Long Live Docker Swarm! [webinar]
This webinar provides an introduction to Docker Swarm and a demonstration of creating a stack. It covers the differences between Swarm and Kubernetes, and how to switch nodes between orchestrators. Attendees will gain insight into the future of orchestration and how to use Docker Swarm to their advantage. ▼
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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]
This webinar, titled "Long Live Docker Swarm!", provides an overview of Docker Swarm and its capabilities. Participants will learn about the basics of Docker Swarm, including how to create a stack and switch nodes between orchestrators. The webinar will also provide an introduction to Kubernetes and discuss the future of orchestration at Mirantis. The agenda for the webinar includes: Introduction & Housekeeping, Agenda, Brief Intro to Docker Swarm, Demo: Creating a Stack, Phase 1: Begin with Swarm, Phase 2: Swarm or Kubernetes?, Demo: Switching Nodes Between Orchestrator, and The Future of Orchestration at Mirantis.
[Applications]
After this course, participants can apply the knowledge they have gained to create and manage Docker Swarm stacks. They can also use the information to decide between Swarm and Kubernetes for their orchestration needs. Additionally, they can use the demo to switch nodes between orchestrators. Finally, they can stay up to date with the latest developments in orchestration at Mirantis.
[Career Paths]
1. DevOps Engineer: DevOps Engineers are responsible for managing the development, testing, and deployment of applications and services. They are also responsible for automating processes and ensuring that systems are secure and reliable. As Docker Swarm continues to grow in popularity, DevOps Engineers will need to be well-versed in its capabilities and be able to use it to its fullest potential.
2. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-based solutions. As Docker Swarm is a cloud-native technology, Cloud Architects will need to be familiar with its capabilities and be able to use it to create and manage cloud-based applications and services.
3. Container Engineer: Container Engineers are responsible for managing and deploying containerized applications and services. As Docker Swarm is a container orchestration platform, Container Engineers will need to be familiar with its capabilities and be able to use it to deploy and manage containerized applications and services.
4. Kubernetes Engineer: Kubernetes Engineers are responsible for managing and deploying applications and services using the Kubernetes platform. As Docker Swarm and Kubernetes are both popular container orchestration platforms, Kubernetes Engineers will need to be familiar with both and be able to use them to deploy and manage applications and services.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree is becoming increasingly popular as the demand for skilled computer 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 management, network security, and web development. This degree is becoming increasingly popular as businesses rely more and more on technology to stay competitive.
3. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. It covers topics such as machine learning, data mining, and predictive analytics. This degree is becoming increasingly popular as businesses look to leverage data to gain insights and make better decisions.
4. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems. It covers topics such as natural language processing, computer vision, and robotics. This degree is becoming increasingly popular as businesses look to leverage AI to automate processes and gain a competitive edge.
Course Provider
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