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01
Telemetry & Data Ingestion
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Collects logs, metrics, traces, events, topology, and service data from infrastructure, applications, cloud platforms, and monitoring tools.
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Connect Data Sources
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Ingest Telemetry
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Normalize / Enrich Data
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Feed AIOps Analysis
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Breadth of native data connectors
Streaming and batch ingestion support
Data normalization and enrichment quality
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02
Event Correlation & Noise Reduction
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Groups related alerts and events into meaningful incidents so operations teams can focus on fewer, higher-value signals.
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Receive Alerts / Events
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Compare Timing / Topology / Patterns
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Cluster Related Signals
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Create Consolidated Incident
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Correlation accuracy across heterogeneous tools
Alert suppression without hiding critical issues
Custom correlation and deduplication rules
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03
Anomaly Detection
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Identifies unusual behavior in infrastructure, applications, services, and performance data before static thresholds may be crossed.
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Learn Normal Behavior
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Monitor Live Telemetry
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Detect Deviation
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Score / Alert on Anomaly
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Dynamic baselines and seasonality handling
Sensitivity and false-positive controls
Coverage across metrics, logs, and events
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04
Root Cause Analysis
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Uses topology, dependencies, change data, and correlated telemetry to identify the likely source of incidents and service degradation.
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Detect Incident
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Map Dependencies / Changes
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Analyze Causal Signals
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Surface Likely Root Cause
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Dependency-aware analysis
Change-event correlation
Explainable root-cause evidence
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05
Service Topology & Dependency Mapping
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Builds visual relationships between applications, services, hosts, cloud resources, network components, and business services.
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Discover Resources
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Map Service Dependencies
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Link Telemetry to Topology
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Trace Incident Impact
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Automatic topology discovery
Real-time dependency updates
Business-service and application mapping
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06
Predictive Analytics & Capacity Forecasting
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Forecasts performance, resource usage, capacity constraints, and potential service risks using historical and real-time operational data.
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Analyze Historical Trends
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Model Future Demand / Behavior
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Forecast Threshold / Capacity Risk
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Recommend Preventive Action
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Forecast horizon and confidence indicators
Capacity and performance trend analysis
Support for seasonal workload patterns
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07
Automated Remediation & Runbook Automation
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Triggers predefined or conditional workflows to resolve common operational issues with limited manual intervention.
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Detect Incident / Condition
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Match Runbook / Policy
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Execute Remediation
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Verify Recovery
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Approval gates for high-risk actions
Rollback and verification steps
Integration with orchestration and automation tools
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08
Change Impact & Incident Intelligence
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Connects deployments, configuration changes, tickets, and operational events to incidents to help teams understand what changed before a problem appeared.
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Collect Change / Deployment Data
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Align with Incident Timeline
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Identify Relevant Change
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Support Faster Diagnosis
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Deployment and configuration change visibility
Timeline correlation across tools
Integration with ITSM and DevOps systems
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09
Generative AI Copilot & Natural-Language Operations
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Lets teams query operational data in natural language, summarize incidents, generate troubleshooting guidance, and accelerate investigation workflows.
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Ask Operational Question
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Retrieve Relevant Telemetry / Context
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Generate Summary / Recommendation
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Review & Act
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Grounding in live operational data
Source visibility and explainability
Guardrails for generated actions and recommendations
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10
AIOps Analytics & Service Health Reporting
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Measures incident volume, alert reduction, mean time to detect, mean time to resolve, service health, anomaly trends, and operational performance.
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Collect Incident / Telemetry Data
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Calculate AIOps KPIs
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Build Service Dashboards
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Improve Reliability Processes
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MTTD, MTTR, and alert-noise metrics
Service-level health and trend views
Custom and scheduled reporting
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11
Monitoring, ITSM, Cloud & DevOps Integrations
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Connects AIOps with observability platforms, monitoring tools, ITSM systems, cloud services, CI/CD pipelines, collaboration tools, and automation platforms.
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Connect Operations Systems
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Sync Events / Tickets / Changes
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Run AIOps Analysis
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Return Incidents / Actions / Updates
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Observability and monitoring integration depth
ITSM, cloud, and DevOps connectivity
API, webhook, and bi-directional data sync
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