loki-label-analyzer

Audit Loki label schemas to reduce stream cardinality and accelerate LogQL queries.

Updated Mar 18, 2026

Search Tags:#performance #observability #sre #logql #loki #label #cardinality

Ready to run

npx skills add https://github.com/Canepro/codex-skills --skill loki-label-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: loki-label-analyzer
Source: https://github.com/Canepro/codex-skills/tree/main/skills/loki-label-analyzer
Command: npx skills add https://github.com/Canepro/codex-skills --skill loki-label-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps teams assess and improve Loki log label design to reduce cardinality, speed up queries, and enforce consistent labeling across services.

Core Features & Use Cases

Audit and optimize Loki label schemas to reduce stream counts and improve query performance.
Assess label value patterns (static vs dynamic) and alignment with common LogQL queries to ensure efficient filtering.
Provide actionable design recommendations for LBAC-ready labeling and cross-service consistency, with practical examples.

Quick Start

Provide your Loki log samples and a few representative queries, and I will generate a prioritized label strategy plan.

Frequently Asked Questions about loki-label-analyzer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I reduce high cardinality in Grafana Loki labels?▼

To reduce high cardinality in Grafana Loki labels, audit your schema to identify dynamic values causing excessive streams, then optimize labels to align with LogQL queries and enforce cross-service consistency for faster performance.

Why does my Loki LogQL query take so long to return results?▼

Loki LogQL queries run slowly when high stream cardinality forces the engine to scan excessive data. Auditing label value patterns and removing dynamic labels aligns filtering with query targets to accelerate results.

How do I audit a Loki label strategy for faster queries?▼

You audit a Loki label strategy by providing log samples and representative LogQL queries to generate a prioritized plan, assessing static versus dynamic values to reduce stream counts and improve filtering.

When should I use static vs dynamic labels in Loki?▼

Use static labels in Loki for consistent service-level filtering, and avoid dynamic labels for high-cardinality fields to prevent stream explosion. Evaluate value patterns against actual LogQL queries to decide.

Can I enforce consistent log labeling across multiple services in Loki?▼

Yes, you can enforce consistent log labeling across services by applying design governance recommendations, ensuring labels are LBAC-ready and aligned across environments to maintain query efficiency and security.