Testing is one of the most critical activities in software development and using third-party APIs like DynamoDB in your code comes with challenges when writing tests. Today, I’ll show you how you can start writing tests for code that accesses DynamoDB from Python.
DynamoDB streams help you respond to changes in your tables, which is commonly used to create aggregations or trigger other workflows once data is updated. Getting a near-real-time view into these Streams can also be helpful during developing or debugging
DynamoDB supports complex data types like lists. In this post we take a look at different ways to interact with lists. We will use Python to write code that may be used in a data access layer to manipulate items with list attributes.
I will show you how to implement pessimistic locking using Python with DynamoDB as our backend. Before we start, we’ll review the basics and discuss some of the design criteria we’re looking for. In an earlier post, I outlined to you how to im
Counters can be used in all kinds of situations like gathering statistics about websites or billing systems. In this post we’ll dive deep into ways you can use DynamoDB to implement atomic and accurate counters using examples in Python.
While Infrastructure-as-Code slowly becomes omnipresent, many of the communicated advantages of the approach stay mostly unrealized. Sure, code style checks (linting) and even automated documentation get more common every month. But one of the cornerstone