What information is logged for each request made to the API in the Cloud Endpoints quickstart tutorial?
In the Cloud Endpoints quickstart tutorial, several pieces of information are logged for each request made to the API. These logs provide valuable insights into the usage and performance of the API, allowing developers to monitor and troubleshoot their applications effectively. Let's explore the information that is logged for each request in detail.
1. Request Metadata:
– Request ID: A unique identifier assigned to each request made to the API. It helps in tracking and correlating logs related to a specific request.
– Timestamp: The exact time when the request was received by the API.
– Protocol: The protocol used for the request, such as HTTP or HTTPS.
– Method: The HTTP method used for the request, such as GET, POST, PUT, DELETE, etc.
– Path: The path of the API endpoint that was accessed.
– User Agent: The user agent string provided by the client making the request, which can help identify the type of client (e.g., web browser, mobile device).
2. Request Payload:
– Headers: The HTTP headers included in the request, such as Content-Type, Authorization, etc. These headers provide additional information about the request or control its behavior.
– Body: The content of the request body, if applicable. This can include data sent by the client to the API, such as JSON payloads or file uploads.
3. Response Metadata:
– Status Code: The HTTP status code returned by the API to indicate the outcome of the request (e.g., 200 for success, 404 for not found, 500 for server error).
– Headers: The HTTP headers included in the response, such as Content-Type, Cache-Control, etc. These headers provide additional information about the response or control client-side caching behavior.
4. Response Payload:
– Body: The content of the response body, if applicable. This can include data sent by the API to the client, such as JSON responses or file downloads.
5. Latency and Performance Metrics:
– Latency: The time taken by the API to process the request and generate a response. This metric helps in measuring the performance of the API and identifying potential bottlenecks.
– CPU Usage: Information about the CPU usage during request processing, which can be useful for optimizing the performance of the API.
– Memory Usage: Information about the memory usage during request processing, which can help identify memory leaks or excessive memory consumption.
These logs are automatically generated and collected by Cloud Endpoints, making it easier for developers to access and analyze the information. By examining these logs, developers can gain insights into the usage patterns, identify potential issues, and optimize the performance of their APIs.
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