Most O&G digital projects don't fail at the pilot stage. They fail 6 months into rollout — when nobody's watching as closely. 👀 The pilot felt like success: few data sources, short time window, simple queries. The database handled it fine. ✅ Then came the real deployment. 10,000 tags instead of 100. Continuous ingest, 24/7. Years of retention instead of weeks. 📈 A database that worked at 100 tags/s breaks at 10,000. 💥 PoC conditions rarely stress the data infrastructure the way production does. IIoT systems push three limits at once: 🗄️ Storage: 10K tags at 1Hz = 315 billion rows/year ⚡ Ingest: fall behind once and the backlog never recovers 🐌 Queries: milliseconds at PoC become minutes at scale Every database has a performance envelope. Most teams discover it after deployment. 🔥 This webcast sponsored by Tiger Data (creators of TimescaleDB) covers how to map it beforehand, monitor it as data grows, and design systems that scale without adding infrastructure complexity. 🎯 Register Now https://lnkd.in/gyumQdYc #OilAndGas #IIoT #DigitalTransformation #TimeSeries #DataInfrastructure #OperationalTechnology #Upstream #TimescaleDB
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