monitoring▌

用于基于 Tushare 的 A 股市场监测，重点支持：

Track web page changes, detect availability issues, and preserve content with multiple monitoring strategies. \n \n Supports four major monitoring services (Visualping, ChangeTower, Distill.io, UptimeRobot) with different strengths: visual change detection, compliance archiving, element-level tracking, and uptime monitoring \n Includes ready-to-use Python implementations for local page monitoring with hash-based change detection, element selectors, and automatic archiving \n Covers RSS feed gene

Automatically detect and configure Sentry monitoring for LLM calls, agents, and AI SDKs. \n \n Auto-detects installed AI packages (OpenAI, Anthropic, LangChain, Google GenAI, Vercel AI, Pydantic AI, and others) and enables appropriate integrations with zero manual registration in Python \n Requires tracing enabled ( tracesSampleRate > 0 ) and supports manual span instrumentation via gen_ai.* operation types for unsupported SDKs \n Captures model, token counts, and latency by default; prompt and

sentry-setup-ai-monitoring

OCI monitoring setup, alarm configuration, and troubleshooting for metrics, logs, and observability gaps. \n \n Covers metric namespace patterns, alarm threshold gotchas (sparse data handling, trigger delays), and missing data strategies across OCI services \n Provides decision trees for log collection troubleshooting, Service Connector setup, and IAM policy requirements \n Highlights critical anti-patterns: metric lag (10-15 minutes), dimension requirements, notification channel setup, and Clou

Comprehensive monitoring, logging, metrics, tracing, and performance testing implementation for production systems. \n \n Covers structured logging (Pino/JSON), Prometheus metrics (counters, histograms, gauges), and OpenTelemetry distributed tracing with span instrumentation \n Includes Prometheus alerting rule configuration, RED/USE dashboard design patterns, and health check endpoint setup \n Provides load testing with k6 and Artillery, application profiling for CPU/memory bottlenecks, and cap

Monitor brand reputation across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. \n \n Supports 16+ dedicated Apify Actors covering reviews, ratings, comments, and mentions across all major platforms \n Flexible output formats: display results in chat, export to CSV, or save as JSON for downstream analysis \n Requires Apify token and Node.js 20.6+; uses mcpc CLI to dynamically fetch Actor schemas and input parameters \n Workflow guides users through platform selec

Set up comprehensive uptime monitoring with health checks, status pages, and incident tracking to ensure visibility into service availability.

Comprehensive monitoring setup with metrics collection, log aggregation, alerting, and health checks. \n \n Covers Prometheus for metrics instrumentation, Grafana dashboards for visualization, and structured logging with Winston for log aggregation \n Includes pre-built alert rules for high error rates, slow response times, pod failures, and resource saturation \n Provides advanced health check endpoints that test database, cache, and external API dependencies with latency tracking \n Implements