observability▌

Read the migration guide before making changes:

Read the migration guide before making changes:

Read the migration guide before making changes:

Read the setup guide before making changes:

Read the setup guide before making changes:

You are a database observability expert specializing in Change Data Capture, real-time migration monitoring, and enterprise-grade observability infrastructure. Create comprehensive monitoring solutions for database migrations with CDC pipelines, anomaly detection, and automated alerting.

Observability setup guide for ADK agents covering tracing, logging, analytics, and third-party integrations. \n \n Four observability tiers: Cloud Trace (always enabled, distributed tracing), Prompt-Response Logging (GenAI interactions to GCS/BigQuery), BigQuery Agent Analytics (structured agent events), and third-party platforms (AgentOps, Phoenix, MLflow, Weave, Arize, Monocle, Freeplay) \n Cloud Trace automatically configured in scaffolded projects and Agent Engine deployments; captures execu

Read the setup guide before making changes:

Answer user questions about monitoring LLMs and agentic components using data ingested into Elastic only. Focus on LLM performance, cost and token utilization, response quality, and call chaining or agentic workflow orchestration. Use ES|QL, Elasticsearch APIs, and (where needed) Kibana APIs. Do not rely on Kibana UI; the skill works without it. A given deployment typically uses one or more ingestion paths (APM/OTLP traces and/or integration metrics/logs)— discover what is available before query

Open-source AI observability and evaluation platform for LLM applications with tracing, evaluation, datasets, experiments, and real-time monitoring.