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DevOps - Coggle Diagram

- - - - Soft resources
      - Hard Resources
  - - - Latancy
      - Throughput
      - Utilization
    - - Short-term capacity planning (Auomatically)
      - Long-term capacity planning (Manual)
    - - Real user monitoring
      - Synthetic Monitoring
  - - - Challenges
        
        Collating related item by time
        
        Collating the related item by context
        
        Handling big volume of monitored data
  - - - Search & Analytics Engine
      - NoSql Database
    - - Server side data
        processing pipeline
    - - Visualization of Data
- - - - Stages
        
        1 - Commit Stage
        
        2 - Automated acceptance gate
        
        3- Subsequent Test Stage
        
        4- Preparing to release
    - - Create
      - Build
      - Test
      - Deploy
    - - Only build your binary once
      - Deply the same way to every env
      - Smoke Test your deployment
      - Deploy into a copy of production
  - - - Keep two version of production
        env 1) Green 2) Blue
      - Challenge is with DB :: If schema differs than
        it takes time to migrate
      - Set-up :question:
    - - Involves rolling out a new version of an application to a subset of the production servers to get
        fast feedback :star:
  - - - K8 Master Server Node
        
        component
        
        etcd
        
        Globally available configuration store
        
        distributed key value store
        
        Configured to span across multiple nodes
        
        Kube-apiserver
        
        Main management point
        
        user configure workload
        
        implement restful api
        
        Kube Controller Manager
        
        It manages different controller
      - Nodes
      - CLI
      - UI