1. Introduction
Imagine you need to generate a large report file and store it in AWS S3. As a software engineer, you must efficiently manage limited memory and network bandwidth in a distributed system. Here are 5 key benefits of using AWS S3 Multipart Upload to make this process more effective.
2. 5 Benefits
- Minimize Memory Usage
With multipart upload, there’s no need to load the entire file into memory. Instead, you can divide the file into smaller chunks and upload them gradually. This significantly reduces memory usage, especially for files larger than 100 MB.
- Optimize Network Bandwidth
Multipart upload allows you to manage the size of each chunk to fit your network bandwidth, whether it’s high or low. Smaller parts are less likely to time out or be affected by network issues, ensuring a more reliable upload process.
- Recover from Upload Failures
If a part fails during the upload process for any reason, you don’t have to start over. Simply re-upload the failed part. This ensures a more fault-tolerant upload experience and saves time.
- Improve Upload Throughput
The object parts can be uploaded independently in any order. This means you can take advantage of uploading multiple parts simultaneously, either using multi-threading or a distributed system.
- Pause and Resume Flexibly
Once a multipart upload is initiated, you can upload parts over time without worrying about the process expiring. This flexibility allows you to pause and resume the upload as needed.
3. Conclusion
These are the 5 key benefits every software engineer should know about AWS S3 Multipart Upload. If you found this helpful, feel free to share your thoughts in the comments below!