Final Exam: Advanced Kubernetes Concepts and Practices

WHAT YOU WILL LEARN

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  identify what Kubernetes is, provide its history, and provide context for why it is so useful
  

  identify several key features of Kubernetes
  

  describe the YAML templating language
  

  compare and contrast the difference between imperative and declarative cluster management
  

  introduce Kubernetes objects and explain their purpose
  

  identify what a pod is, and explain its crucial role in Kubernetes
  

  identify the phases of a pod's life and describe a pod's lifecycle
  

  identify what a Namespace is in Kubernetes and understand its role
  

  identify what a ReplicaSet is in Kubernetes and understand its role
  

  recognize what a Service is in Kubernetes, what they are used for, and how they relate Deployments
  

  define what a cluster and nodes are and understand the motivation behind clustering
  

  explain some of the classical challenges associated with clustering and how Kubernetes helps us with them
  

  explain how Kubernetes was designed for distributed computing and that it is a clustering software
  

  explain how it is important to be able to place pods on different nodes throughout the cluster and how that is related to high availability and reliability
  

  explain what a Secret is in Kubernetes and why it is useful
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  configure a Kubernetes cluster
  

  run a Kubernetes deployment
  

  use Kubectl to run commands against Kubernetes clusters
  

  configure liveness and readiness probes for containers
  

  setup autoscaling on a Kubernetes cluster
  

  describe package management and why it is important for Kubernetes applications
  

  describe Kubernetes "YAML" manifests and how they are used
  

  describe Azure Kubernetes Service (AKS) and how it managed for continuous delivery
  

  install the Helm CLI from source or pre-built binary releases
  

  install a Helm chart in your Kubernetes cluster
  

  use Fluentd to collect log information in your Kubernetes application
  

  monitor your Kubernetes application with Elasticsearch
  

  identify what should be monitored in Kubernetes and the benefits
  

  describe the purpose of application logging and monitoring
  

  describe cloud monitoring and how it changed the nature of logging and monitoring