AWS News Blog

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 […]

It was this time last year during re:Invent 2016 that Jeff announced the Amazon Rekognition service launch.  I was so excited about getting my hands dirty and start coding against the service to build image recognition solutions. As you may know by now, Amazon Rekognition Image is a cloud service that uses deep learning to provide […]

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 […]

Machine Learning is a pivotal technology for many startups and enterprises. Despite decades of investment and improvements, the process of developing, training, and maintaining machine learning models has still been cumbersome and ad-hoc. The process of incorporating machine learning into an application often involves a team of experts tuning and tinkering for months with inconsistent […]

Amazon Simple Storage Service (Amazon S3) stores data for millions of applications used by market leaders in every industry. Many of these customers also use Amazon Glacier for secure, durable, and extremely low-cost archival storage. With S3, I can store as many objects as I want and individual objects can be as large as 5 […]

Of all the data structures and algorithms we use to enable our modern lives, graphs are changing the world everyday. Businesses continuously create and ingest rich data with complex relationships. Yet developers are still forced to model these complex relationships in traditional databases. This leads to frustratingly complex queries with high costs and increasingly poor […]

AWS customers in a wide variety of industries use Amazon 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 Amazon 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 […]