Your organization is running a MySQL workload in Cloud SQL. Suddenly you see a degradation in database performance. You need to identify the root cause of the performance degradation. What should you do?
I vaguely recall that Cloud Debugger is more for inspecting code rather than diagnosing performance issues. Not sure if that's the right approach here.
I'm a little confused - is Error Reporting really the best option here? I thought that was more for handling application errors, not general performance issues. I'll have to double-check the differences between the tools.
I'm feeling pretty confident about this one. Monitoring the core system metrics is the logical first step, and then I can use Logs Explorer to analyze any relevant log data. Should be able to get to the root cause quickly.
Okay, I think the key is to start with the high-level metrics in Cloud Monitoring, but then dive deeper into the logs if I can't pinpoint the issue. Gotta be thorough here.
This seems like a good opportunity to use the tools I've learned about. I think I'll start with Cloud Monitoring to get a high-level view, and then dig into the logs if I need more detailed information.
I'm a bit confused on the best approach here. Should I be looking at logs, metrics, or something else? I'll need to review the options carefully before deciding.
Ah, this is a classic performance problem. I'd go with option B - Cloud Monitoring is the way to go here. It'll give me a clear picture of the resource utilization and help me identify the bottleneck.
Hmm, I'm not too sure about this one. I think I'll try using Logs Explorer to see if I can find any clues in the log data that might point to the root cause.
This seems like a straightforward performance issue, so I'd start by looking at the system metrics in Cloud Monitoring. That should give me a good overview of what's going on.
B) seems like the most obvious choice here. Monitoring the key metrics like CPU, memory, and storage utilization can definitely help identify the root cause.
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