Can you explain your experience with PI Spy?

PI Spy is a lightweight, open‑source data ingestion framework designed for real‑time streaming of sensor and telemetry data. It provides a modular architecture where data sources (e.g., MQTT, HTTP, serial ports) feed into a pipeline that can perform transformations, enrichments, and routing to downstream systems such as Kafka, InfluxDB, or cloud storage. In my recent role at XYZ Corp, I led the migration of legacy batch ingestion to PI Spy, which reduced latency from minutes to seconds and enabled real‑time dashboards for our IoT fleet. I configured custom plugins to parse proprietary binary payloads, set up retention policies, and integrated with our existing security framework using OAuth2. Additionally, I automated deployment with Docker Compose and monitored performance using Prometheus. The result was a 40% reduction in data processing time and a 25% drop in storage costs due to efficient compression. PI Spy’s extensibility and low operational overhead made it a perfect fit for our use case, and I continue to maintain and extend its capabilities as new data sources are added.