从 AWS Lambda 调用中保存数据的最佳方法？

Question

I use AWS Simple Email Services (SES) for email. I've configured SES to save incoming email to an S3 bucket, which triggers an AWS Lambda function. This function reads the new object and forwards the object contents to an alternate email address.

I'd like to log some basic info. from my AWS Lambda function during invocation -- who the email is from, to whom it was sent, if it contained any links, etc.

Ideally I'd save this info. to a database, but since AWS Lambda functions are costly (relatively so to other AWS ops.), I'd like to do this as efficiently as possible.

I was thinking I could issue an HTTPS GET request to a private endpoint with a query-string containing the info. I want logged. Since I could fire my request async. at the outset and continue processing, I thought this might be a cheap and efficient approach.

Is this a good method? Are there any alternatives?

My Lambda function fires irregularly so despite Lambda functions being kept alive for 10 minutes or so post-firing, it seems a database connection is likely slow and costly since AWS charges per 100ms of usage.

Since I could conceivable get thousands of emails/month, ensuring my Lambda function is efficient is paramount to cost. I maintain 100s of domain names so my numbers aren't exaggerated. Thanks in advance.

Answer 1

I do not think that thousands per emails per month should be a problem, these cloud services have been developed with scalability in mind and can go way beyond the numbers you are suggesting.

In terms of persisting, I cannot really understand - lack of logs, metrics - why your db connection would be slow. From the moment you use AWS, it will use its own internal infrastructure so speeds will be high and not something you should be worrying about.

I am not an expert on billing but from what you are describing, it seems like using lambdas + S3 + dynamoDB is highly optimised for your use case.

From the type of data you are describing (email data) it doesn't seem that you would have neither a memory issue (lambdas have mem constraints which can be a pain) or an IO bottleneck. If you can share more details on your memory used during invocation and the time taken that would be great. Also how much data you store on each lambda invocation.

I think you could store jsonified strings of your email data in dynamodb easily, it should be pretty seamless and not that costly.

Have not used (SES) but you could put a trigger on DynamoDB whenever you store a record, in case you want to follow up with another lambda. You could combine S3 + dynamoDB. When you store a record, simply upload a file containing the record to a new S3 key and update the row in DynamoDB with a pointer to the new S3 object

DynamoDB + S3

Answer 2

You can now persist data using AWS EFS.