google/mtail
Mtail
mtail is a log-based metrics extractor and time-series monitoring agent. It functions as a log pattern parser that transforms unstructured log text into structured numerical monitoring data without requiring modifications to the original source code.
The tool operates as a push-based telemetry pipeline, aggregating extracted metrics in memory before transmitting them to remote monitoring endpoints and time-series databases.
Its capabilities cover log data telemetry, application performance monitoring, and custom log monitoring through a pipeline that moves parsed data from text logs to external monitoring tools.
Features
- Log-to-Metric Translation - Converts unstructured log event occurrences into numerical time-series metrics for monitoring.
- Regex Pattern Matching - Uses regular expressions to identify and extract numerical values from unstructured log text.
- Log-Based Monitoring Agents - Operates as a background agent that transforms log files into telemetry for external monitoring.
- Log File Tailing - Continuously monitors the end of log files to process new entries in real time.
- Log Parsers - Extracts structured numerical data from raw log strings using custom patterns.
- Push-Based Metric Pipelines - Uses a push-based architecture to transmit aggregated telemetry data to central servers.
- Log-Based Metric Extractors - Parses text-based logs using regex to retrieve numerical performance data.
- Non-Intrusive Log Extraction - Enables metric generation from logs without requiring any changes to the application code.
- In-Memory Aggregators - Aggregates counters and gauges in memory to reduce the frequency of external database writes.
- Time-Series Database Exporters - Flushes aggregated local metrics into remote time-series databases for long-term storage.
- Application Performance Monitoring - Tracks software behavior and error rates by extracting telemetry from logs.
- Logging Pipelines - Routes formatted monitoring data from log files to external monitoring services.
- Metrics Exporters - Provides a mechanism to expose generated metrics for analysis in external monitoring systems.
- Observability Metrics Exporters - Exports extracted application performance and usage metrics to external monitoring tools.
- Log Stream Monitors - Tracks specific patterns within live log streams to generate custom health metrics.
