Observability Framework

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An Observability Framework is a monitoring framework that supports the creation of an observability system (that collects and analyzes telemetry data, such as metrics, logs, and traces).

  • Context:
    • It can (typically) include components such as:
      • Metrics collection systems, which gather numerical data points that indicate the performance and health of the system (e.g., CPU usage, memory consumption).
      • Logging systems, which capture detailed logs of events and errors that occur within the system.
      • Tracing systems, which track the flow of requests across different services and components within a distributed system.
    • It can (often) integrate with various tools and platforms like Prometheus, Elasticsearch, Jaeger, and OpenTelemetry.
    • It can range from being simple single-node monitoring setups to complex multi-cloud observability solutions.
    • It can (often) provide real-time dashboards and alerting mechanisms to notify stakeholders about performance issues or anomalies.
    • It can (typically) be used by DevOps, SRE (Site Reliability Engineering), and IT operations teams to ensure system reliability and performance.
    • It can (often) require the configuration of agents or collectors on the monitored systems to gather and forward telemetry data.
    • ...
  • Example(s):
    • Prometheus Framework as an example of a metrics collection and monitoring tool.
    • Elasticsearch and Kibana for log analysis and visualization.
    • Jaeger for distributed tracing in microservices architectures.
    • OpenTelemetry as a unified framework for instrumenting, generating, collecting, and exporting telemetry data.
    • ...
  • Counter-Example(s):
  • See: OpenTelemetry, Prometheus, Jaeger, Elasticsearch


References