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For many software teams, documentation is written after features are built and design decisions have already been made. When that happens, questions about how a feature is understood or used often don’t surface until much later. A little over one year ago, our team began to recognize this pattern in our own work. Features generally functioned as intended but were difficult to use or explain. Documentation lagged behind releases.

Third-party data now drives forecasting, analytics, and machine learning across modern cloud teams. But acquiring it has long meant custom contracts, delayed access, and limited visibility into how data costs scale inside analytics workflows. AWS Data Exchange reduces much of that friction by integrating third-party data into the AWS ecosystem.

In software development, load testing plays a critical role in ensuring that applications perform optimally under any imaginable load condition. To do this, developers subject applications to several types of load tests, including scalability, spike, endurance, and stress testing. The ultimate goal of these performance tests is to pinpoint potential bottlenecks and ensure the reliability of the overall system where the software application runs before reaching production.

Imagine you want to launch an application without first building and managing the servers that run it. You write the code, pick how it should run, and then let a platform take care of the rest. That’s the core promise of AWS Elastic Beanstalk. In this snackable guide, you’ll understand AWS Elastic Beanstalk well enough to decide if it belongs in your AWS architecture.

During the October 20th AWS outage, not one Control Plane customer went down. Here’s the architecture that made that possible, and how to assess your own.