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 nodescompare and contrast various cloud-based load balancer providerscompare and contrast various hardware load balancer providersconfigure data backup in AWSconfigure data backup in GCPconfigure data backup in Microsoft Azuredefine hardware load balancer and describe the benefits and challenges of using hardware load balancersdefine virtual load balancer and describe the benefits and challenges of using virtual load balancersdemonstrate how to configure a swarm on ubuntu linuxdemonstrate how to install, configure and test docker on ubuntu linuxdemonstrate how to install Kubernetes on an ubuntu linux based systemdemonstrate network traffic management in Kubernetes using network policiesdescribe basic and native docker load balancing scenarios, including load balancing with nginx load balancer and using swarm modedescribe docker engine, docker client, docker registriesdescribe docker objects including images, containers, volumes, networks, docker swarm, docker compose
describe how fully managed cloud services compare to self-managed servicesdescribe 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-servicedescribe Kubernetes components and architecture focusing on their specific roles, control plane, worker node, and discuss add-onsdescribe Kubernetes objects like pods, deployments, replicasets, daemonsets, ingress, services and how they are created and managed using a declarative versus imperative approachdescribe the best practices for performance monitoring on multi-cloud environments, including hybrid clouddescribe the overall role of load balancers in improving performancedescribe the performance challenges introduced by multi-cloud environmentsdiscuss how data backup strategies work in GCPdiscuss the challenges of DBAR in cloud environmentsdiscuss the concept of failover in multi-cloud, how it relates to load balancing, and how it improves reliabilitydiscuss the history of backups, restores and disaster planningdiscuss the significance of performance monitoring on-premises and in the cloudmonitor metrics with AWS CloudWatchrecognize docker objects including images, containers, volumes, networks, docker swarm, docker composetalk 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
1.Solutions for Multi-cloud Load Balancing33sUP NEXT
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