Kubernetes Hands-On - Deploy Microservices to the AWS Cloud from Udemy

Kubernetes is one of the hottest topics right now, and engineers with Kubernetes skills are in big demand.

Get those skills with this course. It's is a great chance to work on a real Kubernetes project, and to get yourself to a high professional standard on real projects.

All the way through the course you'll be working on realistic requirements - but you don't need to be a coder or know any particular programming language - I've prepared for you a set of Docker images, and your job is to use Kubernetes to get these images running.

The system is a Microservice-based architecture, and along the way, we'll look at design decisions and trade-offs you need to make when managing these complex systems. Note the course isn't about how to design Microservices (although we'll certainly be talking about that); the development work is done and we need to get the system running on a production cluster.

We'll also discover that the developers have made some bad mistakes in their code, by analyzing the run time performance of the cluster.

You can do the first part of the course on your local development computer (PC/Mac/Laptop). The second part (from Chapter 13 onwards) moves to the cloud. You'll use a real AWS account, and we go-ahead to set up monitoring with the ELK/Elastic Stack and monitor with Prometheus and Grafana.

The course now supports EKS, the AWS Elastic Kubernetes Service, but we also show how to use the alternative system, called Kops. The pros and cons of each are explained in detail.

I've designed this course for a wide audience - whether you're a DevOps engineer, a developer, or if you're quite new to the whole field, I'll explain everything along the way. Just some basic knowledge of working with computers, and maybe a bit of command-line experience will suffice.

You will need an AWS account for a part of the course if you want to work on the system yourself. If you're new to AWS then don't worry, I've got you covered -but Amazon will charge you for running the system (as with all/most cloud providers). Expect to pay no more than around 10USD for this (this is a safe overestimate), but you are expected to manage this spend yourself and you must delete your Kubernetes cluster at the end of your session. Don't let that put you off, it's a great investment.

You can absolutely just watch the AWS videos if you'd prefer not to incur these costs - you will still learn plenty.

As always, I'm here to answer questions and I aim to respond within 48 hours.

Good luck.

What's inside

Learning objectives

Deploy containers to a kubernetes cluster
Run kubernetes in aws using either eks or kops
Monitor a live kubernetes cluster using prometheus and grafana
Analyse system-wide logs using the elk stack (elasticstack); kibana and elasticsearch
Handle alerts in a kubernetes cluster by notifying slack channels
Understand how requests and limits work in kubernetes
Use kubernetes horizontal pod autoscaling

Configure ingress control on a live kubernetes deployment
Understand kubernetes statefulsets
Integrate kubernetes with a continuous deployment system (cd)
Use helm to manage charts and to dynamically update your kubernetes yaml
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Deploy containers to a kubernetes cluster
Run kubernetes in aws using either eks or kops
Monitor a live kubernetes cluster using prometheus and grafana
Analyse system-wide logs using the elk stack (elasticstack); kibana and elasticsearch
Handle alerts in a kubernetes cluster by notifying slack channels
Understand how requests and limits work in kubernetes
Use kubernetes horizontal pod autoscaling
Configure ingress control on a live kubernetes deployment
Understand kubernetes statefulsets
Integrate kubernetes with a continuous deployment system (cd)
Use helm to manage charts and to dynamically update your kubernetes yaml
Show more
Show less

Syllabus

Introduction

Introduction to Kubernetes Microservices course

Code for the course

Support for Apple M1 ,M2 users

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

This course empowers learners with high-demand Kubernetes skills, making them highly sought-after in various industries

Taught by experienced instructors with excellent reputations in the Kubernetes field

Provides hands-on learning through the deployment of a real Kubernetes project

No prior coding or programming experience is needed, making it suitable for learners with varying backgrounds

Explores common mistakes made by developers and provides insights into performance analysis

Students can experience running Kubernetes both locally and in the cloud using real-world tools such as AWS

Reviews summary

Kubernetes deployment course

Learners say this practical course does a great job covering Kubernetes. Instructors are very knowledgeable and provide real-world examples that will prepare learners for deployment in a business environment.

Instructors are very knowledgeable and engaging.

