(Kevin Woods)--When it comes to Kubernetes, operational telemetry data is critical for SREs to maintain SLOs. The applications emit log data, APM metrics, and trace data in addition to Kubernetes' insights into cluster health and service performance.
Kubernetes and the applications it orchestrates produce extensive telemetry data. This data can be voluminous and not well-understood. It is possible to get some basic metrics and health sentiments using telemetry pipelines. This can be done quickly and easily with a welcome pipeline. However, many see the need to go deeper in understanding their data.
