AI Audit Trail
Immutable logging of AI system decisions, inputs, outputs, and metadata for regulatory compliance, debugging, and accountability.
Logging
AI Log Pattern Analysis and Anomaly Detection
AI analyzes application logs to identify unusual patterns, correlate errors across services, and surface emerging issues before they become …
Azure Monitor - Full-Stack Observability Platform
Azure Monitor is Microsoft's comprehensive observability platform that collects, analyzes, and acts on telemetry from cloud and on-premises …
Elastic Stack (ELK)
What the Elastic Stack is, how Elasticsearch, Logstash, and Kibana work together, and when to use it for log management.
OpenTelemetry - Observability Framework Standard
OpenTelemetry is a vendor-neutral open-source observability framework for generating, collecting, and exporting telemetry data (traces, …
Amazon CloudWatch - Monitoring and Observability for AI
Using Amazon CloudWatch for AI workloads: custom metrics for LLM cost and token usage, alarms for model quality, log insights for inference …
Observability
What observability means, the three pillars of logs, metrics, and traces, and why AI systems need specialized observability for token costs, …