"Instructors style of teaching is very good and is very knowledgeable."

Covers practical real-world use cases.

"Covers variety of real world scenarios which will be useful on the job."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Kubernetes Hands-On - Deploy Microservices to the AWS Cloud with these activities:

Review Docker concepts

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Before diving into Kubernetes, it's helpful to review Docker concepts. This exercise will help you refresh your understanding of Docker containers and images.

Browse courses on Docker

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Review the basics of Docker containers and images
Create a simple Docker container
Push the container to a registry

Kubernetes for Beginners Tutorial

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Provide a foundation in Kubernetes basics to prepare for the course.

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Watch a video tutorial on Kubernetes concepts.
Follow a step-by-step guide to set up a local Kubernetes cluster.
Deploy a simple application to your Kubernetes cluster.

Review Kubernetes fundamentals

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Before working with Kubernetes, it's important to review the fundamentals. This exercise will help you refresh your understanding of Kubernetes architecture and concepts.

Browse courses on Kubernetes

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Review the basics of Kubernetes architecture and concepts
Explore the Kubernetes documentation
Join a Kubernetes community

Four other activities

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Show all seven activities

Deploy Kubernetes Pods and Services

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Deploying Pods and Services is fundamental to Kubernetes. This exercise will help you understand the basics of Kubernetes networking and service discovery.

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Create a Pod manifest and deploy it to Kubernetes
Create a Service manifest and deploy it to Kubernetes
Test the connectivity between Pods and Services
Explore the Kubernetes networking configuration

Configure Kubernetes Deployments

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Deployments are a key part of managing Kubernetes applications. This tutorial will guide you through the process of creating and managing Deployments, including rolling updates.

Browse courses on Deployments

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Review the basics of Kubernetes Deployments
Create a Deployment manifest and deploy it to Kubernetes
Configure a rolling update strategy
Monitor the progress of a rolling update

Build a Kubernetes cluster on AWS

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Building a Kubernetes cluster on AWS is a great way to learn about the cloud and Kubernetes. This project will guide you through the process of setting up a cluster using EKS or Kops.

Browse courses on AWS

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Choose a method for creating your cluster (EKS or Kops)
Create the cluster
Deploy a simple application to the cluster
Monitor the cluster

Kubernetes Deployment Project

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Demonstrate proficiency in Kubernetes by deploying and managing a real-world application.

Browse courses on Kubernetes Deployment

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Design and implement a Kubernetes deployment architecture for a specific application.
Deploy and configure the application on a Kubernetes cluster.
Monitor and manage the application in production.

Career center

Learners who complete Kubernetes Hands-On - Deploy Microservices to the AWS Cloud will develop knowledge and skills that may be useful to these careers:

Kubernetes Administrator

A Kubernetes Administrator is someone who manages Kubernetes clusters, ensuring that they are running smoothly and efficiently. They work with developers and other IT professionals to ensure that applications are deployed and running correctly on the cluster. This course can help you become a Kubernetes Administrator by providing you with the skills and knowledge you need to manage Kubernetes clusters. You will learn how to install and configure Kubernetes, how to deploy and manage applications on Kubernetes, and how to troubleshoot and resolve issues with Kubernetes clusters.

See salaries and explore the career path for Kubernetes Administrator

DevOps Engineer

A DevOps Engineer is someone who works with developers and operations teams to ensure that software is delivered quickly and reliably. They work on the entire software development lifecycle, from planning and development to deployment and maintenance. This course can help you become a DevOps Engineer by providing you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage applications, and how to integrate Kubernetes into your DevOps pipeline.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

A Cloud Engineer is someone who designs, builds, and manages cloud computing systems. They work with customers to understand their needs and then design and implement cloud solutions that meet those needs. This course can help you become a Cloud Engineer by providing you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage applications in the cloud, and how to integrate Kubernetes with other cloud services.

See salaries and explore the career path for Cloud Engineer

Site Reliability Engineer

A Site Reliability Engineer (SRE) is someone who is responsible for the reliability and performance of a website or application. They work with developers and operations teams to ensure that the website or application is always up and running, and that it is performing at its best. This course can help you become an SRE by providing you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage applications, and how to troubleshoot and resolve issues with Kubernetes clusters.

