Articles tagged with "level-300"

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.

The project steampipe uses a fast programing language and an intelligent caching approach outrunning prowler speed tenfold. While I tried to workaround prowlers limits I learned a lot about optimizing.

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.

You have probably seen architectures that use DynamoDB streams to perform change data capture on tables and Lambda functions to process those changes before. Today, we’ll do a deep dive into the underlying technology and explore how we can configure and tweak this configuration to our advantage.

This point explains how to work around Glue’s problem of selective amnesia when creating Dynamic Frames from the Glue data catalog.

In this post I’ll show you how to trigger your Lambda functions in intervals smaller than a minute using StepFunctions and the CDK.