Troubleshooting Slow Data Ingestion into Amazon S3 with Enhanced Networking

Answer - C.

Trying to upload a single large object might not be feasible and hence it is better to split the object across multiple instances and carry out the data ingestion process.

Options A, B and D are incorrect since this is a limitation on the instance side.

Please refer to the following link wherein the 'm4' series of instances, the enhanced networking is supported only for "m4.16xlarge" instance.

For more information on Amazon S3,please refer to the below link.

The issue with slow data ingestion into Amazon S3 using an m4.large instance with Enhanced Networking enabled can be due to several factors, such as network bandwidth, I/O operations, or CPU capacity.

Option A suggests using an AWS Direct Connect connection between S3 and the instance. This option can provide a dedicated network connection between the m4.large instance and Amazon S3, bypassing the internet and reducing latency. Direct Connect can offer greater bandwidth capacity and consistent network performance, which can help improve data ingestion speeds. This option can be useful when transferring large amounts of data frequently or when network performance is critical.

Option B suggests creating a VPC endpoint from the instance to S3. A VPC endpoint is a private connection between a VPC and a service, such as Amazon S3. By creating a VPC endpoint, the data can be transferred directly from the m4.large instance to S3 without going through the internet gateway. This option can improve network security and reduce network latency, which can help improve data ingestion speeds.

Option C suggests using m4.16xlarge instances for data ingestion. This option can be useful when the m4.large instance's CPU and I/O operations are not enough to handle the data ingestion workload. The m4.16xlarge instance has higher CPU capacity and network bandwidth, which can help improve data ingestion speeds. However, using larger instances can increase costs and may not be necessary if other factors, such as network latency or I/O operations, are the bottleneck.

Option D suggests creating a VPN connection from the instance to S3. This option can provide a secure and encrypted connection between the m4.large instance and S3. However, VPN connections can introduce network overhead and increase latency, which can negatively impact data ingestion speeds. Moreover, VPN connections use the internet, which can be a bottleneck for data transfer.

Overall, options A and B are the most suitable options for improving data ingestion speeds into Amazon S3 using an m4.large instance with Enhanced Networking enabled. Option C can be considered if the instance's CPU and I/O operations are the bottleneck. Option D may not be the most effective option, as it can introduce network overhead and increase latency.