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.
AWS Config checks all your resources for compliance. With 260 managed rules, it covers a lot of ground. But if you need additional checks until now, you had to write a complex Lambda function. With the new “Custom Policy” type, it is possible to use declarative Guard rules. Custom Policy rules use less lines of code and are so much easier to read.
Amazon Ion is one of the data serialization formats you can use when exporting data from DynamoDB to S3. Recently, I tried to select data from one of these exports with Athena after using a Glue Crawler to create the schema and table. It didn’t work, and I got a weird error message. In this post, I’ll show you how to fix that problem. If you’re not familiar with Ion yet, check out my recent blog post introducing it for more details.
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.
