Telemetry Data: The Puzzle Pieces of Observability

The Increasing Importance of Telemetry Data

The growing shift to digital business is causing a surge in telemetry data emitted from infrastructure and custom applications. According to some estimates, the data growth is well over 20% year-over-year. Telemetry data such as logs, metrics, traces and events provide insights into application performance, infrastructure reliability, user experience and security threats. However, as businesses continue to scale and move their operations to the cloud, telemetry data volume and complexity increase disproportionately, posing a critical problem for maintaining effective observability.

The dynamic nature of telemetry data makes it difficult for enterprises to confidently deliver the right data, in the right format, to the right teams at the right time, all while ensuring sensitive PII is handled properly. The lack of understanding of telemetry data and poor control of volumes leads organizations to make uninformed choices about what data to keep and what to discard, given the high cost of maintaining the data. This dynamic reduces trust in collected data, causing poor observability and an increase in resolution times. The impact on the business is subpar to customer experience and compliance risk. To address this, organizations must change how they manage their telemetry data.