Articles tagged with "python"

Amazon Ion is a data serialization format that was open-sourced by Amazon in 2016 and is used internally at the company. Over time it has also been introduced into some AWS services and is the data format that services like the Quantum Ledger Database (QLDB) use. It has also started to appear in more commonly used services, so I think it’s worth taking a closer look at. This article will explain what Ion is, its benefits, and how you can use it in Python.

Lambda destinations enable you to respond to successful or failed asynchronous invocations in a way that wasn’t possible before the feature was added. I explain what this feature allows you to do and show you how to use it.

Apache Airflow doesn’t only have a cool name; it’s also a powerful workflow orchestration tool that you can use as Managed Workflows for Apache Airflow (MWAA) on AWS. This post will explain which problems the service solves, how you can get started, and the most important concepts you need to understand.

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.

Concurrent access to the same items in DynamoDB can lead to consistency problems. In this post I explain why that is and introduce optimistic locking as a technique to combat this issue.

There are many components under the Glue umbrella that can fit together into a cohesive big picture. In this introduction to Glue I’m explaining my version of this big picture.

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.

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 configurations can improve the read time of the same item by more than a factor of 12.