Maximizing Bandwidth Efficiency for On-Premises Servers
Question
You are using a 10-Gbps direct peering connection to Google together with the gsutil tool to upload files to Cloud Storage buckets from on-premises servers.
The on-premises servers are 100 milliseconds away from the Google peering point.
You notice that your uploads are not using the full 10-Gbps bandwidth available to you.
You want to optimize the bandwidth utilization of the connection.
What should you do on your on-premises servers?
Answers
Explanations
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A. B. C. D.A.
To optimize the bandwidth utilization of the 10-Gbps direct peering connection between on-premises servers and Google Cloud Storage, we need to identify the bottleneck in the current setup. The fact that the servers are 100 milliseconds away from the Google peering point is an important factor to consider.
Option A: Tune TCP parameters on the on-premises servers. TCP (Transmission Control Protocol) is the protocol used for data transmission over the Internet. By tuning TCP parameters, we can optimize the way data is transmitted between the on-premises servers and Google Cloud Storage. For example, we can adjust the TCP window size or the Maximum Segment Size (MSS) to improve performance. However, in this scenario, tuning TCP parameters may not be the best solution, as the latency of 100 milliseconds is the primary bottleneck, and tuning TCP parameters may not be enough to overcome it.
Option B: Compress files using utilities like tar to reduce the size of data being sent. Compressing files can reduce the amount of data that needs to be transmitted over the network. This can be helpful in reducing the overall transmission time, but it may not be the most effective solution in this scenario. The bottleneck is the latency, and compressing files may not help to overcome it.
Option C: Remove the -m flag from the gsutil command to enable single-threaded transfers. The -m flag in the gsutil command enables multi-threaded transfers, which can improve performance by using multiple connections to transfer data. However, in this scenario, the latency of 100 milliseconds is the bottleneck, and using multi-threaded transfers may not be the most effective solution. In fact, using single-threaded transfers may be more effective, as it reduces the overhead of managing multiple connections.
Option D: Use the perfdiag parameter in your gsutil command to enable faster performance: gsutil perfdiag gs://[BUCKET NAME]. The perfdiag parameter in the gsutil command enables diagnostic information to be collected during the transfer, which can help identify performance issues. This information can be used to optimize the transfer and improve performance. However, it may not be the most effective solution in this scenario. The bottleneck is the latency, and diagnostic information may not help to overcome it.
Therefore, the most effective solution in this scenario is to use single-threaded transfers by removing the -m flag from the gsutil command. This reduces the overhead of managing multiple connections and can help improve performance despite the high latency.
