Anti-patterns in Solution Design

During cloud migration solution design, you may encounter some anti-patterns. If these anti-patterns are not identified and avoided, the system performance and security may be reduced, unnecessary costs may be increased, maintenance may be difficult, and even the project may fail. The following are some common anti-patterns for cloud migration solution design:

• Improper resource configuration

  Resources are not properly configured during destination architecture design. This results in resource over-allocation or under-allocation, increasing costs or affecting performance.

  Optimization suggestion: Select proper cloud resource specifications based on business requirements and application characteristics. You can use the auto scaling policy, properly set the proportion of yearly/monthly and pay-per-use resources, periodically monitor resource usage, and continuously optimize and adjust resources.

• Single point of failure

  High availability is not considered during architecture design. As a result, key components become single points of failure. If there is a fault, the entire system cannot work properly.

  Optimization suggestion: Use redundant designs and load balancing to distribute critical application services across nodes, enhancing system reliability and availability.

• Geographical distribution of businesses not considered

  The geographical distribution of businesses is not considered during the cloud deployment architecture design, causing slow access and bad user experience.

  Optimization suggestion: Select proper regions and AZs based on user distribution to ensure that users can access the nearest application instances.

  If the traditional architecture is directly migrated to the cloud without necessary adaptation and optimization, problems such as stability and poor experience may occur.

  Optimization suggestion: Evaluate the application architecture and refactor the architecture to adapt to the cloud environment. Leverage cloud-native features to improve the availability, scalability, and performance of the architecture.

• Non-compliance with laws and regulations

  Compliance requirements for data storage and access are not considered during the cloud deployment architecture design, which may cause legal risks and data leakage.

  Optimization suggestion: Ensure that you understand the relevant laws, regulations, and compliance requirements when designing a cloud migration solution. Establish data governance and security policies to ensure that data storage, access, and processing comply with local laws and regulations.

By identifying and avoiding these anti-patterns and referring to industry best practices and success cases, you can design cloud migration solutions more scientifically, thereby better leveraging the advantages of the cloud and unleashing the power of cloud migration.