AJ Stuyvenberg

AJ Stuyvenberg is a software engineer and technical writer whose work centers on distributed data systems, software performance, and observability. A Staff Engineer at Datadog and an AWS Hero, AJ shares practical expertise through articles, talks, and resources for developers working with cloud infrastructure and serverless applications. Much of the site focuses on AWS Lambda, with guidance on cold starts, container images, function initialization, streaming responses, secrets management, and performance benchmarking.

AJ also explores architectural choices and operational practices, including API design, deployment workflows, infrastructure as code, and reliable data storage. Readers can find technical deep dives, concise feature introductions, comparisons, and hands-on examples, including a serverless image service deployment resource. Beyond software engineering, the site reflects AJ’s interests in parachuting and BASE jumping, with writing on storing related video footage and backups.

The site also offers information about AJ’s background, conference resources, talks, and ways to get in touch. Through clear explanations grounded in testing and experience, AJ helps engineers understand cloud technologies and make informed implementation decisions