Exam Professional Cloud Developer topic 1 question 250 discussion

The answer is B since GKE is integrated with Cloud Logging by default. "By default, GKE clusters are natively integrated with Cloud Logging (and Monitoring). When you create a GKE cluster, both Monitoring and Cloud Logging are enabled by default." "GKE deploys a per-node logging agent that reads container logs, adds helpful metadata, and then sends the logs to the logs router, which sends the logs to Cloud Logging and any of the Logging sink destinations that you have configured. Cloud Logging stores logs for the duration that you specify or 30 days by default. Because Cloud Logging automatically collects standard output and error logs for containerized processes, you can start viewing your logs as soon as your application is deployed." Source: https://cloud.google.com/blog/products/management-tools/using-logging-your-apps-running-kubernetes-engine

https://cloud.google.com/kubernetes-engine/docs/concepts/about-logs#logging-agent

Correct answer A. Update your application to output logs in JSON format, and add the necessary metadata to the JSON. A is correct because it’s the easiest way to get a rich format into Cloud Logging. GKE automatically forwards logs sent to stdout to Cloud Logging. As long as it has the right JSON format, Cloud Logging will ingest the rich message B is not correct because it would require a lot of extra work to replace the library, and replicate the extra information (such as pod name) that the GKE logs exporter automatically provides. C is not correct because this is only needed for pods (normally special/privileged pods) that write directly to the GKE file system. D is not correct because Cloud Logging doesn’t support ingesting CSV. https://cloud.google.com/blog/products/management-tools/using-logging-your-apps-running-kubernetes-engine https://cloud.google.com/logging/docs/structured-logging#special-payload-fields

easy way

This question is from the Google Official Example Questions, B is the correct answer because it is the easiest way.

B is correct because it’s the easiest way to get a rich format into Cloud Logging. GKE automatically forwards logs sent to stdout to Cloud Logging. As long as it has the right JSON format, Cloud Logging will ingest the rich message

Enhanced Metadata: The Cloud Logging library can automatically include valuable metadata about each request, such as request ID, user agent, and resource information. why not B. Update your application to output logs in JSON format, and add the necessary metadata to the JSON: While this is possible, it requires more manual effort to format logs and ensure all the necessary metadata is included.

I will go for B. In Google Kubernetes Engine (GKE), the standard output (stdout) of containers is automatically sent to Cloud Logging. This means that if your application in GKE prints logs to standard output, these logs will be captured and can be viewed in Cloud Logging without additional configuration. And if the logs are in JSON is better for processing. Option A is irrelevant because the logs have been sent already to cloud logging via standar output.

since we need to update the application, the best solution between A, B and C is A.

B for me: we're looking for the simplest method and I feel it's easier to configure the existing library to output JSON and include some context metadata rather than changing every log statement to use Cloud Logging library.

The key here is "use the simplest method to accomplish this...", using Cloud logging library is a very simple and straight forward solution. If the app is running on the single and multiple VMs in a instance group, then installing the cloud logging agent must be the correct answer. This environment is GKE cluster and separate some normal VM workflow.

to log request metadata https://cloud.google.com/logging/docs/reference/libraries#write_request_logs

took my exam yesterday (01-03-2023) and this question was there

When you write logs from your service or job, they will be picked up automatically by Cloud Logging so long as the logs are written to any of these locations: Standard output (stdout) or standard error (stderr) streams Any files under the /var/log directory syslog (/dev/log) Logs written using Cloud Logging client libraries, which are available for many popular languages https://cloud.google.com/run/docs/logging#container-logs

Option D, installing the Fluent Bit agent on each of your GKE nodes, is not the most straightforward method for exporting logs to Cloud Logging, as it requires manual configuration and management of the Fluent Bit agent. While Fluent Bit can be used to collect and forward logs to Cloud Logging, it is typically used for more complex logging scenarios where custom log processing is required. Using the Cloud Logging library, as described in Option A, is a simpler and more direct method for exporting logs to Cloud Logging, as it eliminates the need to manage an additional log agent and provides a more integrated solution for logging in a GKE environment.

https://cloud.google.com/blog/products/management-tools/using-logging-your-apps-running-kubernetes-engine

https://cloud.google.com/run/docs/logging#container-logs