Sold by: NAONWORKSÂ
Deployed on AWS
CEREBRO-Edge is a industrial data pipeline that collects, transforms, and normalizes real-time data from IoT sensors, devices and systems. It enables seamless integration with SCADA systems, industrial monitoring and management platforms, and other operational systems using flexible connectors. Ideal for public infrastructure, smart city, and industrial automation use cases.
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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
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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) Version: v1.0.0 Release Date: 2025-11-10 Deployment Target: On-Premise / Cloud (AMI)
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Overview This release introduces the first official AMI package of CEREBRO-Edge Standard Edition (BYOL). The AMI is designed to operate with the same architecture across both on-premise and cloud environments, with the primary goal of standardizing key capabilities such as AMI-based installation, initial bootstrapping, and security module configuration.
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Change Type Initial Release
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Details 3.1 Packaging & Installation Architecture First packaging of the full CEREBRO-Edge service as an AMI Docker-based microservices environment included Automated initialization scripts adapt configuration based on deployment type (On-Premise / Cloud) 3.2 Security Module & Key Management Options TPM-based key protection supported (mandatory for On-Premise) Key management integration options for AWS KMS and NCP KMS Users can select the key storage mode during installation (Self-Contained / TPM / AWS KMS / NCP KMS) Updated encryption configuration templates 3.3 Data Pipeline Architecture Full pipeline flow implemented Supports publishing to external MQTT / AMQP / Kafka brokers Includes the initial version of Packet Parser and normalization pipeline
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Bug Fixes As this is the initial release, there are no additional bug fixes beyond the stability improvements identified during pre-release testing.
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Notice 5.1 On-Premise: TPM module is required Internet connectivity is needed during initial installation to download required 3rd-party containers 5.2 Cloud (AMI) Network access to external message brokers must be reviewed based on VPC policies BYOL license activation requires customer-provided license key input
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
Support
Vendor support
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