Guided Project: Create and Deploy Your First Kubernetes Pod
This guided project provides an introduction to Kubernetes, an open source system for containerized workloads. It walks users through the process of creating and deploying their first Kubernetes pod, allowing them to automate deployment, management, and scaling of container-based applications. The project is maintained by the Cloud Native Computing Foundation and is used by companies worldwide. ▼
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Course Feature
Cost:
Free
Provider:
ThaiMOOC
Certificate:
No Information
Language:
English
Start Date:
30th Jan, 2023
Course Overview
❗The content presented here is sourced directly from ThaiMOOC platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Kubernetes, maintained by the Cloud Native Computing Foundation , is a leading open source system for containerized workloads. Companies worldwide use Kubernetes to automate deployment, management, and scaling of container-based applications. With companies continuing to adopt containerization, Kubernetes skills are highly in demand.
This project is ideal for new and seasoned application developers and DevOps professionals. By the end of this hands-on guided project, you will have gained practical Kubernetes experience that employers value. You'll know how to create and deploy a container pod, be able to describe Kubernetes container management, and will have learned how Kubernetes handles load balancing. You will have developed a foundation in Database-as-a-Service (DBaaS) management and be familiar with common Kubernetes features and tools, such as the kubectl command line interface and imperative object configuration.
To complete the project, you will be provided with a Cloud-based IDE that already has many technologies, such as Kubernetes and Docker, preinstalled. Also, note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.
(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 introduction to Kubernetes and its container management capabilities. Participants will learn how to create and deploy a container pod, understand Kubernetes container management, and gain an understanding of how Kubernetes handles load balancing. Additionally, participants will become familiar with common Kubernetes features and tools, such as the kubectl command line interface and imperative object configuration. By the end of the course, participants will have developed a foundation in Database-as-a-Service (DBaaS) management and have the practical Kubernetes experience employers value.
[Applications]
Upon completion of this course, participants should be able to apply their knowledge of Kubernetes to create and deploy their own container pods. They should also be familiar with common Kubernetes features and tools, such as the kubectl command line interface and imperative object configuration. Additionally, they should have a foundation in Database-as-a-Service (DBaaS) management.
[Career Paths]
1. Kubernetes Engineer: Kubernetes Engineers are responsible for designing, deploying, and managing Kubernetes clusters. They must have a deep understanding of Kubernetes architecture and be able to troubleshoot and optimize Kubernetes clusters. As Kubernetes continues to gain popularity, the demand for Kubernetes Engineers is expected to grow.
2. DevOps Engineer: DevOps Engineers are responsible for automating and streamlining the development and deployment of applications. They must have a deep understanding of Kubernetes and be able to integrate it into the DevOps workflow. As companies continue to adopt DevOps, the demand for DevOps Engineers is expected to grow.
3. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-based solutions. They must have a deep understanding of Kubernetes and be able to integrate it into the cloud architecture. As companies continue to adopt cloud-based solutions, the demand for Cloud Architects is expected to grow.
4. Database Administrator: Database Administrators are responsible for managing and maintaining databases. They must have a deep understanding of Kubernetes and be able to integrate it into the database architecture. As companies continue to adopt containerized databases, the demand for Database Administrators is expected to grow.
[Education Paths]
1. Bachelor's Degree in Computer Science: A Bachelor's Degree in Computer Science is a great way to gain the skills and knowledge needed to work with Kubernetes. This degree program will provide students with a comprehensive understanding of computer science fundamentals, such as programming languages, operating systems, and software engineering. Additionally, students will learn about the latest trends in cloud computing, such as containerization and Kubernetes.
2. Master's Degree in Cloud Computing: A Master's Degree in Cloud Computing is a great way to gain the skills and knowledge needed to work with Kubernetes. This degree program will provide students with a comprehensive understanding of cloud computing fundamentals, such as distributed systems, cloud architecture, and cloud security. Additionally, students will learn about the latest trends in cloud computing, such as containerization and Kubernetes.
3. Certificate in Kubernetes: A Certificate in Kubernetes is a great way to gain the skills and knowledge needed to work with Kubernetes. This certificate program will provide students with a comprehensive understanding of Kubernetes fundamentals, such as container orchestration, deployment strategies, and security. Additionally, students will learn about the latest trends in cloud computing, such as containerization and Kubernetes.
4. Master's Degree in Data Science: A Master's Degree in Data Science is a great way to gain the skills and knowledge needed to work with Kubernetes. This degree program will provide students with a comprehensive understanding of data science fundamentals, such as machine learning, data mining, and data visualization. Additionally, students will learn about the latest trends in cloud computing, such as containerization and Kubernetes.
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1. What is Kubernetes?
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