Metrics All the Way: Data Driven Operations
summary
Explains how teams turn logs and time series into decisions using Prometheus, Grafana and Apache Superset, plus a homegrown Prometheus API client that converts metrics into dataframes and enables anomaly detection; organizes metrics around Valet metrics (V A L E T): Volume, Availability, Latency, Error, Tickets; maps measurements to personas and components (Kafka, Argo, Ceph) and visualizes latency buckets and success/error counts; reports that Cabochon manages ~200 repositories and shows dashboards and JupyterBook renderings to drill from 15‑minute to weekly views.
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chapters (17)
- 0:00Start
- 2:02What Exactly Is Devops
- 2:55Devops Culture
- 3:16Strong Foundation of a Devops Culture
- 12:27Outcome
- 13:01Inputs
- 14:13Valet Metrics
- 15:24Availability
- 15:48Latency
- 18:25Prometheus
- 19:33Multi-Dimensional Data Collection
- 21:44Prometheus Api Client
- 24:43Grafana
- 28:42Cabochet Tool
- 39:07Supercell
- 39:49Ui
- 46:43References
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