IoT Observability

The need of observability for IoT systems

When we think of an IoT system, we focus especially on information collectors: sensors that can continuously collect any type of information not generated by a human being.

However, the success of an IoT system, that is, what makes it useful and differential, is how this information is managed: how it is stored, how it is processed, how it is correlated, how it is used and how it is represented. That is why it makes sense to talk about IoT Observability, also known as Internet of Things Observability, and why an open, scalable and secure system like the one proposed by ToBeIT enhances the deployed IoT system.

On the other hand, the extension in the use of M2M (Machine to Machine) communication protocols and the potential use of storage and processing in the cloud, opens up a universe of possibilities unimaginable until now, mainly for IoT Observability.

An Observability platform for IoT systems that facilitates knowing the past, present and future of devices, as well as the relationship between their behavior, that allows intelligence to be applied and that is equipped with an advanced representation layer, flexible, versatile and useful is a must for any IoT system.

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The use of the MQTT protocol

The MQTT (Message Queing Telemetry Transport) protocol created for the oil industry remained private until 2010 and became an official standard in 2014.

MQTT relies on the TCP/IP stack as the basis for communication. Unlike other protocols, it keeps the connection open by reusing it on every communication (the sensor connects, subscribes, and publishes to a queue it is subscribed to). The simplicity and lightness of its operation and the fact that it includes a quality of service mechanism means that it has become a widely used standard.

On the other hand, the protocol includes security measures (applicable or not depending on the IoT devices) such as SSL/TLS or user/password or certificate authentication.

ToBeIT's IoT Observability Solution

ToBeIT proposes a platform based on the use of the MQTT protocol for IoT Observability.

The information transferred from the IoT devices is sent to a push messaging service in subscription mode that is ingested into the Elastic-based ToBeIT platform acting as a datalake. Within the Internet of Things Observability platforms, we recommend this solution.
The IoT Observability platform facilitates the application of machine learning models that allow for advanced observability by identifying patterns and trends in the matrix of IoT devices. Its architecture is based on dockerized servers on kubernetes which facilitates its rapid deployment and its security.
The representation of the information is done with Grafana, a standard that allows information from the IoT system and from other sources to be integrated into the same visibility layer. If you are interested in implementing this IoT Observability platform, do not hesitate to contact us and we will advise you as soon as possible.

Observability Operations Technology

Operations Technology Observability, also known as OT Observability, is a practice that is increasingly used in operations teams. Observability enables operations technology teams to monitor IT infrastructure performance in real time, identify issues, and take preventative action before they become serious issues.

Observability Operations Technology allows the collection, analysis, and visualization of data from different sources, such as logs, metrics and traces, to obtain a complete vision of the infrastructure and its behavior.

Effective implementation of OT Observability can help reduce downtime and improve user experience. In addition, Operations Technology Observability enables operations teams to make informed, data-driven decisions on how to optimize system performance and apply continuous improvements.

In short, Operations Technology Observability is a key practice to ensure the reliability, scalability, and security of systems and applications in operations technology.

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