複数の API 実装 (Mule アプリケーション) を持つ API は、CloudHub と顧客がホストする Mule ランタイムの両方にデプロイされます。すべてのデプロイメントは、MuleSoft がホストするコントロール プレーンによって管理されます。一定期間 API クライアントが API 実装を呼び出さなかったとしても、API 実装が API リクエストに応答しなくなった場合は常にアラートをトリガーする必要があります。 API 実装を監視するためのアラートを作成するための最も効果的なすぐに使用できるソリューションは何ですか?
正解:A
In scenarios where multiple API implementations are deployed across different environments (CloudHub and customer-hosted runtimes), Anypoint Functional Monitoring is the most effective tool to monitor API availability and trigger alerts when an API implementation becomes unresponsive. Here's how it works: * Using Anypoint Functional Monitoring: * Functional Monitoring allows you to create monitors that periodically invoke specific endpoints on the API implementations, simulating a client request. This helps ensure that the API is responsive, even if no actual client requests are being made. * If an API implementation does not respond as expected, Functional Monitoring can generate alerts, notifying administrators of potential issues. * Why Option A is Correct: * By setting up Functional Monitoring to automatically invoke the API endpoints at regular intervals, you ensure continuous monitoring and alerting capabilities, which are especially useful for APIs that may experience periods of low or no traffic. This approach provides a proactive solution, allowing you to identify and address issues before actual users are impacted. * Explanation of Incorrect Options: * Option B suggests modifying client applications to trigger alerts, which is not a best practice as it shifts monitoring responsibility to clients, reducing control and consistency. * Option C involves handling exceptions within client applications, which does not address situations where no clients are making requests. * Option D proposes a Worker Not Responding alert in Runtime Manager, which is limited to worker-specific alerts and may not reliably monitor the API's actual responsiveness to requests. ReferencesFor further information, refer to MuleSoft documentation on Anypoint Functional Monitoring setup and usage for API availability monitoring.