of managing related, distributed components and services across varied infrastructure. Kubernetes, at its basic level, is a system for running and coordinating containerized applications across a cluster of machines. It is a platform designed to completely manage the life cycle of containerized applications and services using methods that provide predictability, scalability, and high availability.
Kubernetes - Exeliq
Why Exeliq Kubernetes
Experienced Teachers
Learn from The Exeliq’s experienced data science instructors who are dedicated to teaching data analytics.
Jumpstart your Career
Learn the most sought-after tools and techniques in the industry to help jumpstart your data analyst career.
Working as Professionals
This course was designed for the busy lives of working professionals with a part-time schedule and recorded lectures.
Build a Series of Miniprojects
Gain hands-on experience applying the tools employers value to real-world data sets. All powered by a 100-node cluster.
Live Lectures
Live lectures allow you to ask your instructor questions and interact with your classmates. Registered students can find their demo live lectures.
Small Class Sizes
Small class sizes ensure you have plenty of access to your instructor and can receive personalized feedback on your progress.
Prerequisites
- Good knowledge of commands Linux distributions (ubuntu,fedora,centos)
- Knowledge knowledge in Python ,shell scritping
- Knowledge in microservices
- Knowledge in RDBMS mysql
- Knowledge in basic networking
Target Audience
This class is for you if:
- Want to learn how the web commncation in spider web.
- Want to learn and gain experience containerization and orchestration
- Have experience in linux system administor and want to enhance knowledge
- Have experience in basic Devops engineers and want make career in devops orchestration
- Developer who can contribute using orchestration methods
Syllabus
Virtualization
1. Introduction to Virtualization
2. Introduction to containers
3. Virtualizion vs Containerized Architecture
Docker
1. Introduction to Docker
2. Docker Architecture
3. Docker Components
4. Installation of Docker
5. Most widely used docker commands
Docker Registry Setup
1. Deploy a registry server
2. Basic configuration
3. Run an externally-accessible registry
4. Use An Intermediate Certificate
5. Support for Let’s Encrypt
6. Run the registry as a service
7. Load balancing considerations
8. Important/Required HTTP-Headers
9. Restricting access
10. Deploy your registry using a Compose file
11. Considerations for air-gapped registries
Dockerfile
1. What is Dockerfile?
2. Why Dockerfile?
3. Create image with Dockerfile
Intro To Kubernetes
1. Container Orchestration
2. History of Orchestration tools
3. Kubernetes architecture
4. Kubernetes Components
5. Kubernetes concepts
Kubernetes Cluster Setup
1. Develeper / local Kubernetes
2. Cloud Agnostic Installation
3. KUBEADM
4. KOPS
Self-Hosted Kubernetes Cluster
1. Single Master multi-node
2. Provisioning Pod Network Routes
3. Smoke Testing
4. Kubernetes as a Service
5. AKS
6. EKS
Learning Outcomes
Upon completion of this course, you will be able to:
- Understand benifits of virtulization and containerization
- Learn how to convert single comuputing into multi computing system through virtuabox virtualization and docker contianerization
- Learn how to develop an orchestration load balanced and high availability
- Learn orchestrate though automated deployment methods
- Learn how to orchestrate hybrid containers on cetralized and distributed models
- Learn how to depoy basic Python based microservices and deploy on application server
- Gain Kubernetes knowledge on premise and cloud environment tthough various techniques
- Gain Knowledge on Airflow scheduling system through containerization
Testimonials
The data science skills I sharpened at The Data Incubator helped me analyze diversity in STEM education, model SaaS stock prices, and compare industry growth rates.
Christian Templeton, Google
From day one I was getting my hands dirty working with data using industry-relevant tools. Having completed the program I’m now better equipped to manage engineering and product teams.
Michelle Miller, Hack Reactor
Their heavy focus on applied learning meant that I was working on real data and solving real problems right from the start.
David Kwon, Yelp
A few of our 250+ Hiring
and Training Partners
Frequently Asked Questions
Who is this course designed for?
This course is designed for anyone who would like to learn the essentials of data science. Students will gain hands-on experience working with some of the most in-demand big data technologies and leave ready to kickstart their data science careers.
When is the next session? How can I join?
You can find the dates of upcoming sessions and register via The Exeliq’s Eventbrite page.
What is the approximate time commitment for this course?
Our Foundations course includes four hours of lectures each week. You’ll also want to allot extra time for reviewing lectures and working on the associated projects; we generally recommend setting aside at least four additional hours per week for this, but it’s up to you how much time you’d like to put in.
Does this class offer job search support?
As Foundations is intended to add a set of skills for students who are currently employed full time, we do not offer placement or job search support for this course.