analyzing-tdigest-metrics
CommunityAnalyze tdigest latency percentiles.
System Documentation
What problem does it solve?
TDigest metrics store pre-aggregated percentile data, enabling efficient latency analysis and SLO validation. This Skill abstracts the pattern and provides actionable guidance to compute p50, p95, and p99 from tdigest data.
Core Features & Use Cases
- TDigest pattern guidance: Correct double-combine pattern with tdigest_combine and m_tdigest in OPAL for accurate percentiles.
- Latency analysis & Use Case: Compute p50, p95, p99 to understand tail latency and service level compliance across services and environments.
- Time-series and grouping: Analyze percentiles per service/environment and track trends over time to identify degradation.
Quick Start
Identify a tdigest metric with discover_context("duration tdigest", result_type="metric"), then construct an OPAL query using align combined:tdigest_combine(m_tdigest("metric_name")), aggregate p50/p95/p99 with tdigest_quantile(tdigest_combine(combined), 0.50/0.95/0.99), optionally group_by(service_name, environment), and convert nanoseconds to milliseconds for readability.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: analyzing-tdigest-metrics Download link: https://github.com/rustomax/observe-community-mcp/archive/main.zip#analyzing-tdigest-metrics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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