My AWS Lambda function needs to access data that is updated every hour and is going to be called very often via api. What is the most efficient and least expensive way?

The data that is already updated every hour is configured through Lambda batch, but I don't know where to store this data.

How about putting the latest data in the latest bucket of Amazon S3 every time? Or, even if there is a problem with the hot partition, how about storing it in Amazon DynamoDB because it is simple access? I considered the gateway cache, which is updated every hour, but at a cost. Please advise.

CodePudding user response：

As you have mentioned "least expensive way" I will suggest to use Amazon DynamoDB because 25GB of space is free (always not free tier). Now if your data size is more than 25GB then also you can use DynamoDB over other services like RDS or S3 that comes at a cost.

CodePudding user response：

The simplest option would be to use AWS Systems Manager Parameter Store. It is secured via IAM and is a great way to share parameters between AWS Lambda functions.

If your data is too big to store in Parameter Store, then consider storing it in Amazon S3. It is easily accessible and low-cost.

If there are problems using these services, then you could look at using databases but there is insufficient information in your question make an appropriate recommendation.