Observability and Monitoring

AIStor provides full-stack observability through native Prometheus metrics, OpenTelemetry distributed tracing, and multi-target log streaming to HTTP webhooks or Kafka. Built-in console monitoring delivers real-time dashboards with 24-hour retention for immediate diagnostics. Zero agents required.
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Diagram showing AI’STOR in the center connected to four components: Prometheus, OpenTelemetry, Log Streaming, and Console.

Enterprise Observability Architecture

Native metrics, tracing, and logging integrations with built-in real-time monitoring.

Get the Complete Technical Details

View our comprehensive product brief for architecture diagrams, platform integration guides, erasure coding configuration, and scaling details for observability workloads.
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Observability platform integration (Splunk, Elastic, Grafana)
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Erasure coding vs. replication comparison
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Historical query speed benchmarks
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Multi-TB/s ingest and linear scaling architecture

Why AIStor is Different

Traditional storage observability requires deploying agent sidecars, configuring metric exporters, and polling proprietary APIs. Organizations piece together separate tools for metrics, tracing, and logging, each with different configuration patterns and failure modes. When incidents occur, operators switch between disconnected systems to correlate data and identify root causes. AIStor delivers unified observability with zero agents and native protocol support.
Zero Agent Architecture
Prometheus HTTP scraping replaces host agents and sidecars
Native OpenTelemetry Tracing
Built-in OTLP export without external instrumentation
Dual Observability Layers
Historical metrics plus real-time console for full context
Per-Bucket Metric Granularity
Tenant-level usage tracking for chargeback and billing (8)

Business Impact

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Additional Resources