Step by Step Application Deployment on LKE using Helm Kubernetes on Cloud (2&2)
This course provides a step-by-step guide to deploying an application on LKE using Helm and Kubernetes on Cloud. It covers creating a Kubernetes cluster, deploying a MongoDB StatefulSet using Helm, deploying MongoExpress with a deployment and internal service, deploying an Ingress Controller using Helm and configuring a domain name, and finally deploying a sample application. The course provides a comprehensive guide to deploying an application on LKE. ▼
ADVERTISEMENT
Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
- Intro.
- Overview of what we build/deploy.
- Create Kubernetes Cluster on LKE.
- Deploy MongoDB StatefulSet using Helm.
- Deploy MongoExpress (Deployment and Internal Service).
- Deploy Ingress Controller using Helm and configure Ingress Rule.
- Understand the Request Flow through the Kubernetes Setup.
- Delete MongoDB Pods and restart - Volumes are re-attached.
- Clean up - Helm uninstall, delete Volume and Kubernetes Cluster.
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This course provides an overview of how to deploy applications on Kubernetes using Helm on the Linode Kubernetes Engine (LKE). Participants will learn how to create a Kubernetes cluster on LKE, deploy MongoDB StatefulSet using Helm, deploy MongoExpress (Deployment and Internal Service), deploy Ingress Controller using Helm and configure Ingress Rule, understand the request flow through the Kubernetes setup, delete MongoDB Pods and restart with volumes re-attached, and clean up with Helm uninstall, delete Volume and Kubernetes Cluster.
[Applications]
The application of this course can be seen in the deployment of applications on Kubernetes clusters on the Linode Kubernetes Engine (LKE). After completing this course, users will be able to deploy MongoDB StatefulSet, MongoExpress, and Ingress Controller using Helm, configure Ingress Rules, understand the request flow through the Kubernetes setup, delete MongoDB Pods and restart with volumes re-attached, and clean up by uninstalling Helm, deleting volumes, and deleting the Kubernetes cluster.
[Career Paths]
1. Cloud Engineer: Cloud Engineers are responsible for designing, deploying, and managing cloud-based systems. They must be knowledgeable in cloud computing technologies, such as Kubernetes, Helm, and LKE, and be able to develop and maintain cloud-based applications. As cloud computing continues to grow in popularity, the demand for Cloud Engineers is expected to increase.
2. DevOps Engineer: DevOps Engineers are responsible for automating the development and deployment of applications. They must be knowledgeable in cloud computing technologies, such as Kubernetes, Helm, and LKE, and be able to develop and maintain cloud-based applications. As cloud computing continues to grow in popularity, the demand for DevOps Engineers is expected to increase.
3. System Administrator: System Administrators are responsible for maintaining and managing computer systems. They must be knowledgeable in cloud computing technologies, such as Kubernetes, Helm, and LKE, and be able to develop and maintain cloud-based applications. As cloud computing continues to grow in popularity, the demand for System Administrators is expected to increase.
4. Database Administrator: Database Administrators are responsible for managing and maintaining databases. They must be knowledgeable in cloud computing technologies, such as Kubernetes, Helm, and LKE, and be able to develop and maintain cloud-based applications. As cloud computing continues to grow in popularity, the demand for Database Administrators is expected to increase.
[Education Paths]
1. Bachelor's Degree in Computer Science: This degree provides students with a comprehensive understanding of computer science fundamentals, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is ideal for those interested in developing and deploying applications on Kubernetes and other cloud platforms.
2. Master's Degree in Cloud Computing: This degree provides students with an in-depth understanding of cloud computing technologies, such as virtualization, distributed computing, and cloud security. It also covers topics such as cloud architecture, cloud storage, and cloud orchestration. This degree is ideal for those interested in deploying applications on Kubernetes and other cloud platforms.
3. Master's Degree in Data Science: This degree provides students with an understanding of data science fundamentals, such as data mining, machine learning, and data visualization. It also covers topics such as big data analytics, natural language processing, and deep learning. This degree is ideal for those interested in deploying applications on Kubernetes and other cloud platforms.
4. Doctoral Degree in Artificial Intelligence: This degree provides students with an in-depth understanding of artificial intelligence fundamentals, such as machine learning, natural language processing, and computer vision. It also covers topics such as robotics, autonomous systems, and deep learning. This degree is ideal for those interested in deploying applications on Kubernetes and other cloud platforms.
The demand for professionals with expertise in cloud computing, data science, and artificial intelligence is growing rapidly. As such, these degree paths are becoming increasingly popular and are expected to continue to grow in the coming years.
Course Provider
Provider Youtube's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Step by Step Application Deployment on LKE using Helm Kubernetes on Cloud (2&2)