Analyze Axiom query patterns to identify ingested but unqueried data.
npx skills add https://github.com/axiomhq/skills --skill controlling-costs
Please help me install this Agent Skill. Skill: controlling-costs Source: https://github.com/axiomhq/skills/tree/main/skills/controlling-costs Command: npx skills add https://github.com/axiomhq/skills --skill controlling-costs
This skill helps operators identify data ingested but never queried, enabling cost control by surfacing waste and guiding data-management decisions.
Use the controlling-costs skill alongside axiom-sre and building-dashboards, configure your Axiom deployments, and run baseline-stats, deploy-dashboard, and create-monitors as outlined in the README to start cost optimization.
High-intent search queries and answers about installing and using this skill.
To identify ingested data that is never queried in Axiom, analyze query patterns using the axiom-audit and axiom-history datasets to find unqueried columns and field values, enabling targeted data pruning and waste reduction.
You create a cost control dashboard for Axiom data ingest by estimating event volumes and deploying a dashboard that tracks ingest volume and breaks down costs across your infrastructure and application datasets.
Yes, you can create monitors to detect Axiom ingest spikes and query cost anomalies, supporting proactive cost management by alerting you to sudden data volume increases or unusual query spending patterns across your datasets.
To analyze Axiom query costs and data waste, you need access to the axiom-audit and axiom-history datasets, the axiom-sre and building-dashboards skills, and command-line utilities like jq and axiom-query for data processing.
The best way to reduce Axiom spending on unused telemetry data is to run a baseline analysis of query coverage, deploy a cost-control dashboard to surface waste, and create monitors to detect ingest spikes and query-cost anomalies.
Yes, the cost control workflow works with infrastructure and application datasets, targeting them to identify data ingested but rarely used, estimate event volumes, and guide data-management decisions for cost optimization.
vm0-aiQuery Axiom datasets with time filters and output tabular results.
shawnriceManage Datadog log search, processing, archiving, and cost control.
AradotsoQuery and analyze logs across API, web, and desktop services with Axiom.
BlackkadderQuery Unity Catalog system tables and perform volume file operations.
