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Cloud Analytics

Advanced Analytics Engine

Time-series analytics at scale -- pattern recognition, cross-site correlation, and automated trending across billions of data points with sub-second query performance.

TIME-SERIES ANALYSIS10050014:0016:0018:0020:0022:0000:00PATTERN MATCH!VibrationTemperaturePressureAnomalyPatternMETRICSINGESTION RATE0.0M/dayP95 LATENCY142msACTIVE QUERIES12LIVESTATISTICAL SUMMARYSENSORMEANSTDMINMAXTRENDvib_x2.40.321.24.8temp_bearing67.82.105878pressure_in4.20.153.84.9flow_rate126.28.4098152power_kw18.41.201524CORRELATIONvib1.000.810.690.630.85tmp0.521.000.280.990.02prs1.000.121.000.370.88flw0.490.800.701.000.86pwr0.500.920.260.991.00vibtmpprsflwpwranalytics-engine@twinedge:~$ query --range 24h --aggregate Scanning telemetry hypertables... > telemetry_raw: 2,847,391 rows (compressed 40:1) > continuous_agg: hourly rollup ready Pattern engine: 3 recurring signatures found Anomaly detector: 1 outlier flagged (vib_x spike at 14:22) Cross-site correlation: Manila-Cebu pump efficiency r=0.94 Trend analysis: bearing_temp +0.3C/week (degradation warning) Energy benchmark: Manila 0.42 kWh/m3 (fleet avg: 0.51) Query completed in 147ms. Results cached for 5m.
2.4B+Data points ingested daily across fleet
<200msP95 query latency on 1-year range
40:1Compression ratio with columnar storage
5 yearsHot retention with automatic tiering

Analytics Capabilities

Time-Series Storage Engine

Hypertable architecture with automatic partitioning, continuous aggregates, and columnar compression. Query years of data with sub-second response times.

Cross-Site Correlation

Compare pump efficiency curves across Manila and Cebu plants side by side. Identify best-performing configurations and propagate them fleet-wide.

Pattern Recognition

Automated detection of recurring anomaly signatures across your fleet. When a failure pattern appears at one site, the system alerts all similar assets.

Real-Time Aggregation

Continuous aggregate views pre-compute hourly, daily, and weekly rollups. Dashboard queries against millions of rows return in milliseconds.

Automated Trending

System automatically identifies degradation trends, seasonal patterns, and correlation shifts. Weekly digest emails highlight assets requiring attention.

Anomaly Aggregation

Roll up edge-detected anomalies into fleet-level heatmaps. See which asset classes, vintages, or manufacturers have the highest failure rates.

Use Cases

Energy Benchmarking

Compare kWh per cubic meter pumped across all water treatment plants. Identify outliers consuming 15%+ above fleet average.

Failure Mode Analysis

Correlate vibration spectra with maintenance records to build failure signature libraries. Reduce mean time to diagnose by 60%.

Regulatory Reporting

Auto-generate ISO 50001 energy reports, EPA compliance summaries, and internal SLA adherence scorecards from live telemetry.

Turn Telemetry Into Actionable Intelligence

Query billions of data points in milliseconds. Spot patterns humans miss.