~/talk

AI and Observability Role in an E-Government Ecosystem

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E‑government platform serving 5M users and 4M eIDs and handling 60 million requests per month runs hundreds of heterogeneous services (on‑prem plus Kubernetes in cloud). Telemetry pipeline uses OpenTelemetry collectors, Fluentd/Fluent Bit, Prometheus, and stores logs/traces/metrics in OpenSearch with Grafana/OpenSearch dashboards and Jupyter analysis. Anomaly detection uses a convolutional autoencoder trained unsupervised then iteratively relabeled and retrained; neural models beat classical methods but require longer training. Alerts group identical errors and route to dedicated email; continuous pipeline rollout is planned.

AI-written summary · about

  1. 0:00Start
  2. 4:56Data processing phases
  3. 8:54Data storage & analysis
  4. 14:32Anomaly detection
  5. 16:39Summary
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