Final Exam: Solutions for Multi-cloud Load Balancing
Cloud 2021 | Intermediate
- 1 video | 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
configure data backup in AWSconfigure data backup in Microsoft Azureconfigure data backup in GCPdiscuss how data backup strategies work in GCPdiscuss the challenges of DBAR in cloud environmentsdiscuss the history of backups, restores and disaster planningdiscuss the significance of performance monitoring on-premises and in the clouddescribe the performance challenges introduced by multi-cloud environmentsdescribe the best practices for performance monitoring on multi-cloud environments, including hybrid clouddescribe the overall role of load balancers in improving performancediscuss the concept of failover in multi-cloud, how it relates to load balancing, and how it improves reliabilitymonitor metrics with AWS CloudWatchdemonstrate how to install, configure and test docker on ubuntu linuxdescribe docker engine, docker client, docker registriesdefine virtual load balancer and describe the benefits and challenges of using virtual load balancers
compare and contrast various cloud-based load balancer providersdemonstrate how to configure a swarm on ubuntu linuxdescribe how fully managed cloud services compare to self-managed servicesrecognize docker objects including images, containers, volumes, networks, docker swarm, docker composedescribe docker objects including images, containers, volumes, networks, docker swarm, docker composedescribe basic and native docker load balancing scenarios, including load balancing with nginx load balancer and using swarm modetalk about how k8s works with containers, images, and Pods to deploy containerized apps and services and how it aligns with CI/CD and microservicesdescribe Kubernetes components and architecture focusing on their specific roles, control plane, worker node, and discuss add-onsbootstrap a real Kubernetes cluster with 4 nodesdescribe Kubernetes objects like pods, deployments, replicasets, daemonsets, ingress, services and how they are created and managed using a declarative versus imperative approachdescribe 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-servicedemonstrate how to install Kubernetes on an ubuntu linux based systemdemonstrate network traffic management in Kubernetes using network policiesdefine hardware load balancer and describe the benefits and challenges of using hardware load balancerscompare and contrast various hardware load balancer providers
IN THIS COURSE
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