Modius OpenData
Modius offers solutions to manage the availability, capacity, efficiency, and availability of critical facilities. OpenData, our flagship product, includes all the tools, including DCIM, needed to manage mission-critical infrastructure performance, which includes seamless integration with disparate devices. OpenData integrates analytics, dashboards and graphical views into a single pane of glass. Modius collaborated with the ESTCP to demonstrate a Middleware solution that makes it easier to use utility and facility data to improve facility management, operation, maintenance, and operations.
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AdRem NetCrunch
NetCrunch runs on Windows Server (virtual or physical) and allows for efficient, agentless network monitoring, network visibility and advanced alert and remediation action management system. It can monitor practically any device, system or data source in your network, as non standard data can be pushed to NetCrunch or read from log, file or database to be included in NetCrunch network atlas.
Developed by AdRem Software, NetCrunch includes 540+ predefined monitoring packs and ready to use sensors to track and troubleshoot network services uptime, performance of switches, routers, storage devices and applications, cloud services, bandwidth, and traffic flow. AdRem NetCrunch supports monitoring of all major OS types, such as Linux, Windows, VMWare ESX/ESXi, Mac OS X, and BSD.
It allows creating all types of live network maps, performance charts, flexible dashboards and graphical views that are updated automatically, displaying live status of any monitored device, connection link, metric or alert.
Data collected by NetCrunch can be shared securely via web console or any of over 30 ready to use integrations with most popular help desk systems (Jira, Freshdesk) or group collaboration (Slack, MS Teams, PagerDuty, Trello).
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Eclipse Kura
Eclipse Kura™ is a flexible and open-source framework designed for IoT Edge applications, built on Java/OSGi. It provides developers with API access to various hardware interfaces found in IoT gateways, such as serial ports, GPS, watchdog timers, GPIOs, and I2C. Among its features, Kura includes pre-configured field protocols like Modbus, OPC-UA, and S7, an application container, and a web-based visual programming tool that facilitates data acquisition from the field, edge processing, and efficient publishing to prominent IoT cloud platforms via MQTT. The rise of an IoT service gateway model utilizing contemporary software architectures at the edge of IoT implementations acts as a unifying controller and aggregator, enabling the integration of advanced enterprise technologies into IoT gateways. By utilizing sophisticated software frameworks that simplify the complexities of hardware and networking, the development and reusability of combined hardware and software solutions are significantly transformed, fostering innovation and efficiency in IoT projects. This shift empowers developers to focus more on application logic rather than underlying technical challenges.
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AWS IoT
There are countless devices scattered throughout homes, factories, oil wells, hospitals, vehicles, and numerous other locations. As the number of devices continues to rise, the demand for effective solutions to connect, gather, store, and analyze the data generated by these devices becomes increasingly crucial. AWS provides a comprehensive suite of IoT services that spans from the edge of the network all the way to the cloud. What sets AWS IoT apart from other cloud providers is its unique ability to integrate data management with advanced analytics in user-friendly services tailored for the complexities of IoT data. The platform encompasses a full spectrum of security features, including proactive measures such as encryption and access control for device data, as well as services for continuous monitoring and auditing of configurations. Moreover, AWS is at the forefront of combining artificial intelligence with IoT technology, enhancing the intelligence of devices significantly. Users can develop models in the cloud and transfer them to devices, achieving performance that is twice as fast compared to competing solutions. Additionally, users can streamline their operations by effortlessly creating digital twins of physical systems, allowing for more efficient management. The ability to perform analytics on large quantities of IoT data without the need to construct a separate analytics platform further enhances the overall functionality and appeal of AWS IoT solutions. With these capabilities, managing IoT ecosystems becomes simpler and more effective than ever.
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