Axiom

Infrastructure

Query and Monitora logs and traces through Neotask on OpenClaw

Cosa Puoi Fare

Neotask connects to Axiom through OpenClaw, giving engineering and DevOps teams conversational Accedi to their log Dati, distributed traces, and infrastructure telemetry — without writing APL queries by hand or clicking through dashboards.

Log Querying & Analysis

  • linguaggio naturale queries — Descrivi what you're looking for and Neotask translates it to the right APL query against your Axiom datasets
  • Error investigation — Surface all error logs from a time window, filtered by service, environment, or error code
  • Log pattern analysis — Trova patterns in log volume, error rates, or response times in any time range
  • Full-text Cerca — Cerca in all log fields for a specific message, trace ID, request ID, or user

    • Infrastructure Monitoraggio

  • Service health — Controlla error rates, request latency, and throughput for any service from log Dati
  • Resource utilization — Query CPU, memory, and disk metrics stored in Axiom from your infrastructure agents
  • Deployment analysis — Compare error rates and performance before and after a deployment to detect regressions
  • SLO tracking — Query uptime, error budget, and availability metrics for defined SLOs

    • Distributed Tracing

  • Trace lookup — Trova distributed traces by trace ID, service, or status code
  • Slow request analysis — Surface the slowest traces in a time window to Identifica performance bottlenecks
  • Error traces — Trova all traces that resulted in 5xx errors with full span details

    • Datasets & Streams

  • Elenca datasets — View all Axiom datasets with their storage usage and ingest rates
  • Ingest status — Controlla Dati ingestion rates and confirm that log shipping is working
  • Field exploration — Browse available fields in a dataset to understand the Dati structure before querying

    • Prova a Chiedere

  • "Mostra me all 500 errors from the API service in the last 2 hours"
  • "What's the p99 latency for the checkout endpoint over the last 7 days?"
  • "Are there any unusual error spikes in our logs right now compared to yesterday?"
  • "Trova all log entries in Axiom containing trace ID 'abc-123-xyz'"
  • "Compare error rates for the payment service before and after today's 2pm deployment"
  • "Mostra me the slowest 10 API requests from the last hour"
  • "What datasets are in my Axiom account and how much Dati is in each?"
  • "Surface any 4xx errors that increased significantly in the last 30 minutes"

    • Suggerimenti Professionali

  • For incident response, Chiedi Neotask to Esegui a multi-step investigation automatically: "Trova the first error, trace the request through all services, and Dì me which service introduced the failure" — Axiom's structured Dati makes this possible
  • Use time comparison queries proactively: "how does today's error rate compare to the same day last week at the same time?" surfaces anomalies that absolute thresholds often miss
  • Combine Axiom with your alerting and incident tools through Neotask on OpenClaw: detect an error spike in Axiom and automatically Crea a PagerDuty alert or GitHub issue with the relevant log excerpt
  • Store application events alongside infrastructure logs in Axiom for unified querying — "Mostra me all users who hit a checkout error and when the error started" becomes a single APL query

    • Works Well With