AI tools for “observability”
94 results (tools & skills) · 263 ms · understood as by meaning
Stop chasing alerts. Logz.io's AI-powered observability platform unifies logs, metrics, and traces to cut MTTR, automate root cause analysis, and get ahead of issues before they impact users.
Monitors, inventories, and assesses Google Cloud Managed Service for Apache Spark (Dataproc Serverless and Dataproc on Compute Engine) environments, clusters, batches, jobs, sessions, metrics, logs, costs, and…
Surface AIDP operational state — recently accessed resources and long-running async operations (status, completion, waiting). Use when the user asks "what happened recently", "what's running", "is that operation done…
AI agent developer tools, observability, and expertise. Leading the industry in AI agents. AgentOps and scaling agents to enterprise.
Analyze the most expensive users in AI observability and explain why they cost so much. Use when the user asks about top spenders, expensive users, per-user LLM cost, user-level cost drivers, or patterns behind high AI…
Production-ready MCP server infrastructure with TypeScript & Python SDKs, AI Gateway observability, auth, and managed deployment. Ship AI agents in minutes, not months.
…traces, logs, and metrics to DataRobot for monitoring, observability, and governance. Use when the user says "add tracing/observability/monitoring to my agent", wants to instrument an existing agent project in…
Add Pydantic Logfire observability to application code — traces, logs, metrics, and AI/agent spans. Use when the user asks to add or configure Logfire, observability, tracing, logging, or monitoring; maximize useful…
Arthur unites security, finance, and the teams shipping AI on one control plane for AI you can trust. Measure, monitor, and govern enterprise AI at scale.
…Use when the user pastes a trace or session URL (e.g. /ai-observability/traces/<id> or /ai-observability/sessions/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly,…
…to forward LLM and API spend to your own observability system. Use when adding cost/spend logging, building a cost observability integration, or forwarding per-request cost data to an external…
GenAI-Powered Monitoring & Observability Built for Kubernetes at Scale KubeHA is the first-of-its-kind GenAI-powered SaaS platform offering everything you need for Monitoring, Observability, Remediation, and Exploration…
…Cloud tracing, AgentforcePlatformTracingSettings, platform observability tracing, enable agent tracing, wants agent execution spans in Data Cloud, mentions .settings-meta.xml for AgentforcePlatformTracing, or asks…
…set up evaluators, online monitoring, CI/CD quality gates, observability, or cost optimization. Triggers on: "evaluate my agent", "add evaluator", "measure quality", "quality gate", "run evals", "agent too slow", "why…
Vectra AI delivers AI-native security and observability across network, identity, cloud, SaaS, and AI environments to reduce exposure, accelerate response, and strengthen cyber resilience.
…DCU/cost consumption, idle/zombie clusters, or workload observability (use @skill:gcp-spark-observability). - Troubleshooting failed Spark jobs or Dataproc batches (use…
Compare AI infrastructure tools across 9 categories: inference APIs, vector databases, LLM observability, fine-tuning, agents, and more. Pricing, EU hosting, and alternatives for each.
Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', 'set up…
The open-source observability database. Metrics, logs, and traces in one columnar engine on object storage, queried with SQL and PromQL.