If you’ve worked in a development or planning role for a complex system, you are aware that diagram as code brings huge benefits to the product owner and architect. Expressing system documentation as code allows for quick iteration, clearer collaboration, better version control and automation, all of which are critical when dealing with dynamic systems at scale.

Making smart architecture decisions early can dramatically impact your cloud computing costs. Let’s explore how AWS EC2 cost estimation tools can help you build cost-effective solutions from day one.

Early Days

In the late 1990s, I became involved in an experiment that included the deployment of an ML pipeline to process what at the time was considered to be a tremendous volume of time-stamped messages. The goal of this international effort, initiated by DARPA for the United States and finished by the Defense Threat Reduction Agency, was to demonstrate the feasibility of using ML algorithms to perform automated detection and location of nuclear events (distinguishing them from natural and non-nuclear man-made events). The experiment ultimately led to key insights into the methods of automated multi-sensor data fusion and anomaly detection.