Hi there, I’m Maurice 👋

Interacting with Cloud services is rarely a tactile experience. You write some code, run some command or click a button on a screen and things happen. Today we’re going to change that. We’ll write a plugin for the Elgato Stream Deck to trigger an AWS Lambda function on demand with a customizable event. In case you haven’t heard of it, the Stream Deck is basically a set of buttons with tiny screens behind them that you can customize to do your bidding through plugins. Today, we’ll write a small plugin that invokes a Lambda function of our choosing, thereby allowing us to do pretty much anything in AWS. ...

Occasionally, you’ll do something that you think you’ve done dozens of times before and are then surprised it no longer works. While setting up a log delivery mechanism for Splunk, I had one of these experiences again. (Feel free to replace relearning with forgetting in the headline.) Splunk’s preferred method of ingesting log data from AWS is the SQS-based S3 input. In a nutshell, you ensure that all logs end up in an S3 bucket. That bucket is configured to send all object create events to an SNS topic (so that multiple systems can subscribe), to which an SQS queue is subscribed. Splunk subsequently consumes the object create events from the queue and ingests the corresponding objects from S3. ...

At some point the Touchpad on my converted Chromebook failed. I explain how I fixed it.

Lambda@Edge functions are executed in multiple regions around the world, but which ones exactly? In this post we’ll find out together, which will enable us to pre-create log groups and other resources for them.

Like many organizations, tecRacer uses HubSpot as a CRM. Integrating Hubspot with other (internal) systems enables smooth workflows for everyone involved. Since I recently built a custom integration, I thought it may be helpful to explain how to set up a secure interface with AWS.

Opportunity cost is an important economic concept, but sometimes we need to ignore it to learn something. Join me in using a variety of services and tools to figure out what is using my KMS keys and if I can safely delete them.

Links and References for my Talk at the AWS Community Day 2024 in Sofia As soon as the recording is available, it will appear here Contact If you want to get in touch, send me an e-mail hi [ät] mauricebrg.com. Presentation The slides are available as a PDF here. Links Blog Post: Using undocumented AWS APIs with Python Python Package that implements some undocumented APIs (Github) If you’re interested in (un)documented or non-production APIs for Security research, Datadog has an interesting article here ...

Business insights are frequently generated from aggregated data, like daily sales per market segment over time. In this blog post we’ll use Apache Airflow to build a data aggregation pipeline that utilizes Amazon Athena for the heavy lifting. We’ll cover best practices that you should follow to build a production-ready system.

In a recent Developing on AWS course I was faced with an interesting question about DynamoDB. What happens if you create an item that features attributes of a global secondary index with a data type that doesn’t match the index? My intuition was wrong, let’s check out what actually happens.

The TPC-H dataset is commonly used to benchmark data warehouses or, more generally, decision support systems. It describes a typical e-commerce workload and includes benchmark queries to enable performance comparison between different data warehouses. I think the dataset is also useful to teach building different kinds of ETL or analytics workflows, so I decided to explore ways of making it available in Amazon Athena.