InsightFinder Release Notes & Features Breakdown

InsightFinder UIE 5.1

New Capabilities

• AI Agent ARI – Your on-call SRE  MCP AI Agent  who provides continuous monitoring, anomaly detection, incident triage, incident prediction, and remediation.
• User Feedback center – Aggregate user feedbacks to a centralized dashboard and provide leaderboard on top feedback giving users.
• Feedback driven reinforcement learning – Continuously improve root cause analysis and recommendations based on user feedback.
• Causal graph visualization – Visualize all the incidents and causal chains in one consolidated causal graph with highlights of change events so that the user can view all causal relations between anomalies, incidents, and change events in one UI.
• Log2log transformation – Support log sub-string extraction from complex raw log data.
• Metric incident escalation – Support more flexible metric incident escalation
• RCA – Replace timeline dependency by Incident and Anomaly

Enhancements

• Log processing performance improvements – Improve the log processing speed by over 50%.
• Root cause analysis performance improvements – Improve the speed of root cause analysis by retrieving anomalies and incidents from raw data directly rather than through aggregation.

InsightFinder UIE 5.0

Summary

Recent updates include expanded SageMaker model monitoring, improved log bias detection, and more accurate incident recommendations. Enhancements to metric baselining, service map navigation, RCA performance, and incident notifications further strengthen InsightFinder’s AI/ML observability and reliability capabilities.

New Capabilities

• Distribution Anomaly Detection – New feature to detect abnormal distribution changes in log data.
• AI-Driven Incident Recommendations by Pattern & Zone – Enhanced guidance in incident investigations with targeted recommendations based on different patterns and zones.

Enhancements

• Metric Baseline Process – Improved metric baseline calculation for faster and more accurate metric analysis.
• Service Map Observability Filters & Dependency Search – Optimized filtering and dependency searching for faster navigation and insight discovery.
• AI-Powered Knowledge Base Recommendations – Refined rule matching for more relevant suggested actions.
• Composite Problems Display – Clearer layout and improved usability for viewing related incidents.
• Root Cause Analysis – Performance improvements for faster results with a faster RCA engine.
• Composite Incident Notifications – More concise and actionable email alerts.

InsightFinder UIE 4.9

Summary

Key improvements include faster metric processing through storage and detection optimizations, sub-minute anomaly detection, and enhanced RCA with AI-driven recommendations and root-cause chain notifications.

New capabilities include automatic Jira ticket creation, Databricks integration, programmatic project configuration, log-to-metric conversion, and expanded service visibility with dependency mapping. A Cassandra upgrade further improves platform performance and reliability.

What’s New

• Metric Data Storage Optimization
• Metric Anomaly Detection Optimization
• Metric Line Chart Loading Optimization
• Sub-minute Baseline Anomaly Detection
• Automated Jira Ticketing for Incidents
• Provided AI-driven Recommendations for Root Cause Analysis
• Added a Databricks Observability Integration
• Programmatic Project Configuration
• Log-to-metric Conversion Engine
• Combined Dependency and Service Map Visualization
• Email Notification for Root Cause Chain
• Cassandra Version Upgrade to 4.1.7

InsightFinder UIE 4.8

Summary

This release adds sub-minute anomaly detection, automated incident escalation, log outlier detection, and improved model drift detection. New AI Observability capabilities include LLM trace collection, drift workbenches, RCA timelines, and enhanced trace viewing.

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 automated incident 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

Summary

This release introduces advanced RCA with a new MI Causal Algorithm, full OpenTelemetry support, LLM-based RCA summaries, PSI drift detection, and new integrations with CloudWatch, Snowflake, and BigPanda. Additional enhancements improve metric aggregation, PDF exports, RCA ranking, knowledge base management, API security, Prometheus configuration, and Elastic log processing performance.

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

Summary

This release introduces InsightFinder Co-Pilot for AI-driven incident recommendations, a drag-and-drop log analyzer for fast anomaly detection, and major CDF enhancements for model comparison and filtering. Additional improvements include upgraded UI/UX for collectors and causal graphs, new log-to-metric aggregation options, improved anomaly dampening, faster unified health views, more accurate RCA, and new data ingestion integrations for Dynatrace and Snowflake.

What’s New

• InsightFinder Co-Pilot
  • Introduced a new LLM-powered 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 advanced CDF 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

Summary

This release adds CDF-based model drift detection and enhanced log-to-metric analysis for deeper machine learning observability. UI upgrades include incident summaries, consolidated related incidents, embeddable heatmaps and service maps, and a new actions page for triggered workflows. Additional improvements support data zoning for security, better performance, and Kubernetes trace collection via OpenTelemetry.

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

InsightFinder UIE 3.8

What’s New

• Enable Google single sign on and Microsoft AD sign on for
  users
• Integrations with Azure Cloud monitoring
• Enhanced log-to-metric features with filters and project
  auto-creation
• Two way integration with Datadog
• Two way integration with PagerDuty
• Two way integration with Teams
• Two way integration with Slack

InsightFinder UIE 3.7

What’s New

• Implemented global knowledge base, improve incident prediction accuracy
• Enabled Daily report features for users
• Integrations with OpenTelemetry
• Integrations with Google ads
• Integrations with Google big query
• Integrations with Zendesk
• Integrations with Sumologic
• Integrations with Kafka