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Decommission Environment

Project Statement

In IT program/project, environment creation and setup is a crucial aspect of development, operationalization, engineering, and release management activities. However, when a project(s) is discontinued or a resource is no longer needed, it is crucial to clean up the supplied resources for that project(s). This task is repetitive in nature and can be time-consuming and costly if done manually.

Solution

To address this problem, automation of cleanup of environments when these environments are no longer required is necessary to maintain release management and engineering hygiene. This ensures that the provisioned resources for a specified program(s)/project(s) are cleaned up efficiently and consistently. The solution requires an Azure account subscription, existing Azure Resource Group(s) created and comprising one or more resources, and an Azure client ID, app ID, client secret Key. By automating this task, IT program(s)/project(s) can be executed successfully, and release management and engineering hygiene can be maintained effectively.

Product Values

  • Improved efficiency: Automation of the cleanup process saves time and resources, making the process more efficient.
  • Consistency: Automation ensures that the cleanup process is consistently executed, reducing the risk of errors, and ensuring compliance with policies and regulations.
  • Cost savings: Automation can help reduce costs associated with manual cleanup processes.
  • Improved release management and engineering hygiene: Automating the cleanup process ensures that release management and engineering hygiene are maintained effectively.
  • Scalability: Automation can be scaled up for small, medium, or large IT program(s)/project(s).

Key Metrics

  • Time saved: This measures the amount of time saved by automating the cleanup process.
  • Resource utilization: This measures the efficient utilization of resources.
  • Compliance: This measures the level of compliance with policies and regulations.
  • Cost savings: This measures the cost savings achieved by automating the cleanup process.
  • Customer satisfaction: This measures the satisfaction level of customers with the automation solution.

References

Github