Q-Sensei Logs is fully featured solution for log collection, indexing and analytics which is built on top of Q-Sensei Fuse.
Log Management
- Collecting, centralizing, and storing of logs at a high volume
- Q-Sensei Logs connectors automatically collect logs from a vast number of data sources either on-prem or cloud environments
Log Analytics
- Analysis of log events in real-time and in bulk after storage
- Facets are built from each key-value pair in the log event
- Multidimensional query engine to interact with facets and analysis in real time
- Query Builder to build complex queries with ease using real-time analysis
Metrics
- Automated extraction of metrics or measurements from log events
- Visualization of metrics on time series graph
- Visualization of summary of metrics using reduction functions
- Average
- Min
- Max
- Sum
- Metric correlation with all other facets
Automated Outlier Analysis
- Fully automated detection of outlier data fields and outlier data points
- 3 different methods of outlier detection supported out of the box
- Box Plot
- Standard Deviation
- Random Forest
- Visualization of outlier data points using time series graph
- Optionally, configure grouping criteria for normal data points
- Correlation of outliers with other facets
Dashboards
- Create personalized dashboards to monitor new log events from a streaming data source
- Choose from multiple widgets
- Donut
- Histogram
- Time Series
- Table
- Notes
- Share dashboard with multiple users
Alerting
- Pattern based alerting: Receive alert when a certain pattern occurs in your logs
- Inactivity alert: Receive alert when a certain pattern does not happen in your logs
- Outlier alert: Receive alert when an outlier data point is detected based on a certain criteria
- Receive alerts for measurements or metrics
- Choose from different alert mediums
- PagerDuty
Retention [Upcoming]
- Analysis or log events from long term storage mediums like S3 buckets
Automated Unstructured Log Analytics [Upcoming]
- Mining log templates and parameters from unstructured log events
Custom Applications
- Custom use cases supported using advanced log aggregation (For example correlation of deployment metrics with Software versions)