Final Exam: Solutions for Multi-cloud Load Balancing

Cloud 2021    |    Intermediate
  • 1 Video | 15m 32s
  • Includes Assessment
  • Earns a Badge
Final Exam: Solutions for Multi-cloud Load Balancing will test your knowledge and application of the topics presented throughout the Solutions for Multi-cloud Load Balancing track of the Skillsoft Aspire Load Balancing Multi and Hybrid Cloud Solutions Journey.

WHAT YOU WILL LEARN

  • bootstrap a real Kubernetes cluster with 4 nodes
    compare and contrast various cloud-based load balancer providers
    compare and contrast various hardware load balancer providers
    configure data backup in AWS
    configure data backup in GCP
    configure data backup in Microsoft Azure
    define hardware load balancer and describe the benefits and challenges of using hardware load balancers
    define virtual load balancer and describe the benefits and challenges of using virtual load balancers
    demonstrate how to configure a swarm on ubuntu linux
    demonstrate how to install, configure and test docker on ubuntu linux
    demonstrate how to install Kubernetes on an ubuntu linux based system
    demonstrate network traffic management in Kubernetes using network policies
    describe basic and native docker load balancing scenarios, including load balancing with nginx load balancer and using swarm mode
    describe docker engine, docker client, docker registries
    describe docker objects including images, containers, volumes, networks, docker swarm, docker compose
  • describe how fully managed cloud services compare to self-managed services
    describe how services are used to abstract a logical set of Pods and a policy by which to access them and how this pattern is also referred to as a micro-service
    describe Kubernetes components and architecture focusing on their specific roles, control plane, worker node, and discuss add-ons
    describe Kubernetes objects like pods, deployments, replicasets, daemonsets, ingress, services and how they are created and managed using a declarative versus imperative approach
    describe the best practices for performance monitoring on multi-cloud environments, including hybrid cloud
    describe the overall role of load balancers in improving performance
    describe the performance challenges introduced by multi-cloud environments
    discuss how data backup strategies work in GCP
    discuss the challenges of DBAR in cloud environments
    discuss the concept of failover in multi-cloud, how it relates to load balancing, and how it improves reliability
    discuss the history of backups, restores and disaster planning
    discuss the significance of performance monitoring on-premises and in the cloud
    monitor metrics with AWS CloudWatch
    recognize docker objects including images, containers, volumes, networks, docker swarm, docker compose
    talk about how k8s works with containers, images, and Pods to deploy containerized apps and services and how it aligns with CI/CD and microservices

IN THIS COURSE

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    Solutions for Multi-cloud Load Balancing
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