Thursday is developer day at AWS Re:invent, with a spate of announcements including Kinesis Analytics and EC2 Container Registry.
Kinesis Analytics, due next year, should help users handle the knotty problem of time series analysis on fast-moving data, Werner Vogels, Amazon (amzn) chief technology officer told Re:invent attendees Thursday morning. Such analytics are important in an age where billions of sensors are online feeding data to an aggregating cloud. The value of that data is only revealed through parsing and crunching through it.
The proposed service will work with the newly announced Kinesis Firehose.
Vogels also announced a new EC2 Container Registry, which he called a fully managed service for logging and launching containers. One plus is it will let developers deploy containers across multiple AWS availability zones in an Amazon region, Vogels said. He also promised integration with Docker's Compose tool, so developers can use Compose to launch applications, he said. Docker, the company, backs the popular Docker open source container tool.
All of these tools, along with the previously announced AWS machine learning service should help developers build applications that take advantage of the opportunities offered by the Internet of things.
Later in the keynote, Vogels announced AWS IoT Platform, which incorporates a device gateway that lets the application to "talk" to remote sensors or other devices over an MQTT connection. The data aggregated can be stored in Amazon S3 storage and make use of Kinesis and other toolsets.
The gateway will let developers create and deploy X509 certificates for the devices and then authorize them to access AWS IoT. They can then associate the device roles to overall AWS Identity and Access Management roles, Vogels said.
"That makes it easy to authorize new devices and revoke access as needed without having to touch them, Vogels said.
Matt Wood, general manager of product strategy demonstrated the IoT platform in action, using a robot arm, connected to the IoT service and a separate Leap motion controller. The Leap motion controller picked up the motion of Wood's arm waving over it, and the robot arm started mimicking those motions almost immediately. It was a powerful demo because of the immediacy of the action. When you imagine that the data from the Leap controller was traveling from the controller to the cloud and then down to the robot arm, you'd expect a bit more delay. There was nothing noticeable.
On Wednesday, the company spent most of the day wooing corporate IT professionals with tools to make it easier to move their on-premises data and applications into the AWS cloud.
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