An organization needs to search an application's source code to identify a potential issue. The application is distributed across multiple containers. Which Google Cloud product should the organization use?
B. Cloud Trace is supposed to be the correct answer. It's an application performance management tool. It's a Google solution for monitoring application performance. It is a distributed tracing system that helps developers debug or fix and optimize their code. Since the question talks about distributed tracing, this is the correct answer.
Cloud Monitoring on the other hand is not correct because it's an operations-focused tool
That doesn't make sense, like you said, it's an application performance management tool. It even says it primary use is to collect latency data and to inspect performance bottlenecks. https://cloud.google.com/trace/
Whereas cloud logging integrates with cloud tracing, error reporting and cloud monitoring and with the help of these 3 you can find potential issues and not just performance bottlenecks.
A. Google Cloud Console, specifically the Code Search feature in Google Cloud Source Repositories, can be used to search an application's source code in Google Cloud. The Code Search feature allows you to search across all your source code repositories, including code stored in containers, to quickly find and identify potential issues.
he correct answer is D. Cloud Logging because it allows organizations to search, analyze, and monitor logs from multiple containers, helping them identify issues in the application's source code by aggregating logs from various Google Cloud services.
Why Not the Other Options?
A. Google Cloud Console – The Cloud Console is the UI for managing Google Cloud services, but it does not provide deep log analysis or debugging capabilities.
B. Cloud Trace – Cloud Trace is used for performance analysis and latency tracking, not for searching an application’s source code for issues.
C. Cloud Monitoring – Cloud Monitoring is designed for tracking system health, metrics, and alerts, not for inspecting source code logs.
Why Cloud Logging (Explanation):
It allows you to search, analyze, and troubleshoot logs from applications, including those running across multiple containers.
Logs from containers (e.g., Kubernetes Pods) are automatically ingested and stored in Google Cloud Logging.
You can use advanced filtering and querying to identify potential issues in the application’s source code or runtime.
Why not the others?
A. Google Cloud Console: The console is an interface for managing Google Cloud resources but does not provide the necessary tools to search application source code or logs.
B. Cloud Trace: This service is used for latency analysis and identifying performance bottlenecks, not for searching through source code or logs.
C. Cloud Monitoring: It provides insights into the health and performance of resources but does not enable searching through application logs or source code.
D: Cloud Logging is a Google Cloud service that aggregates and manages logs from various services, applications, and infrastructure, including those distributed across multiple containers (such as those running in Google Kubernetes Engine or Compute Engine).
Cloud Trace enables you to monitor, analyze, and optimize application performance by providing detailed insights into request latencies and their propagation through your application's components.
it is similar to App Insights in Azure.
Cloud Logging is a Google Cloud product that allows organizations to store, search, analyze, and monitor logs from various sources, including containers. By configuring the appropriate logging options, the organization can capture logs from the containers and then search the logs to identify potential issues within the application's source code.
Therefore, option D (Cloud Logging) is the suitable Google Cloud product for searching an application's source code distributed across multiple containers.
D is more appropriate here.
B. Cloud Trace : used for analysis of overall performance trace, latency of service or app.
C. Cloud Monitoring: used for overall cloud monitoring of cloud.
D. Cloud Logging: is correct to debug an app module and find about cause of issue.
Cloud Logging is a centralized logging service that collects logs from various sources across your Google Cloud Platform (GCP) infrastructure. It provides a searchable and indexed store for logs, enabling you to analyze and troubleshoot issues.
In this scenario, the organization needs to search an application's source code to identify a potential issue. Since the application is distributed across multiple containers, Cloud Logging is the most suitable choice. It can collect logs from containers and other sources, making it easier to identify the source of the issue.
Use Cloud Logging for monitoring individual events and understanding application behavior at specific points in time.
Use Cloud Trace when you need to understand the flow of requests across your distributed application and diagnose performance issues.
D is the correct answer ,
Cloud Logging is the Google Cloud product that allows organizations to search and analyze log data, including logs from distributed applications running across multiple containers. It provides a centralized location to view, filter, and search logs, making it suitable for identifying potential issues in an application's source code. You can use it to track and troubleshoot issues efficiently across your distributed environment. It's like having a detective tool that helps you find clues about what's happening inside your containers.
Cloud Trace does not collect or store source code. Cloud Trace only collects latency data and metadata about the application's traces.
Cloud Logging can be used to search the source code of a distributed application to identify a potential issue. Therefore D.
D. Cloud Logging
Cloud Logging is a Google Cloud product that collects and stores logs from applications and infrastructure. It provides a unified view of logs from all sources, making it easy to search and analyze logs to identify potential issues.
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