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Guidance for Integrating an Industrial Data Fabric with Domatica EasyEdge on AWS

Overview

This Guidance illustrates how to integrate Domatica EasyEdge with AWS IoT SiteWise. EasyEdge supports a broad range of industrial protocols, including S7 programmable logic controllers (PLC), Modbus, Ethernet, IP, Open Platform Communications Unified Architecture (OPC UA), and OPC Data Access (DA). Through a tight integration with AWS IoT SiteWise Edge, Easy Edge provides a seamless deployment, data processing and enrichment at edge before sending the data to AWS IoT SiteWise. The Guidance shows how to deploy EasyEdge as a Docker container to configure data flows and collect data from various sources. Sensor data is published as MQTT messages, processed locally, and securely transmitted to AWS IoT SiteWise, enabling real-time edge monitoring and cloud-based analytics to support operational decisions.

How it works

This architecture diagram shows how to ingest near real-time data at scale from edge data sources into an IDF on AWS using Domatica’s EasyEdge.

Download the architecture diagram

Well-Architected Pillars

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

AWS IoT SiteWise enables monitoring data collection, processing, and storage at the edge and cloud through Amazon CloudWatch logs and metrics and AWS CloudTrail. AWS IoT SiteWise offers bulk operations for changing information models at scale to adapt to evolving plant operations. Using AWS IoT SiteWise, you can track data collection, processing, and storage through CloudWatch logs and metrics.

Read the Operational Excellence whitepaper

AWS IoT SiteWise helps ensure that data is encrypted at rest. You can protect data in transit using TLS or at rest using client-side encryption. AWS Identity and Access Management (IAM) policies follow the principle of least privilege. AWS IoT SiteWise Edge processing exposes TLS-encrypted APIs accessible over local networks, using server certificates and access control passwords stored on disk with file-system encryption. By leveraging these security measures, you can encrypt data at rest using AWS IoT SiteWise, Amazon Simple Storage Service (Amazon S3), and secure edge communications.

Read the Security whitepaper

AWS IoT SiteWise has throttling limits for cloud data ingress and egress, helping to ensure service availability. You can back up asset metadata and telemetry data using APIs and the Amazon S3-based cold storage tier. These fully-managed services operate across multiple Availability Zones within highly redundant global infrastructure of AWS.

Read the Reliability whitepaper

AWS IoT SiteWise provides flexible telemetry data ingestion options for real-time and batch processing, with hot, warm, and cold storage tiers for optimizing performance and cost. AWS IoT SiteWise Edge allows local data storage and processing for low-latency edge application access. These fully-managed services automatically scale up or down for optimal performance without over- or under-provisioning. By using the ingestion approaches, storage tiers, and edge capabilities of AWS IoT SiteWise, you can optimize performance for your industrial assets based on real-time needs, analytics requirements, and cost considerations.

Read the Performance Efficiency whitepaper

AWS IoT SiteWise offers cost-optimized ingestion methods and storage tiers (hot, warm, cold) for optimizing costs based on data access patterns. AWS IoT SiteWise Edge collects, stores, and processes data locally, reducing constant cloud data transfer needs.

Read the Cost Optimization whitepaper

AWS IoT SiteWise Edge filters incoming data, while retention period settings remove older data from hot and warm tiers when no longer needed. These fully-managed AWS services support sustainability of your workloads by avoiding over-provisioning, reducing on-premises infrastructure needs, and leveraging energy-efficient AWS data centers. By filtering data at the edge and cloud, you minimize the storage and processing resources required, effectively reducing your workload's environmental impact.

Read the Sustainability whitepaper

Disclaimer

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.