AWS News Blog

Amazon Kinesis Video Streams – Serverless Video Ingestion and Storage for Vision-Enabled Apps

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 […]

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Welcoming Amazon Rekognition Video: Deep-Learning Based Video Recognition

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 […]

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AWS DeepLens – Get Hands-On Experience with Deep Learning With Our New Video Camera

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 […]

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Amazon SageMaker – Accelerating Machine Learning

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 […]

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S3 Select and Glacier Select – Retrieving Subsets of Objects

stores data for millions of applications used by market leaders in every industry. Many of these customers also use 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 terabytes. Data in object storage have traditionally been […]

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Amazon Neptune – A Fully Managed Graph Database Service

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 […]

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Amazon DynamoDB Update – Global Tables and On-Demand Backup

AWS customers in a wide variety of industries use 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 single-digit milliseconds. […]

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In The Works – Amazon Aurora Serverless

You may already know about . 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 your […]

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Introducing AWS Fargate – Run Containers without Managing Infrastructure

Containers are a powerful way for developers to develop, package, and deploy their applications. At AWS we have over a hundred thousand active ECS clusters and hundreds of millions of new containers started each week. That’s 400+% customer growth since 2016. Container orchestration solutions, like and Kubernetes make it easier to deploy, manage, and scale these […]

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