How Planted Ramps Up Food Production Faster with Grafana's Single Pane of Glass
summary
Planted uses Grafana as a single pane of glass to cut product ramp-up time by turning factory OT signals into actionable observability: ingesting 10 million measurements per day, plotting batch runs on relative time with the ECharts plugin, annotating data, capturing images via a dashboard button, and sending step‑by‑step remediation plus remote API commands through the Infinity plugin. An operator dashboard records sensor positions for traceability. Result: faster root‑cause analysis, repeatable runs, and in‑house tweaks that reduce supplier lead time and accelerate production scale.
AI-written summary · about
chapters (12)
- 0:00Introduction to food processing through a data lens
- 1:51Meet Planted and the plant-based meat industry
- 4:00Challenges to ramping up manufacturing
- 5:51Speeding up ramp-up
- 6:49State of observability in manufacturing
- 8:07Grafana for process engineers
- 9:24Reaping the benefits of in-house production
- 10:14Sharing data across the company
- 10:40Single pane of glass with Grafana
- 12:54Annotating measurement data seamlessly
- 14:24Enhancing daily manufacturing operations process with data
- 16:15Conclusion: Winning in fast-paced markets through smart factories
related talks
46mHow many dashboards does your Grafana have?
21mSpeed Up Troubleshooting with Integrated Application and Infrastructure Observability
32mDog Food Can Be Delicious
35mReal-Time Monitoring with Grafana, StatsD and InfluxDB
27mFrom Zero Visibility to Full Observability with Grafana
54mA Practical Guide to Dashboarding
21mObservability Made Simple: Monitoring Plants with IoT & Grafana
21mInstant Measurement and Data Ingestion: Demo