Overview
CEREBRO-Edge is a scalable, seamless data pipeline designed to unify and streamline the flow of real-time industrial data from field devices to enterprise applications. It supports a wide range of IoT sensors and over 150 types of industrial devices, enabling organizations to collect raw data directly from PLCs, RTUs, and legacy systems.
Once data is collected, the platform processes it through a robust pipeline. Raw or unstructured payloads are parsed using the built-in Packet Parser, which converts binary streams into structured, meaningful formats. This ensures that even highly heterogeneous data sources can be seamlessly transformed into a unified schema without the need for manual formatting or preprocessing.
The standardized data can then be delivered to external systems through ConnectCore, which provides flexible outbound connectors. Whether integrating with SCADA software, industrial monitoring and management platforms, or custom dashboards, CEREBRO-Edge acts as a secure and reliable bridge between OT data and modern IT/cloud environments.
Optimized for public infrastructure projects, smart city deployments, and industrial automation use cases, CEREBRO-Edge helps eliminate data silos, reduce manual engineering effort, and accelerate the deployment of intelligent operations powered by real-time field data.
Highlights
- OT data ingestion & normalization Unify industrial data in the cloud Connect OT systems with cloud platforms seamlessly
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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Vendor refund policy
This product does not include software charges on AWS Marketplace, and therefore refunds for the AMI itself are not applicable. Infrastructure charges are billed directly by AWS and are subject to AWS's refund policies. Naonworks cannot provide refunds for any AWS service fees. BYOL licenses are non-refundable once issued. After a license key has been generated, delivered, or activated, no refunds can be provided under any circumstances.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
CEREBRO-Edge Standard Edition (BYOL) for AMI Release Notes Version: v1.0.0 Release Date: 2025-11-10 Deployment Target: Cloud (AMI)
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Overview This release marks the first official AMI package of the CEREBRO-Edge Standard Edition (BYOL). The v1.0.0 AMI provides a fully pre-configured deployment of the CEREBRO-Edge platform, designed to operate consistently with the same architecture used in on-premise environments. The purpose of this release is to standardize installation, initial boot, and configuration workflows for cloud-based deployments.
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Change Type Initial Release
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Details 3.1 Packaging & Installation Architecture First release of the CEREBRO-Edge platform packaged as an AMI Preconfigured Docker-based microservices environment Automated initialization scripts that adapt configuration based on the deployment environment
3.2 Industrial Data Pipeline Architecture Full data pipeline included Supports publishing to external MQTT, AMQP, and Kafka brokers Includes Packet Parser and data normalization modules
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Bug Fixes As this is the initial release, there are no specific bug fixes beyond stability improvements verified during pre-release testing.
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Notice Under the BYOL licensing model, users must complete the license key activation process as part of the initial setup.
Additional details
Usage instructions
The CEREBRO-Edge Standard Edition (BYOL) AMI provides a pre-installed version of the CEREBRO-Edge platform, enabling rapid, self-hosted deployment of an industrial data pipeline on AWS EC2. With this AMI, organizations can reliably collect, normalize, and transmit real-time operational technology (OT) data, ensuring seamless integration with cloud environments and IT systems.
This AMI includes the following core modules: DeviceCore: Acquisition of industrial device and sensor data DataCore: Data mapping, transformation, and normalization Packet Parser: Parsing of binary and unstructured payloads ConnectCore: Connectivity to REST, MQTT, AMQP, and database systems Flow Builder: Low-code orchestration and processing of data flows
Installation & Configuration Guide For detailed instructions on installation, initial Web UI configuration, and BYOL license activation, refer to the full deployment guide below:
View the complete CEREBRO-Edge SE BYOL Installation Guide https://drive.google.com/file/d/10VP4ddZXzX-XpquB8nES0LM3hnhjy9gU/view?usp=sharingÂ
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