Energy & Utilities
Utilities generate enormous volumes of measurement, most of which is uninteresting until the moment it suddenly is not.
Volume that has to stay affordable
Readings are cheap to collect and expensive to keep. What is downsampled and what is retained in full should be a decision made early, not discovered in a bill.
- Time-series storage sized for the volume
- Retention and downsampling defined up front
- Queries that stay fast as history grows
Anomalies that matter, not every fluctuation
An alerting system that cries wolf gets muted, and a muted system is worse than none because everyone believes it is working.
- Baselines learned from the site itself
- Alert fatigue treated as a design failure
- Escalation paths with an owner
The services that come up most here
Firmware, telemetry and dashboards for equipment that should tell you before it fails.
One warehouse instead of six spreadsheets, with dashboards that land before the meeting.
The systems that run the business — backends, APIs and the integrations between things that were never designed to talk.
Does this sound like your business?
Describe how yours actually runs — including the parts that do not fit the pattern above. Those are usually the interesting ones.
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