infrastructure

Validate anomaly detection pipeline infrastructure across Docker Compose, Kafka, Redis, TimescaleDB, Prometheus, and Grafana.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/GaneshMadarasu/real-time-anomaly-detection-pipeline --skill infrastructure-ganeshmadarasu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: infrastructure
Source: https://github.com/GaneshMadarasu/real-time-anomaly-detection-pipeline/tree/main/.claude/skills/infrastructure
Command: npx skills add https://github.com/GaneshMadarasu/real-time-anomaly-detection-pipeline --skill infrastructure-ganeshmadarasu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you keep the real-time anomaly detection pipeline infrastructure consistent, healthy, and production-ready across Docker, Kafka, Redis, TimescaleDB, Prometheus, and Grafana.

Core Features & Use Cases

  • Compose and service orchestration: Standardizes service wiring, health checks, dependencies, ports, and environment loading in the multi-container stack.
  • Database and schema setup: Applies TimescaleDB initialization, hypertable rules, and index conventions for event, drift, alert, and model tables.
  • Monitoring and observability: Configures Prometheus scraping and Grafana provisioning for dashboards and datasource stability.
  • Build and dependency hygiene: Enforces consistent Dockerfile layering and exact dependency pinning across application services.
  • Use Case: Update the pipeline with a new microservice while preserving networking, startup order, metrics exposure, and database conventions.

Quick Start

Use this skill to review or update the anomaly detection pipeline infrastructure so the Compose stack, database schema, monitoring configuration, and service build patterns stay aligned with the repository rules.

Frequently Asked Questions about infrastructure

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

FAQPage Schema
How do I configure Docker Compose health checks and dependency ordering for a Kafka streaming stack?

Docker Compose health checks and dependency ordering are configured by standardizing service wiring, enforcing startup sequences, and validating port mappings across multi-container stacks to keep the streaming pipeline consistent and healthy.

How do I set up TimescaleDB hypertable indexing rules for a real-time anomaly detection pipeline?

TimescaleDB hypertable indexing rules are applied by validating database initialization scripts, enforcing hypertable conventions, and standardizing schema setups for event, drift, alert, and model tables in the fraud detection stack.

What's the best way to provision Grafana dashboards and Prometheus scrape targets for infrastructure monitoring?

Provisioning Grafana dashboards and Prometheus scrape targets involves validating monitoring configuration, enforcing scrape target rules, and ensuring datasource stability to maintain observability across the real-time anomaly detection pipeline.

Does this infrastructure validation approach support pinned Python dependencies and Dockerfile layering?

Yes, the infrastructure validation supports pinned Python dependencies and Dockerfile layering by enforcing exact version pinning and consistent build patterns across application services to maintain dependency hygiene.

Why does my real-time fraud detection stack fail to start with correct service networking and environment loading?

Startup failures in the fraud detection stack often stem from misconfigured service wiring, incorrect dependency ordering, or invalid environment loading, which infrastructure validation resolves by standardizing Compose service orchestration rules.

Can I add a new microservice to a Docker Compose stack while preserving TimescaleDB and Prometheus conventions?

Yes, adding a new microservice is supported by validating networking, startup order, metrics exposure, and database conventions, ensuring the new service aligns with existing Compose, TimescaleDB, and monitoring configurations.