In this blog post, we’ll explore how you can teach the DynamoDB Table resource in boto3 (and the client) to store and retrieve Python’s datetime and float objects, which they can’t do natively. We’ll also discuss why you should or shouldn’t do that.
DynamoDB allows us to store complex data structures and deeply nested objects, but this complexity isn’t free. In this post we take a look at how different Lambda configurations impact the read times from boto3. We examine how different resource con
One of the less pleasant aspects of working with AWS using Python is the fact that most IDEs aren’t able to natively support Autocomplete or IntelliSense for the AWS SDK for Python (boto3) because of the way boto3 is implemented. Today I’m goi
Many Lambda functions are written in Python and use the AWS SDK boto3. Initializing your first boto3 client or resource can take a long time after a Lambda cold start. In this article we explore how much exactly and why it’s up to 10x faster on Lamb
In this post I’ll introduce DynamoDB, a very powerful fully managed NoSQL wide-column data store in AWS. We will talk about data structures, the APIs to read and write data, indexes, as well as performance and cost considerations. In the end you wil
In this blog, we’ll look at two features in boto3/botocore that are often overlooked - Pagination and Waiters. In addition to that, we’ll explore how these are implemented under the hood.