Cisco AWS integrate IoT edge network software and services

Cisco continues to swell mannerer cloud-neutral connectivity options this time tying its Edge Intelligence software with Amazon Web Services IoT cloud labor.

Specifically Ciscos Edge Intelligence software now works with AWSs IOT Core labor to let mannerers process data from adjoin with and handle thousands of IoT artifices and applications linked via industrial operations networks.

Cisco Edge Intelligence runs on Ciscos IoT and industrial networking family and gathers data from connected artifices to form close flows from the edge into special open or third-party clouds. For sample if a robotic arm in a distant method needs replacement it can send telemetry almost the problem. Edge Intelligence extracts that data and gives the operational-technology team information it can use to fix the problem.

[ Also see What is edge computing? and How edge networking and IoT will reshape data centers.]

One of the keys to the Cisco Edge Intelligence software is its power to apprehend myriad industrial communications protocols. For sample the software has built-in industry-standard connectors such as OPC Unified Architecture Modbus EtherNet Industrial Protocol (EIP)/Common Industrial Protocol (CIP) and MQ Telemetry Transport (MQTT) that allow data to be extracted from unequal sources with minimal-to-no coding needed. The data is then converted to industry-standard formats said Samuel Pasquier senior ruler of fruit handlement at Cisco.

On the cloud side AWS IoT Core lets mannerers connect any number of IoT artifices to the cloud and to other artifices without requiring them to provision or handle servers. According to AWS the labor provides automated shape and authentication when a artifice leading junction to AWS IoT Core as well as end-to-end encryption throughout all points of junction so that data is never exchanged between artifices and AWS IoT Core without proven oneness.

Once connected the web-based handlement interface lets mannerers particularize continous or scheduled data delivery and Edge Intelligence uses a just-in-time provisioning to provision Cisco gateway and associated artifice certificates into AWS IoT Core Registry.

Once a gateway is provisioned users can set sending data to AWS IoT Core. Actions can be performed on the data using the ’Rules for AWS IoT’ features to transfigure strain aggrandize and way data in the cloud. This in-turn unlocks a difference of use cases for analytics reporting and visualization for the enterprise Pasquier wrote in a blog almost the new integration.

 ’Cisco has developed a single end-to-end solution to collate data from the industrial edge and move it to AWS IoT Core at layer’ stated Michael MacKenzie AWS general handler IoT Connectivity and Control in the Cisco blog.  ’Instead of spending time on manner integrations Cisco Edge Intelligence with AWS IoT Core allows mannerers to move faster and centre on innovating in their core business.’

This isnt the leading cloud-integration rodeo for Cisco Edge software. A year ago the company fused its Intelligent Edge software with Microsofts Azure IoT Hub a handled cloud labor that acts as a communications commerce cop between IoT artifices and applications. 

As with the AWS integration Cisco and Microsoft have made it singler faster and more secure to send IoT edge data to enterprise-class applications. Customers will be able to sum their IoT artifices through Cisco Edge Intelligence to Azure IoT Hub with a click of a button. And they will be able to drive artificial intelligence analytics machine learning and business-intelligence applications to support a better digital transfigureation Cisco said.

IoT commerce is growing rapidly. According to Ciscos Internet Report of the 29.3 billion networked artifices in use by 2023 near half will support IoT applications. Machine-to-machine communications are among the hottest applications including applications such as keen meters video surveillance healthcare monitoring transportation and package tracking. 

The size of IoT commerce is growing faster than the number of junctions owing the use of video applications on M2M junctions is up as well as other high-bandwidth low-latency applications such as telemedicine and keen-car navigation methods Cisco said.