InsightFinder Release Notes

InsightFinder UIE 4.8

What’s New

• Fine-Grained Metric Detection: Support sub-minute metric detection using Kafka for more real-time and accurate anomaly detection
• Auto Escalate Incident: Support auto escalation based on instance level anomaly score
• Outlier Detection: Support string outlier detection in log for data quality issues and more
• Model Drift Detection Algorithm: Support minute level sampling and apply aging algo for CDF distribution aggregation for more realtime detection
• IFTrace SDK: Developed IFTrace SDK for collecting LLM trace
• Deploy AI Observability Product:
  • Support model and monitor set up
  • Support model drift workbench
  • Support workbench RCA timeline
  • Support LLM trace viewer and workbench

Enhancements and Improvements

• Metadata Optimization: Optimizing global view and causal metadata return size to increase UI loading
• UX Improvement: Updating problem investigation page UI
• Infrastructure Component Upgrading: Upgrade Cassandra to Cassandra 4

InsightFinder UIE 4.7

What’s New

• MI Causal Algorithm: Introduces a cutting-edge machine learning algorithm for advanced root cause analysis (RCA).
• Open Telemetry Log and Trace Collector: Full support for OpenTelemetry to enhance observability for distributed systems.
• LLM Summarization of RCA Results: AI-powered summarization using large language models (LLMs) to provide concise RCA insights.
• PSI Algorithm for Model Output Comparison: Supported PSI (Population Stability Index) calculations to track model drift over time.
• Multiple System Dashboard: Unified view across various systems to enhance user experience and ease of use.
• Kafka Metric Collector with Gap Fill Support: Ensures reliable metric collection via Kafka, even with data gaps.
• CloudWatch Integration: Seamless integration with AWS CloudWatch for enhanced monitoring and metric collection.
• Snowflake Metric Integration: Direct support for Snowflake metrics, enabling improved data management and analytics.
• BigPanda Integration: Integration with BigPanda to streamline incident management workflows.

Enhancements and Improvements

• Metric Aggregation at Component Level: We have added support for aggregating metrics at a more granular component level, which provides deeper insights.
• PDF Export Support: New ability to export RCA results, dashboards, and insights as PDF for reporting and sharing.
• RCA Ranking Calculation at Instance Level: Introduced the capability to rank RCA results at the instance level, helping prioritize issues.
• Knowledge Base File Downloading and Reuploading: This feature allows users to download and reupload knowledge base files, enhancing knowledge sharing.
• Project Batch Sharing: Easily share project results in batches with other users for collaborative analysis.
• JWT Token and Iframe Support for APIs: Enhanced API security and flexibility with support for JWT tokens and iframes.
• Prometheus Agent Configuration Simplification: Simplified the configuration process for Prometheus agents, making the setup more user-friendly.
• Elastic Log Extraction Performance: Significantly improved performance for extracting and processing large-scale elastic logs.

InsightFinder UIE 4.6

What’s New

• InsightFinder Co-Pilot
  • Introduced a new incident co-pilot that provides recommendations on actions to take for incident resolution.
  • Users can give feedback to improve accuracy and interact with the system for additional recommendations and guidance.

• Accelerator for Log File to Anomaly Detection (Drag and Drop)
  • Added a drag-and-drop file utility for seamlessly adding log files to discover anomalies quickly.

• Enhancements to CDF (Cumulative Distribution Function)
  • Support for rerunning and uploading reference models.
  • Simultaneous display of historical and reference CDF graphs.
  • New settings for filtering and task management are made using score keys.
• UI/UX Improvements
  • Enhanced data collector configuration pages.
  • Time range filtering was added for the causal graph display.
  • Added service map root cause filter.
• Other Enhancements
  • Introduced a new aggregation mode (median) in log2metric.
  • A new time-based dampening setting was added for enhanced anomaly generation.
  • Performance improvements for the unified health view.
  • Various improvements to enhance the accuracy of root cause analysis.
  • New data ingestion integrations for Dynatrace and Snowflake.

InsightFinder UIE 4.5

What’s New

• Analytics & Machine Learning
  • Our latest update introduces a powerful tool, the cumulative distribution function, which can now detect model drift. This feature enhances your ability to monitor and maintain model accuracy.
  • Our log2metric feature has been enhanced to join related data from multiple log files and perform calculations. This enhancement empowers you to perform more comprehensive data analysis.
• UI/UX
  • The incident investigation page now has a summary and recommendations section, making it easy to understand quickly.
  • Related incidents are now consolidated, making it easier to manage incidents.
  • The Insightfinder heatmap and service map can now be embedded into other UIs, including Grafana, making viewing data in one place easier.
  • All actions (custom, k8s) triggered can now be viewed on the new actions page.
• Other
  • Customers can now segment the data in the UI into zones based on security needs.
  • Various user experience and performance improvements
  • K8s Trace data can now be collected using Open Telemetry (OTEL)

InsightFinder UIE 4.4

What’s New

• Kubernetes monitoring agent
• Kubernetes vertical pod autoscaling
• Integrate Dynatrace network dependency into causal analysis
• Global knowledge base sharing
• SAML SSO integration
• Time traveling service health map
• Support derived value and container for log to metric feature
• Zabbix integration

InsightFinder UIE 4.3

What’s New

• Kubernete version of EdgeBrain and MainBrain
• Global knowledge base bootstraping
• Kubernetes monitoring, integrating with Loki and Prometheus
• Robust metric prediction algorithms
• Automatic gap filling for spradic time series data
• Dynatrace integration
• Extrahop integration
• Utilizing websocket for log tail
• UI enhancement on dashboard widget and causal chain graph

InsightFinder UIE 4.2

What’s New

• On-demand metric historical data analysis with drag and drop UI support
• Implement new Log Analysis page UI
• Implement new project creation UI
• Containerized light version of Microbrain – Log
• Fluentd log integration
• Network topology  discovery
• Data quality use cases
• Implement customizable dashboard
• Service Map integrated with grouping page and anomaly score
• Integration with AWS marketplace
• Power device data collection

InsightFinder UIE 4.1

What’s New

• Composite knowledgebase and prediction enhancement
• Log receiving enhancement
• UIE memory enhancement
• New Unified Health View UI
• New Incident Prediction UI
• Security use cases
• Enhance daily/weekly reports
• Containerized jdk19 Microbrain
• Datadog integration enhancement

InsightFinder UIE 4.0

What’s New

• New insight dashboard
• Black mode UI
• Log and metric overview statistics page
• Knowledge base training
• Enhanced log search and query UI
• Enhanced user role and project management
• Enhanced action automation
• Integration with Azure cost
• Integration with Snowflake log and metric
• Integration with Splunk cloud

InsightFinder UIE 3.9

What’s New

• Enhanced core engine performance
• Enhanced incident investigation, log query page, file analysis UI
• Integration with AWS cost
• Integration with Google Cloud cost
• Integration with New Relic log and metric monitoring
• Integration with Confluent Kafka
• Precise alerting
• Batch updating project configurations