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What is Telemetry Data? |
Telemetry is an automated process used to collect measurements and other types of data remotely. The data is sent between devices and monitored for analysis to improve device performance. In other cases, telemetry refers to the data collected by tech companies on user activity, tracking things like usage, uptime, crashes, software installed, and more.
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What is OpenTelemetry? |
OpenTelemetry (also known as OTel) is an open-source Observability (= the ability to understand an application’s behavior and performance based only on its telemetry) framework for instrumenting, generating, collecting and exporting telemetry data such as traces, metrics and logs.
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OpenTelemetry supports two primary methods of exporting data from your process to XpoLog Platform, either directly from a process or by proxying it through the OpenTelemetry Collector.
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OpenTelemetry currently supports the Signals below: |
Metrics: Numeric measurements. Metrics can include:
A numeric status at a moment in time (like CPU % used).
Aggregated measurements (like a count of events over a one-minute time, or a rate of events-per-minute).
Logs: Lines of text a system produces when certain code blocks get executed. Log data is usually unstructured and therefore hard to parse in a systematic way. However, XpoLog Platform is equipped with automated log patterns for known systems data and has a very-friendly parsing language to work with. At the end, structured log data makes it easier and faster to search the data and derive events or metrics from the data.
Traces: Records of activity. Trace data describes what happens when a request is made by user or an application.