Looking back to our last post, we learned all of the Things in an IoT system must be able to communicate within a common framework. There needs to be a clear communication protocol in place that defines what the format of the payload looks like when Things communicate. When this framework is defined the full value of IoT is realized.
Unfortunately, many companies underestimate the complexity of this framework and do not take into account the need for industrial server technologies (such as clustering for failover or multi-server distributed architecture). Often development starts on its own, “in house” and then is released in the market. This leads to a rapid increase in the number of users causing problems scaling the services and performance.
To resolve the issue of scaling and performance, IoT-operators often favor the development of a central system focusing on the devices themselves. But this does not solve the problem – sometimes developers begin to create a system from scratch and do not have sufficient resources and time to implement the system’s technological core.
Using an already-existing, proven and tested IoT platform can be a more sensible option. Here is a list of the top objectives you need to consider when choosing an IoT platform:
- Maintaining communications between servers and devices in the event of unreliable operation via wireless and satellite links
- Unification with the data devices, regardless of their physical location
- Storage of large amounts of collected events and historical data in databases of different types (relational, ring, NoSQL)
- Visual building of complex chains of background analysis and correlation of events
- The rapid construction of the operator interface and ‘systems’ without programming
- The implementation of integration scenarios by using ready-made universal connectors (SQL, HTTP / HTTPS, SOAP, SNMP, etc.)