Alina Dima

Engineers work on IoT applications to enable such use cases at scale. Data, be it raw, prepared or consumable, be it real time or historical, is at the centre of most IoT use cases. IoT applications are complex, and often affected by events outside of the engineers' control, such as: the network provider drops the connection, or a high % of your device fleet goes offline and comes online at the same time. Multiple points of failure in the end-to-end architecture, external factors, are just some examples of what can generate challenges for data accuracy, consistency, completeness and timeliness. Problems that seem minor at small scale, such as: 1% of your fleet not sending data for 20 minutes, might break your use case at large scale. Is it one device that is misbehaving, or are 100,000 devices not performing as expected?