Final Exam: Solutions for Multi-cloud Load Balancing
Cloud
| 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 aws
configure data backup in microsoft azure
configure data backup in gcp
discuss how data backup strategies work in gcp
discuss the challenges of dbar in cloud environments
discuss the history of backups, restores and disaster planning
discuss the significance of performance monitoring on-premises and in the cloud
describe the performance challenges introduced by multi-cloud environments
describe the best practices for performance monitoring on multi-cloud environments, including hybrid cloud
describe the overall role of load balancers in improving performance
discuss the concept of failover in multi-cloud, how it relates to load balancing, and how it improves reliability
monitor metrics with aws cloudwatch
demonstrate how to install, configure and test docker on ubuntu linux
describe docker engine, docker client, docker registries
define virtual load balancer and describe the benefits and challenges of using virtual load balancers -
compare and contrast various cloud-based load balancer providers
demonstrate how to configure a swarm on ubuntu linux
describe how fully managed cloud services compare to self-managed services
recognize docker objects including images, containers, volumes, networks, docker swarm, docker compose
describe docker objects including images, containers, volumes, networks, docker swarm, docker compose
describe basic and native docker load balancing scenarios, including load balancing with nginx load balancer and using swarm mode
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
describe kubernetes components and architecture focusing on their specific roles, control plane, worker node, and discuss add-ons
bootstrap a real kubernetes cluster with 4 nodes
describe kubernetes objects like pods, deployments, replicasets, daemonsets, ingress, services and how they are created and managed using a declarative versus imperative approach
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
demonstrate how to install kubernetes on an ubuntu linux based system
demonstrate network traffic management in kubernetes using network policies
define hardware load balancer and describe the benefits and challenges of using hardware load balancers
compare and contrast various hardware load balancer providers
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.
