Internet of Things offers a promise to improve operational efficiencies, predict failures, improve product quality and improve decision making. With advent of cloud computing, ever dropping hardware and sensor costs and pervasive connectivity that we all have come to expect, IoT is making inroads in every aspect of life & business. By connecting machine and sensors to the cloud, businesses can eliminate data-silos, take advantage of cloud SaaS/PaaS offerings, machine learning algorithms and gain insights from data
Current Industry Focus
Today, there are a number IoT solutions, most of them centralize application intelligence in the cloud while systems at edge are simplistic & limited in capability to shepherd data. They achieve quick onboarding of applications while keeping the overall spend low. However, such cloud-centric solutions are not optimal for all use cases and in fact limit the ROI due to rigidity of the edge systems! IoT experts in the industry are recognizing the need for an agile, intelligent & scalable edge systems that address the challenges for wide scale IoT adoption, such as:
• Legacy, multi-vendor and multi-site presence of assets
• Mix of proprietary & standard interfaces
• Multiple connectivity options (Ethernet, Serial, LoRA, Zigbee, NB-IoT/LTE-m, Bluetooth, etc)
• Privacy concerns prevent business to migrate critical operations data to cloud
• Need for transforming schema and semantics of edge systems to match with centralized applications
With changing business needs, you need a solution at the edge that can match cloud’s agility.
Agility at the Edge – A Necessity, Not a Choice
While most solutions offer edge capability limited to sensor & cloud connectivity and data transport, Sayantek’s eRED is an agile, distributed and programmable edge platform built with comprehensive security, cloud SaaS/PaaS integrations, M2M connectors and out-of-the-box analytics to accelerate solutions. eRED has two components: eRED Edge that is deployed on customer premises (factory floors, remote locations, data centers, etc) to run a variety of data management services such as data collection from multiple sources, storage, aggregation, stream analytics, and secure data transport to the cloud and eRED Controller that can be hosted in cloud or on-prem that allows operators to create edge apps (called flows) and deploy them on one or more edge instances simultaneously.
|Centralized flow editor & administration|
|Simplify management of multiple edge instances
Avoid truck rolls for configuration & upgrades
Enable managed application/service delivery to end users
Enhance security by running edge instances in headless mode
|Scale data storage, create enterprise-wide data warehouse, train ML models.
Leverage innovative SaaS offerings
Migrate legacy systems to cloud to improve TCO
|Distributed flow support||Monitor & debug remote flows without needing access to onsite network
Enable edge-to-edge application & data integration
|Edge analytics||Take real-time actions based on insights
Send only actionable data upstream and reduce cost of transport/storage
Scale overall analytics pipeline by pre-processing at edge
|Host controller on-premise||Build on prem solution with no dependency on cloud
Enhance data security & compliance
|Security||Enterprise grade security framework protects sensitive assets and data|
eRED Edge has a small footprint and can run on any Windows or Linux based platforms. Footprint can be as small as 256MB RAM and 512MB of storage. eRED has been extensively tested on IoT Gateways (Dell), Raspberry Pi, Intel Edison, Opto22’s Groov Industrial PC, Android and various popular linux distros.
On-Prem Model:In this model eRED Controller and eRED Edge instances are deployed on customer premises. Edge instances are typically located near the assets in the OT network. Controller is located in the data center. It is possible to run eRED Edge instances on Windows Server, Linux VM, IoT Gateway or Industrial PCs. A single controller can manage multiple Edge instances.
Hybrid Model:In this model, eRED Controller is hosted in cloud (public or private) while Edge instances are deployed anywhere (customer premises or cloud). If deployed in customer premises, there is no need for opening enterprise firewall port, since all connections are initiated by Edge instances in out bound direction.