See salaries and explore the career path for Site Reliability Engineer

Software Architect

A Software Architect is someone who designs and oversees the development of software systems. They work with stakeholders to understand the requirements of the system, and then design and implement a system that meets those requirements. This course can help you become a Software Architect by providing you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to design and implement distributed systems, and how to use Kubernetes to manage the lifecycle of software applications.

See salaries and explore the career path for Software Architect

Systems Administrator

A Systems Administrator is someone who is responsible for the operation and maintenance of computer systems. They work with users to ensure that they have the resources they need to do their jobs, and they work with other IT professionals to ensure that the systems are running smoothly and efficiently. This course can help you become a Systems Administrator by providing you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage applications, and how to troubleshoot and resolve issues with Kubernetes clusters.

See salaries and explore the career path for Systems Administrator

Network Engineer

A Network Engineer is someone who designs, builds, and manages computer networks. They work with businesses and organizations to understand their networking needs, and then design and implement networks that meet those needs. This course can help you become a Network Engineer by providing you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage network services, and how to integrate Kubernetes with other network technologies.

See salaries and explore the career path for Network Engineer

Security Engineer

A Security Engineer is someone who designs and implements security measures to protect computer systems and data. They work with businesses and organizations to identify and mitigate security risks, and they develop and implement security solutions that meet those needs. This course can help you become a Security Engineer by providing you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage security services, and how to integrate Kubernetes with other security technologies.

See salaries and explore the career path for Security Engineer

Data Engineer

A Data Engineer is someone who designs and builds systems for storing, processing, and analyzing data. They work with businesses and organizations to understand their data needs, and then design and implement systems that meet those needs. This course may be useful for you if you want to become a Data Engineer, as it will provide you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage data services, and how to integrate Kubernetes with other data technologies.

See salaries and explore the career path for Data Engineer

Database Administrator

A Database Administrator (DBA) is someone who manages and maintains databases. They work with businesses and organizations to ensure that their databases are running smoothly and efficiently, and that the data in the databases is accurate and secure. This course may be useful for you if you want to become a DBA, as it will provide you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage database services, and how to integrate Kubernetes with other database technologies.

See salaries and explore the career path for Database Administrator

Software Developer

A Software Developer is someone who designs, develops, and maintains software applications. They work with businesses and organizations to understand their software needs, and then design and implement applications that meet those needs. This course may be useful for you if you want to become a Software Developer, as it will provide you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage software applications, and how to integrate Kubernetes with other software development technologies.

See salaries and explore the career path for Software Developer

Web Developer

A Web Developer is someone who designs and develops websites. They work with businesses and organizations to understand their website needs, and then design and implement websites that meet those needs. This course may be useful for you if you want to become a Web Developer, as it will provide you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage web applications, and how to integrate Kubernetes with other web development technologies.

See salaries and explore the career path for Web Developer

Data Scientist

A Data Scientist is someone who uses data to solve business problems. They work with businesses and organizations to understand their data needs, and then use data to develop solutions to those needs. This course may be useful for you if you want to become a Data Scientist, as it will provide you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage data science applications, and how to integrate Kubernetes with other data science technologies.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer is someone who develops and deploys machine learning models. They work with businesses and organizations to understand their machine learning needs, and then develop and deploy models that meet those needs. This course may be useful for you if you want to become a Machine Learning Engineer, as it will provide you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage machine learning applications, and how to integrate Kubernetes with other machine learning technologies.

See salaries and explore the career path for Machine Learning Engineer

Artificial Intelligence Engineer

An Artificial Intelligence Engineer is someone who develops and deploys artificial intelligence (AI) models. They work with businesses and organizations to understand their AI needs, and then develop and deploy models that meet those needs. This course may be useful for you if you want to become an AI Engineer, as it will provide you with the skills and knowledge you need to work with Kubernetes. You will learn how to use Kubernetes to deploy and manage AI applications, and how to integrate Kubernetes with other AI technologies.

See salaries and explore the career path for Artificial Intelligence Engineer