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Observability and Monitoring

Introduction​

AI DIAL leverages the power of OpenTelemetry (OTEL) to provide comprehensive observability into your AI system. This framework offers a unified and vendor-agnostic approach to collecting, processing, and exporting telemetry data, making it ideal for cloud-native environments.

AI DIAL empowers you with:

  • Unified Observability: Gain a holistic view of your AI system's health and performance.
  • Vendor Agnosticity: Flexibility to choose from a variety of compatible backend systems.
  • Deep Insights: Analyze detailed metrics and traces to understand system behavior and identify bottlenecks.
  • Simplified Monitoring: Standardized data collection and powerful visualization tools streamline the monitoring process.

AI DIAL's robust observability features, powered by OpenTelemetry and Prometheus, provide you with the tools and insights needed to ensure the reliability, performance, and scalability of your AI solutions.

Refer to Observability to see configuration guidelines and tutorials.

Main Concepts​

OpenTelemetry: A Unified Approach​

OpenTelemetry standardizes the collection of traces, metrics, and logs across distributed systems. Through its unified set of APIs, libraries, and agents, developers can seamlessly capture valuable telemetry data from their applications. This data can then be exported to various backend systems for analysis and visualization.

Metrics Collection and Storage​

AI DIAL gathers metrics for both the entire system and individual components. These metrics are stored in time-series databases such as Prometheus, known for its ability to handle large volumes of time-series data. You can use any OTEL Collector such as Prometheus, Jaeger, Fluentd, Zipkin and other.

Visualization and Analysis​

The collected metrics can be visualized and analyzed using powerful tools like Grafana, providing deep insights into system performance and enabling timely detection of issues.

Prometheus: A Scalable Monitoring Solution​

AI DIAL also supports Prometheus, a popular open-source monitoring and alerting toolkit. Prometheus excels in dynamic environments due to its flexible architecture, making it a natural fit for cloud-native applications and microservices.

Prometheus Operator for Kubernetes​

For deployments on Kubernetes, AI DIAL utilizes the Prometheus Operator, which simplifies the management of Prometheus clusters within the Kubernetes ecosystem.