Anti-patterns in Survey and Evaluation
During cloud migration survey, there might be some anti-patterns. If not identified and avoided, these can affect the survey's effectiveness and accuracy. This can lead to poor decisions and cloud migration plans. The following are some typical anti-patterns in cloud survey and evaluation:
- Incorrect survey method
Sending complex survey forms at the start can dampen the provider's willingness to cooperate, lowering survey efficiency and the quality of results.
Suggestion: Use a scientific research method that starts simple and gets more detailed over time, with ongoing improvements. For example, collect data from CMDB, identify gaps using existing documents, and streamline the research process for efficiency.
- Incomprehensive business survey
Only the technical survey and evaluation are concerned, while the business requirements and user scenarios are ignored.
Suggestion: Conduct in-depth business survey and analyze user scenarios to ensure that cloud migration can meet business requirements and improve user experience.
- Inadequate evaluation
Only one single metric (such as cost or performance) is considered, while other important factors are ignored.
Suggestion: Establish a comprehensive evaluation system, covering various aspects, including cost, performance, security, scalability, and maintainability.
- Underestimated migration complexity
Cloud migration was wrongly considered as just a simple technology migration, overlooking application structure, data dependencies, and their effect on business. This led to many issues after the migration.
Suggestion: Thoroughly analyze internal and external associations, identify strong and weak connections, and evaluate risks and impacts. The results serve as the foundation for subsequent batch planning and solution switching, minimizing potential problems and impacts.
By identifying and avoiding these anti-patterns, cloud migration survey and evaluation can be performed more efficiently and accurately, providing powerful support for enterprises in making informed decisions and designing solutions.
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