Industrial network infrastructure supplier Cisco and Amazon Web Services (AWS) have collaborated on an integration between AWS IoT Core and Cisco Edge Intelligence software. Cisco Edge Intelligence, which runs on Cisco industrial gateways, provides a complete solution to move the data that matters from the industrial edge to the AWS Cloud—simply, securely, and at scale.
Data has been called “the new oil.” Like oil, it needs to be extracted, processed, and delivered before it has value. This process can be overwhelming when thousands of devices at the network’s edge transmit over multiple protocols and report the same data differently (e.g., metric v English measurements). Then, after all those problems are solved,, moving Internet of Things (IoT) data to the cloud for analytics tends to be too costly, especially over cellular networks.
Toppling the barriers to converting edge data to insights
Imagine monitoring factory-floor robot vibration, vehicle telemetry, or wind turbine speed for preventive maintenance. To get the right data to the cloud, questions need to be answered such as: What data matters and which is irrelevant? How can I transform data from different vendors’ IoT devices so it’s consistent—for example, all temperatures in C° instead of F°? How can we store data and make it available to other systems and business teams? What happens when we need to scale the process to more devices from more vendors? How can we harness the power of the network between the edge and the cloud to minimize hardware investments? How do we ensure that our data is secure at every stage of the journey?
All-in-one solution to extract, transform, govern, and deliver data to AWS
The new integration is designed to solve these challenges by making it simpler to extract, transform, govern, and deliver edge data to AWS. Extracting the right data is simpler because popular machine protocols are built right into Edge Intelligence software, saving on integration work.
Customers can use the same interface to transform data to make it consistent. For example, send only data that falls above or below a certain threshold to run predictive maintenance algorithms, or specify that all temperatures should be expressed as C° even if some sensors report them as F°.
Data governance policies, rules about where particular data elements can be delivered, can be defined before moving the transformed data to the cloud. This protection provides flexibility to not only keep data safe but also to granularly define what information goes where. This feature allows the user to inform more than one data instance on AWS without compromising control.
With governance in place, customers can deliver data to AWS IoT Core with a click. The web-based management interface allows continued or scheduled data delivery to be specified. Edge Intelligence uses a just-in-time provisioning workflow to seamlessly provision Cisco gateway and associated device certificates into the AWS IoT Core Registry. Actions can be performed on the data using Rules for AWS IoT to transform, filter, enrich, and route data in the cloud. This in-turn unlocks a variety of use cases for analytics, reporting, and visualization for the enterprise.
This end-to-end integration secures data from the edge to the cloud using multiple industry-leading authentication and transport security protocols. Once in the cloud the data is backed by AWS’ comprehensive cloud security, tailored to the requirements of the most security-sensitive organizations.
Cisco Edge Intelligence offers a similar integration with Microsoft Azure, offering customers flexibility and multi-cloud options for connecting data from the industrial edge to the cloud.
Further information on Cisco Edge Intelligence can be found here.