data-telemetry-expert

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Expert guide for observability, analytics, telemetry, and data pipelines (OpenTelemetry, PostHog, Mixpanel) / Panduan ahli untuk observabilitas, telemetri, dan analitik.

AI & Automation 46 stars 9 forks Updated 3 days ago MIT

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Quality Score: 87/100

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100
Frontmatter 20%
70
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Issue Health 10%
50
License 10%
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Description 5%
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Skill Content

# Data & Telemetry Expert (OpenTelemetry 1.x / ClickHouse Edition) [English](#english) | [Bahasa Indonesia](#bahasa-indonesia) --- <a name="english"></a> ## English ### Orchestration & Integration Connects and orchestrates with relevant domain skills like `brainstorming`, `zero-to-prod-orchestrator`, and `project-context-mapper` to ensure cohesive execution. ### Description Expert guide for production observability, product analytics, and data pipelines. Covers **OpenTelemetry 1.x** (stable, vendor-neutral traces/metrics/logs), **PostHog** (open-source product analytics), **ClickHouse** (OLAP analytics database), Grafana stack, and AI agent observability patterns. ### Trigger Conditions - Adding distributed tracing to a microservice or Next.js application. - Setting up structured logging and metrics collection. - Implementing product analytics (funnel analysis, feature flags, session replay). - Building a high-performance analytics pipeline with ClickHouse. - Monitoring AI agent runs, LLM token costs, and response quality. ### OpenTelemetry 1.x — Vendor-Neutral Observability OpenTelemetry (OTel) is the CNCF standard for generating traces, metrics, and logs from any application. #### Three Pillars of OTel | Signal | What It Captures | Example | |---|---|---| | **Traces** | Request flow across services | `GET /api/users` → DB query → cache | | **Metrics** | Numeric measurements over time | `http_requests_total`, `db_query_duration` | | **Logs** | Structured event reco...

Details

Author
roedyrustam
Repository
roedyrustam/vibes-plug
Created
3 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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