Anti-patterns in Cloud Adoption

During cloud adoption and implementation, you may encounter some anti-patterns. If not identified and avoided, these patterns may lead to low migration efficiency, service interruptions, unnecessary costs, and increased maintenance difficulties. The following are some common anti-patterns in the cloud adoption and implementation phase:

• Non-automated deployment

  Enterprises rely on manual processes for code and cloud resource configuration and deployment. This results in low efficiency and high error rates.

  Optimization suggestion: Use automated configuration and deployment tools, such as Terraform and CI/CD, to improve the efficiency and accuracy of cloud resource deployment.

• No mock cutover

  Insufficient mock cutovers are performed, leading to unexpected issues during the real cutover.

  Optimization suggestion: Perform comprehensive mock cutovers in various near-real environments before the real cutover. This helps detect and resolve problems in a timely manner, and ensure that the system can run properly after the cutover.

• Insufficient testing

  Insufficient tests are performed before service system cutover. Potential functional, performance, and security problems are not detected and resolved in a timely manner, causing poor user experience after the service system goes live.

  Optimization suggestion: Perform thorough function, performance, availability, and security tests before the cutover to ensure that each function module can run properly in the cloud environment.

• Untagged cloud resources

  Cloud resources are not correctly tagged, so they are difficult to query, monitor, and manage.

  Optimization suggestion: Tag all created cloud resources to facilitate subsequent O&M management and cost reduction.

It is crucial to identify and avoid these anti-patterns. Meanwhile, more importance should be attached to the best practices and success stories in the industry. In this way, the cloud migration solution can be implemented more scientifically, the efficiency of cloud migration and utilization can be improved, the advantages of the cloud platform can be better leveraged, and the value of cloud technologies can be brought into full play.