Take control of all your Telemetry Data with CloudFabrix Robotic Observability Pipelines
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CloudFabrix's Telemetry Pipeline is a core component of its Robotic Data Automation Fabric (RDAF). It's designed to efficiently ingest, process, and route telemetry data from various sources to support comprehensive observability and AIOps.
In essence, CloudFabrix's telemetry pipeline is designed to not only collect and process telemetry data but also to extract maximum value from it through AI-driven analytics and integration with the broader AIOps platform.
- Unified Data Ingestion: Handles a wide range of telemetry data types, including metrics, logs, and traces.
- Real-time Processing: Provides low-latency processing for timely insights.
- Data Enrichment: Adds context and relationships to telemetry data for deeper analysis.
- Anomaly Detection: Leverages AI and machine learning to identify abnormal patterns in telemetry data.
- Predictive Analytics: Forecasts potential issues based on historical telemetry data.
- Root Cause Analysis: Correlates telemetry data to pinpoint the root cause of incidents.
- Data Routing: Flexibly routes processed telemetry data to various destinations, such as data lakes, analytics platforms, and visualization tools.
CloudFabrix's telemetry pipeline stands out due to its integration with the broader RDAF platform and its focus on AIOps.
- AIOps Integration: Telemetry data is used to feed AI-driven models for anomaly detection, predictive analytics, and automated incident response.
- Data Enrichment: CloudFabrix excels at enriching telemetry data with contextual information from other data sources, improving the overall value of the data.
- Unified Data Model: Telemetry data is integrated into a unified data model, enabling correlation with other data types for comprehensive analysis.
- Improved Observability: Provides a holistic view of IT infrastructure and applications.
- Accelerated Incident Response: Enables faster identification and resolution of issues.
- Optimized Resource Utilization: Identifies performance bottlenecks and recommends optimizations.
- Enhanced Decision Making: Provides data-driven insights for informed decision-making.
Infra Observability
Systems and Infrastructure Observability based on Open Source Technologies
- Proactive monitoring and reporting - Enabled by Prometheus, Grafana, Telegraf
- Log and Event ingestion and reporting - Enabled by ELK stack
- Application traces ingestion and reporting - Enabled by Open Telemetry, Jaeger
- Continuous Asset Discovery and relationship discovery - Enabled by cfxEdgeCollector
- Anomaly detection and automatic alerting - Enabled by cfxEdgeAI
