Master the art of building, packaging and running container-based applications with an open container ecosystem, and learn how to deploy those applications at scale using Kubernetes.
The course is designed for Software Developers, Quality Assurance Engineers, and anyone else looking to build a solid foundation on container technologies and understand the open container ecosystem as a whole.
In this course, you will learn about the open container ecosystem and how to run, operate and troubleshoot containers. You will also learn how to build container images and use tools such as Buildah, Podman and Skopeo. You will become familiar with the basics of container networking and explore different storage concepts. The course will also teach you how to build and deploy a microservices stack with Docker Compose as well as how to deploy containers in production. It will also discuss Kubernetes key concepts and walk you through the process of writing Kubernetes native pipelines with Tekton.
Upon completion of this course, you should be able to package and deliver applications as containers, master the art of writing Dockerfiles, and use containers technology for quality assurance to deploy container-based workloads in development, QA and production environments with technologies such as Docker Compose, Kubernetes, GitOps, etc.
This is one of the best online courses I have attended - very slowly and clearly explained. Very nice.
What I liked most about the course was the material, the exercises, and the simulations.
I liked how much of the Kubernetes components it covered. I also really liked the hands-on labs, they were clear, and easy to follow, and all the setup scripts worked without any troubleshooting needed.
This course covered many topics in Kubernetes, and has improved my knowledge of Kubernetes.
To best benefit from this course you should have:
To successfully complete the lab exercises in this course, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Detailed instructions to set up your lab environment are provided in the course.
If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider, or if the cloud provider’s terms and conditions change.
Feel free to request a quote for corporate in-house programs or our upcoming open events. Write to us at info@meritglobaltraining.com
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We revert you shortly
Should your enquiry be urgent, please mail us at info@meritglobaltraining.com or call us +971 50 205 6399 / +91 80885 11977 / +1 863-250-1577