Injecting Logging Statements and Taking Snapshots of Running Application State

Correct Answer: D.

Option A is Incorrect.

Cloud logging helps in real-time management and analysis of logs.

Option B is Incorrect.

Cloud Monitoring helps to monitor the health, availability and performance of infrastructure and the configured application by producing metrics of help.

Option C is Incorrect.

Cloud Trace is an offering from Google cloud that helps find production performance bottlenecks by collecting application's latency data.

Option D is Correct.

Cloud Debugger helps to investigate the behavior of code in production.

https://cloud.google.com/logging https://cloud.google.com/monitoring https://cloud.google.com/trace https://cloud.google.com/debugger

In order to diagnose an issue in a code deployed in production environment, injecting a new logging statement and taking a snapshot of the state of running the application are some of the effective ways to determine the root cause of the problem. Here is an explanation of each option given as an answer to the question:

A. Cloud Logging: Cloud Logging is a service provided by Google Cloud Platform that enables users to store, search, and analyze logs generated by their applications and infrastructure. It allows users to collect and view logs from different sources, such as Google Cloud services, virtual machines, and custom applications. Cloud Logging provides advanced filtering, aggregation, and analysis capabilities, which can help users troubleshoot issues and monitor performance in real-time. In this case, injecting a new logging statement can be done by adding custom log entries to the application code, and the state of running the application can be observed by reviewing the logs in Cloud Logging.

B. Cloud Monitoring: Cloud Monitoring is another service provided by Google Cloud Platform that allows users to monitor the health and performance of their applications and infrastructure. It provides metrics, uptime checks, and alerts that can help users detect and diagnose issues before they impact end-users. Cloud Monitoring can also integrate with other Google Cloud services, such as Cloud Logging, to provide a comprehensive view of the system. In this case, injecting a new logging statement can be done by adding custom metrics to the application code, and the state of running the application can be observed by reviewing the metrics in Cloud Monitoring.

C. Cloud Trace: Cloud Trace is a performance analysis tool provided by Google Cloud Platform that allows users to visualize and understand the latency of their applications. It captures trace data from the application code and displays it in a timeline view, which can help users identify bottlenecks and optimize performance. In this case, injecting a new logging statement can be done by adding custom trace annotations to the application code, and the state of running the application can be observed by reviewing the trace data in Cloud Trace.

D. Cloud Debugger: Cloud Debugger is a debugging tool provided by Google Cloud Platform that allows users to inspect the state of their applications at any code location without stopping or slowing down the application. It provides a snapshot of the call stack, local variables, and expressions, which can help users identify and fix bugs quickly. In this case, injecting a new logging statement can be done by adding a breakpoint to the application code, and the state of running the application can be observed by reviewing the snapshot in Cloud Debugger.

In conclusion, all four options can help diagnose the issue, but the most appropriate solution depends on the specific needs and requirements of the situation. Cloud Logging and Cloud Monitoring are better suited for logging and metrics analysis, while Cloud Trace and Cloud Debugger are more focused on performance analysis and debugging, respectively.