Description:
Container orchestration is an essential DevOps practice for managing containers in diversified environments. It provides portability and scalability by orchestrating containerized application management in multi-cloud environments.
In this course, you'll start by examining cloud application-level orchestration, the orchestration layer, and the container orchestration tools for virtual machine and container allocation. You'll then outline the architectures used in multi-cloud and multi-cluster environments and cloud orchestration reference systems used for TOSCA-complaint container cluster federation.
Next, you'll explore orchestration in managing multi-cloud environments and container orchestration in implementing CI/CD pipelines. You'll implement a pool of Docker hosts into a single virtual server and set up container clusters using Amazon Elastic Container Service and Fargate. Lastly, you'll deploy Azure Kubernetes Service clusters, use Kubernetes Cluster Autoscaler, and create multi-cloud Docker clusters with Docker Swarm.
Target Audience:
Duration: 00:58
Description:
An aspiring cloud engineer needs to learn how to build upon DevOps architecture design fundamentals to formulate robust and sound container clustering strategies.
In this course, you'll recall the concept of clustering and outline the different cluster architectures for failover and load balancing support. You'll outline what comprises a clustering topology, physical and virtual clusters, and enterprise application cluster management. You'll then name clustered environment resource managers, application containerization types, and containerized cluster implementation solutions.
Next, you'll examine data center cluster virtualization and investigate hybrid cloud cluster architectures for multi and hybrid cloud solution delivery. You'll explore clustering in Docker, Kubernetes, and Docker Swarm. Lastly, you'll set up single control-plane Kubernetes clusters, Docker Swarm clusters for high availability, and high-performance compute node clusters in Amazon EC2.
Target Audience:
Duration: 01:00