DOP-C02 Question 375
Select 2Your organization is running a large-scale application on AWS, and you are responsible for ensuring the reliability and performance of the deployment pipeline. The team has noticed that deployments occasionally fail due to race conditions when multiple developers push changes simultaneously. Which of the following solutions can help you address this issue effectively?
- A
Implement a deployment locking mechanism using AWS CodePipeline to serialize deployments.
- B
Enable AWS CodeBuild to automatically retry failed builds to handle race conditions.
- C
Use AWS CodePipeline's approval actions to manually approve each deployment and avoid conflicts.
- D
Adopt feature toggles in the application to decouple code deployments from feature releases.
- E
Configure canary deployments in AWS CodeDeploy to gradually release changes and reduce the impact of potential issues.
Show answer and explanation
Correct answers: A, D
Explanation
Race conditions in deployment pipelines occur when multiple developers push changes simultaneously, leading to conflicts or failed deployments. Implementing a deployment locking mechanism ensures that deployments are serialized, effectively preventing conflicts. Additionally, adopting feature toggles decouples code deployments from feature releases, reducing the dependency on deployment timing and mitigating the risks associated with race conditions. Together, these approaches provide a robust solution for the problem.
- A. Correct.
Implementing a deployment locking mechanism ensures that only one deployment occurs at a time, preventing race conditions caused by simultaneous changes. AWS CodePipeline itself does not natively support a locking mechanism, but you can implement one using a custom action or AWS Step Functions.
- B. Incorrect.
Retrying failed builds in AWS CodeBuild does not address the root cause of race conditions during simultaneous deployments. This is more of a recovery mechanism than a preventive solution.
- C. Incorrect.
While manual approval actions can prevent unwanted deployments, this approach is not scalable or efficient for addressing race conditions in automated pipelines.
- D. Correct.
Feature toggles allow for decoupling of deployments and feature releases, which can help mitigate the risk of race conditions by enabling safe rollouts of features without dependency on deployment timing.
- E. Incorrect.
Canary deployments are useful for reducing the blast radius of an issue but do not directly address the problem of race conditions during simultaneous deployments.