AWS News Blog

Jeff Barr

Author: Jeff Barr

Jeff Barr is Chief Evangelist for AWS. He started this blog in 2004 and has been writing posts just about non-stop ever since.

New- AWS IoT Device Management

and 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 is impossible. You need to be […]

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Amazon Comprehend – Continuously Trained Natural Language Processing

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 […]

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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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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 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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Amazon Elastic Container Service for Kubernetes

My colleague Deepak Singh has a lot to say about containers! We have a lot of AWS customers who run Kubernetes on AWS. In fact, according to the Cloud Native Computing Foundation, 63% of Kubernetes workloads run on AWS. While AWS is a popular place to run Kubernetes, there’s still a lot of manual configuration […]

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H1 Instances – Fast, Dense Storage for Big Data Applications

The scale of AWS and the diversity of our customer base gives us the opportunity to create EC2 instance types that are purpose-built for many different types of workloads. For example, a number of popular big data use cases depend on high-speed, sequential access to multiple terabytes of data. Our customers want to build and […]

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M5 – The Next Generation of General-Purpose EC2 Instances

I always advise new EC2 users to start with our general-purpose instances, run some stress tests, and to get a really good feel for the compute, memory, and networking profile of their application before taking a look at other instance types. With a broad selection of instances optimized for compute, memory, and storage, our customers […]

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Amazon EC2 Update – Streamlined Access to Spot Capacity, Smooth Price Changes, Instance Hibernation

EC2 Spot Instances give you access to spare compute capacity in the . Our customers use fleets of Spot Instances to power their CI/CD environments & traffic generators, host web servers & microservices, render movies, and to run many types of analytics jobs, all at prices that offer significant savings in comparison to On-Demand Instances. […]

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