
Fundamentals of Docker and Kubernetes for NET Developers





.NET developers can learn the fundamentals of Docker and Kubernetes to enhance their development efforts, such as using Docker Compose to support SSL and a multi-project solution with a database.▼
Course Feature
Cost:
Free Trial
Provider:
Pluralsight
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Pluralsight platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [April 29th, 2023]
This course, Fundamentals of Docker and Kubernetes for .NET Developers, provides an introduction to Docker and Kubernetes and how they can be used in .NET development efforts. Participants will learn how to use public Docker images to simplify installation of dependent services, containerize .NET applications, and set them up inside Docker Compose with support for SSL on websites. Additionally, participants will learn how to prepare solutions for deployment within a Kubernetes environment. By the end of the course, participants will have the skills and knowledge of Docker and Kubernetes needed to apply them in their own .NET projects and solutions.
[Applications]
Upon completion of this course, participants should be able to apply Docker and Kubernetes to their .NET projects and solutions. They should be able to use public Docker images to simplify installation of dependent services, containerize their .NET applications, and set them up inside Docker Compose with support for SSL. Additionally, they should be able to prepare their solutions for deployment within a Kubernetes environment.
[Career Paths]
1. Docker and Kubernetes Developer: Docker and Kubernetes Developers are responsible for developing, deploying, and managing applications using Docker and Kubernetes. They must have a strong understanding of the technologies and be able to troubleshoot any issues that arise. This role is becoming increasingly important as more organizations are embracing containerization and cloud-native technologies.
2. DevOps Engineer: DevOps Engineers are responsible for automating the deployment and management of applications using Docker and Kubernetes. They must have a strong understanding of the technologies and be able to troubleshoot any issues that arise. This role is becoming increasingly important as more organizations are embracing containerization and cloud-native technologies.
3. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-native architectures using Docker and Kubernetes. They must have a strong understanding of the technologies and be able to troubleshoot any issues that arise. This role is becoming increasingly important as more organizations are embracing containerization and cloud-native technologies.
4. System Administrator: System Administrators are responsible for managing and maintaining the systems that run Docker and Kubernetes. They must have a strong understanding of the technologies and be able to troubleshoot any issues that arise. This role is becoming increasingly important as more organizations are embracing containerization and cloud-native technologies.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is becoming increasingly popular as the demand for software engineers and data scientists continues to grow.
2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database design, network security, and web development. This degree path is becoming increasingly popular as businesses continue to rely on technology to improve their operations.
3. Master of Science in Computer Science: This degree path focuses on advanced topics in computer science, such as distributed systems, computer graphics, and machine learning. It also covers topics such as artificial intelligence, data mining, and software engineering. This degree path is becoming increasingly popular as the demand for software engineers and data scientists continues to grow.
4. Master of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as systems analysis, database design, network security, and web development. This degree path is becoming increasingly popular as businesses continue to rely on technology to improve their operations.
Course Provider
