Microsoft Azure
AI-driven analytics to Azure environments, interpreting data from Azure Monitor and Log Analytics to pinpoint issues across services.
Amazon Web Services
AI-powered anomaly detection and automated root cause analysis across AWS services using CloudWatch metrics.
Google Cloud
Real-time metrics, logs, and topology visualization across your entire Google Cloud infrastructure leveraging Stackdriver API.
Cloud Observability
Leverage AI to automatically detect issues and identify root causes across all cloud platforms and services by analyzing metrics published through respective APIs: Amazon CloudWatch, Azure Monitor, and Google Stackdriver.
Multi-cloud Visibility
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Ingests telemetry and logs by leveraging native APIs (Azure Monitor, CloudWatch, Stackdriver)
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Cross-Clouds Topology Mapping: Builds dynamic maps of services dependencies across cloud vendors, subscriptions and regions.
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Rich telemetry across multiple cloud services—spanning VM compute, storage, and networking
AI-Driven Correlation
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Cloud Service Status awareness: The AI agent correlates issues with cloud services status information and with connectivity performance from user's location.
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Topology-Based Root Cause Detection: Correlates issues using real-time dependency maps.
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Anomaly Detection & KPI monitoring: Detects unexpected usage patterns and KPI deviations using time-series analysis and adaptive baselining.
AI Insights & Dynamic Dashboards
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High-level dashboards across clouds and services with tagging and filtering support.
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Technical dashboards for deeper visibility into individual services
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AI insights in context to help teams resolve faster.