FastAPI-powered analytics engine processes 30 days of time-series data to generate trend reports, capacity forecasts, and peak usage patterns. 6 specialized endpoints deliver actionable insights through interactive visualizations.
SIMOOB's analytics engine queries 30 days of historical data stored in SQLite, aggregating metrics into meaningful insights. Complex SQL queries with time-based grouping enable fast analysis of trends, patterns, and anomalies across your infrastructure.
Identify patterns in resource usage over days, weeks, or months to understand system behavior and plan for growth.
Forecast future resource needs based on historical growth patterns and usage trends to avoid capacity issues.
Automatically identify peak usage periods and understand what drives resource spikes in your infrastructure.
Compare resource utilization across containers and systems to identify imbalances and optimization opportunities.
Compare current metrics against historical baselines to detect anomalies and performance regressions.
Aggregate and summarize alerts to identify recurring issues and prioritize infrastructure improvements.
All analytics data is rendered through responsive Chart.js visualizations, providing interactive graphs, charts, and dashboards. Users can zoom, filter, and export data for presentations and reports.
Real-time updates ensure dashboards always display the latest analytics, while historical views allow deep-dive analysis into past performance.
High-performance Python backend
Time-series data storage
Interactive visualizations
Data analysis and aggregation
Make data-driven decisions with SIMOOB's powerful analytics engine