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.

AWS CodeBuild – Fully Managed Build Service

Developers typically have to set up and operate a shared build server to run continuous integration builds and tests on their source code changes. Because of the maintenance overhead, many developers avoid that and just run builds on their local machines, often leading to situations where code that works for one developer does not work […]

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AWS Snowmobile – Move Exabytes of Data to the Cloud in Weeks

Moving large amounts of on-premises data to the cloud as part of a migration effort is still more challenging than it should be! Even with high-end connections, moving petabytes or exabytes of film vaults, financial records, satellite imagery, or scientific data across the Internet can take years or decades.  On the business side, adding new […]

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AWS Snowball Edge – More Storage, Local Endpoints, Lambda Functions

A I was preparing to write this blog post I went back and read the post I wrote when we launched last year (AWS Import/Export Snowball – Transfer 1 Petabyte Per Week Using Amazon-Owned Storage Appliances) and then cataloged all of the updates that we have made since then. To recap, Snowball started out as […]

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AWS Greengrass – Ubiquitous, Real-World Computing

Computing and data processing within the confines of a data center or office is easy. You can generally count on good connectivity and a steady supply of electricity, and you have access to as much on-premises or cloud-based storage and compute power as you need. The situation is much different out in the real world. […]

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Amazon Aurora Update – PostgreSQL Compatibility

Just two years ago (it seems like yesterday), I introduced you to in my post Amazon Aurora – New Cost-Effective MySQL-Compatible Database Engine for Amazon RDS. In that post I told you how the RDS team took a fresh, unconstrained look at the relational database model and explained how they built a relational database for […]

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Amazon Rekognition – Image Detection and Recognition Powered by Deep Learning

What do you see when you look at this picture? You might simply see an animal. Maybe you see a pet, a dog, or a Golden Retriever. The association between the image and these labels is not hard-wired in to your brain. Instead, you learned the labels after seeing hundreds or thousands of examples. Operating […]

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Amazon Lex – Build Conversational Voice & Text Interfaces

While computers that talk are great, computers that listen and respond are even better! If you have used an Amazon Echo, you know how simple, useful, and powerful the Alexa-powered interaction model can be. Today we are making the same deep learning technologies (ASR – Automatic Speech Recognition NLU – Natural Language Understanding) that power […]

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