observability

Collect logs, metrics, and traces for ERP•AI observability.

2|1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/erphq/skills --skill observability-erphq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: observability
Source: https://github.com/erphq/skills/tree/main/departments/information-technology/03-org-1k-plus/observability
Command: npx skills add https://github.com/erphq/skills --skill observability-erphq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Observability provides the visibility needed to understand enterprise systems by collecting and analyzing logs, metrics, and traces, enabling reliability, performance management, and rapid incident response in ERP•AI.

Core Features & Use Cases

  • Three Pillars: Logs, Metrics, and Traces with ERP-specific guidance for multi-tenant deployments.
  • Alerting, incident response, SLA monitoring, health checks, and synthetic monitoring to detect and respond to problems early.
  • Capacity planning and runbook automation to prevent outages and speed MTTR.

Quick Start

Configure a basic observability stack for your ERP•AI deployment and verify logs, metrics, and traces.

Frequently Asked Questions about observability

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

FAQPage Schema
How do I set up observability for a multi-tenant SaaS deployment?

Multi-tenant SaaS observability requires collecting logs, metrics, and traces with structured logging and correlation IDs to maintain tenant context. You enforce SLAs by applying dashboards, alerts, and synthetic monitoring across your ERP•AI deployment.

What is the best way to monitor ERP application SLA enforcement and capacity planning?

SLA enforcement and capacity planning are monitored by collecting metrics and applying capacity forecasting to prevent outages. Health checks and synthetic monitoring detect problems early, while dashboards visualize system reliability for ERP•AI applications.

How do I trace incidents in enterprise applications using logs and metrics?

Tracing incidents in enterprise applications requires trace propagation across logs, metrics, and traces using correlation IDs. This end-to-end visibility enables rapid incident response and reduces mean time to resolution through runbook automation.

Does enterprise observability require structured logging for incident response?

Enterprise observability requires structured logging with correlation IDs and tenant context to support rapid incident response. This structured approach allows you to accurately trace issues, enforce SLAs, and execute runbook automation during outages.

When do I need synthetic monitoring and health checks for ERP systems?

Synthetic monitoring and health checks are needed to detect and respond to system problems early in ERP deployments. They verify availability, support SLA enforcement, and complement capacity forecasting to prevent outages before they impact users.

Why does trace propagation fail without correlation IDs in multi-tenant environments?

Trace propagation fails without correlation IDs because logs, metrics, and traces cannot be linked across multi-tenant contexts. Structured logging with tenant context is required to maintain end-to-end visibility and enforce SLAs in enterprise SaaS deployments.