IoT is much more than MQTT
IoT is growing in many different directions, with many different technologies competing to become the standard. This will cause difficulties and require the deployment of extra hardware and software when connecting devices.
Other compatibility issues is caused by non-unified cloud services, lack of standardized communication protocols and diversities in firmware and operating systems among IoT devices.
How legacy differs from IoT
- Legacy systems’ ability to analyze unstructured data
Legacy systems are well suited to handle structured data; unfortunately, most IoT/business interactions generate unstructured data. However, the real challenge for the organizations is to determine which data is valuable, as only quality data is actionable data.
- Legacy systems’ ability to manage real-time data
Traditional analytics software generally works on batch-oriented processing, wherein all the data are loaded in a batch and then analyzed
- Web applications add to the complexity, especially when legacy applications must be integrated with a service-based architecture, like microservices
- A traditional centralized enterprise service bus (ESB) integration usually could connect every endpoint in your environment. When integrating IoT, a combination of message based protocols, application connectors, data streams, enterprise integration patterns, and application programming interfaces (APIs) are more suited to modern application development.
IoT connectivity and access
- Protocol translation is a major part of the IoT development effort.
- While establishing smooth connectivity within an IoT solution is essential to making it work, establishing a connection between different systems is equally important.
- Robustness for multiple networks: As IoT is mainly about dependence on sensors for signals and networks for the distribution, chances are that due to certain anomalies in runtime, such as a shutdown of power, incorrect data may get recorded.
- Identification and Authentication of multiple technologies: There are already billions of devices and to connect them involves a lot of security risks and not just complexity. Bringing along a large number of connected devices on one platform needs formalization and system architecture that can identify and authenticate those devices, and manage granular access control to their data.