Injecting Logging Statement and Taking Application Snapshot

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

When an issue is reported in the code deployed in the production environment, developers need to diagnose the problem to identify the root cause and fix it. Diagnosing an issue can be challenging, particularly when the issue is not easily reproducible or when the system is under heavy load.

To diagnose the issue, developers may need to add additional logging statements in the code and take a snapshot of the state of running the application. This is where cloud-based tools come in handy. Among the options listed in the question, the best tools for this purpose are Cloud Logging, Cloud Monitoring, Cloud Trace, and Cloud Debugger.

Cloud Logging is a fully managed service that provides real-time log management and analysis for applications running on Google Cloud. It allows developers to store, search, analyze, monitor, and alert on log data from their applications, including custom logs. By adding additional logging statements in the code, developers can use Cloud Logging to capture logs that help identify the root cause of the issue. Cloud Logging is particularly useful for distributed systems, as it provides a centralized place to view all logs.

Cloud Monitoring is a service that provides visibility into the performance, uptime, and overall health of applications running on Google Cloud. It allows developers to monitor and alert on metrics, logs, and traces. By adding additional logging statements in the code, developers can use Cloud Monitoring to capture custom metrics that help diagnose the issue. Cloud Monitoring is particularly useful for identifying performance bottlenecks and monitoring service level objectives (SLOs).

Cloud Trace is a service that provides distributed tracing for applications running on Google Cloud. It allows developers to trace requests as they flow through different services and components, providing a detailed view of how the system is behaving. By adding additional logging statements in the code, developers can use Cloud Trace to trace the execution of specific requests and identify the source of the issue. Cloud Trace is particularly useful for identifying latency issues and understanding the end-to-end behavior of a system.

Cloud Debugger is a service that allows developers to debug production applications without stopping or disrupting them. It allows developers to set breakpoints, inspect variables, and step through code as it executes. By adding additional logging statements in the code, developers can use Cloud Debugger to capture snapshots of the state of the application at specific points in time. Cloud Debugger is particularly useful for diagnosing complex issues that require interactive debugging.

In summary, when developers need to diagnose an issue in the code deployed in the production environment, they can use Cloud Logging, Cloud Monitoring, Cloud Trace, or Cloud Debugger to add additional logging statements and capture a snapshot of the state of running the application. The choice of tool depends on the specific requirements of the situation.