Backend
Time-Series Analytics Engine
GoTime-SeriesConcurrent ProcessingAnalyticsForecastingAnomaly Detection
Overview
Built in Go for high-performance concurrent processing with integrated machine learning for anomaly detection and forecasting.
Background
This project is focused on concurrent data processing for metric-heavy environments where throughput and latency matter. Built in Go, it is oriented around analytical pipelines for ingest, transformation, and interpretation of streaming or periodic data. Its direction includes machine-learning-informed anomaly signals and forecasting support, making it a strong systems-backend asset for observability, operations, and intelligent monitoring use cases.
Preview
