Author: Jeff Barr

I first wrote about the T2 instances in the summer of 2014, and talked about how many workloads have a modest demand for continuous compute power and an occasional need for a lot more. This model resonated with our customers; the T2 instances are very popular and are now used to host microservices, low-latency interactive […]

Scale takes on a whole new meaning when it comes to IoT. Last year I was lucky enough to tour a gigantic factory that had, on average, one environment sensor per square meter. The sensors measured temperature, humidity, and air purity several times per second, and served as an early warning system for contaminants. I’ve […]

AWS IoT Core and AWS IoT Greengrass give you a solid foundation and programming environment for your IoT devices and applications. The nature of IoT means that an at-scale device deployment often encompasses millions or even tens of millions of devices deployed at hundreds or thousands of locations. At that scale, treating each device individually […]

Many years ago I was wandering through the University of Maryland CS Library and found a dusty old book titled What Computers Can’t Do, adjacent to its successor, What Computers Still Can’t Do. The second book was thicker, which made me realize that Computer Science was a worthwhile field to study. While preparing to write […]

Cell phones, security cameras, baby monitors, drones, webcams, dashboard cameras, and even satellites can all generate high-intensity, high-quality video streams. Homes, offices, factories, cities, streets, and highways are now host to massive numbers of cameras. They survey properties after floods and other natural disasters, increase public safety, let you know that your child is safe […]

As I have mentioned a time or two in the past, I am a strong believer in life-long learning. Technological change is coming along faster than ever and you need to do the same in order to keep your skills current. For most of my career, artificial intelligence has been an academic topic, with practical […]

AWS customers in a wide variety of industries use HAQM DynamoDB to store mission-critical data. Financial services, commerce, AdTech, IoT, and gaming applications (to name a few) make millions of requests per second to individual tables that contain hundreds of terabytes of data and trillions of items, and count on DynamoDB to return results in […]

You may already know about HAQM Aurora. Available in editions that are either MySQL-compatible or PostgreSQL-compatible, Aurora is fully-managed and automatically scales to up to 64 TB of database storage. When you create an Aurora Database Instance, you choose the desired instance size and have the option to increase read throughput using read replicas. If […]