“Monitoring and observability”

Comprehensive monitoring, dashboards, and observability expertise.

Use for debugging DSPy programs, inspect_history, tracing LLM calls, custom callbacks, observability, monitoring, and cost tracking.

Monitoring and observability with Prometheus, Grafana, ELK Stack, and distributed tracing.

Observability patterns for Python applications.

Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch.

Monitor outbound deliverability health across domains, inboxes, DNS, bounces, spam placement, reply rates, and reputation signals.

Monitors task execution for skill improvement opportunities: logs patterns, user corrections and methodology worth preserving to the workspace, turns them…

Builds, configures, debugs, and optimizes AWS observability with CloudWatch (Log Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT (AWS…

Design observability strategies: SLI/SLO frameworks, alerting, and dashboards.

Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights

Query Auckland Council rainfall gauges and river or stream levels and flows.

Observability Designer (POWERFUL)

INTERNAL system health monitoring and logging

Monitors task execution for skill improvement opportunities.

**[REQUIRED]** For **ALL** data science and machine learning tasks.

AWS Bedrock AgentCore comprehensive expert for deploying and managing AI agents at scale.

This skill should be used when users want to create EdgeDelta pipelines, validate pipeline YAML configurations, deploy pipelines to EdgeDelta, or ask about…

**[REQUIRED]** for all Snowflake data governance tasks.

Cleanses observability logs and telemetry streams to defend autonomous AIOps agents against adversarial prompt injections and reward-hacking embedded in log…