Kubernetes Hands-On - Deploy Microservices to the AWS Cloud
28h 23m 41s
English
Paid
Kubernetes is one of the hottest topics right now, and engineers with Kubernetes skills are in big demand. Enhance your skillset with this comprehensive course!
Course Overview
This course is a prime opportunity to engage with a real Kubernetes project and elevate your skills to a professional level. Throughout the course, you'll tackle realistic project requirements, but there's no need for prior coding experience or familiarity with a specific programming language. Pre-prepared Docker images will be at your disposal, and your task is to deploy these using Kubernetes.
Microservices Architecture
The system uses a Microservice-based architecture, and during the course, we will delve into the design decisions and trade-offs essential for managing these complex systems. Although the course is not centered on designing Microservices, there will be discussions around the topic to provide context as we work on deploying a production cluster.
Analyzing System Performance
We'll also explore how developers' mistakes can affect code by analyzing the runtime performance of the cluster, offering real-world troubleshooting experience.
Course Structure
Local Development: You can complete the initial phase of the course on your local machine (PC/Mac/Laptop).
Cloud Deployment
The second phase, starting from Chapter 13, transitions to the AWS Cloud. You will need a real AWS account to proceed, wherein we will set up monitoring using the ELK/Elastic Stack and perform monitoring with Prometheus and Grafana.
AWS Elastic Kubernetes Service (EKS) and Kops
The course now supports EKS, the AWS Elastic Kubernetes Service. We also cover an alternative system called Kops, explaining the pros and cons of each method in detail.
Intended Audience
This course is designed for a diverse audience including DevOps engineers, developers, and even those new to the field. Basic knowledge of computers and some command-line experience is sufficient to get started.
Cost and AWS Account Information
An AWS account is required to work independently on the system. If you're unfamiliar with AWS, the course has you covered. However, please be aware that Amazon charges for using their services. The estimated cost is no more than 10 USD, assuming careful resource management. It’s essential to delete your Kubernetes cluster post-session to avoid additional charges. This small investment can significantly boost your career prospects.
If you prefer to avoid these costs, you can still gain a lot by watching the AWS lecture videos included in this course.
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Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.
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1h
Frequently asked questions
What are the prerequisites for enrolling in this course?
This course does not require prior coding experience or familiarity with any specific programming language. The course uses pre-prepared Docker images, so students can focus on deploying these using Kubernetes without needing to write code.
What will I build during the course?
Students will engage with a real Kubernetes project, deploying a microservices-based architecture. This includes deploying components such as the Queue, Position Simulator, Position Tracker, API Gateway, and Webapp. The course emphasizes deploying a production cluster and setting up monitoring systems in the AWS Cloud.
Who is the target audience for this course?
This course is intended for individuals looking to enhance their skills in Kubernetes, especially those interested in cloud deployment and managing microservices. It is suitable for beginners since no prior coding skills are necessary.
What specific tools or platforms will I work with?
The course uses Kubernetes for managing containerized applications and Docker for container creation. For cloud deployment, AWS services are utilized, and students will work with tools such as Minikube, ELK/Elastic Stack, Prometheus for monitoring, and kubectl for managing clusters.
What topics are not covered in this course?
While the course discusses microservices, it does not focus on designing them from scratch. The primary focus is on deploying existing microservices and managing their runtime performance rather than on software development itself.
How much time should I expect to commit to this course?
The course comprises 148 lessons, which can be completed at your own pace. Since the runtime is not specified, students should expect to commit several hours per week to fully engage with both the local development and cloud deployment phases.
How will the skills learned in this course be applicable to other careers or courses?
Skills acquired in this course, such as deploying Kubernetes clusters, managing microservices, and setting up cloud-based monitoring, are highly transferable to careers in cloud engineering, DevOps, and IT infrastructure management. These skills can also serve as a foundation for advanced courses in cloud architecture and system performance optimization.
