What platforms does this skill support?

It currently supports major observability platforms including Datadog (JSON dashboards/monitors), Prometheus (YAML recording rules and alerts), and Splunk (XML dashboards and saved searches).

These are requirement identifiers used to map specific software requirements to their corresponding telemetry data, allowing for granular monitoring of individual features.

Does it modify my application source code?

This skill primarily generates infrastructure and configuration files for your monitoring stack and provides the necessary tagging patterns for you to implement in your code's telemetry.

Can it handle SLA monitoring?

Yes, the skill is designed to create monitors and alerts that track Service Level Agreement (SLA) violations, such as p95 latency thresholds or minimum success rates.

Requirement-Based Observability Config

Name: Requirement-Based Observability Config
Author: foolishimp

byfoolishimp

Analíticas y Monitorización

Configures requirement-level observability for Datadog, Prometheus, and Splunk to track SLAs and performance metrics.

Acerca de

This skill enables developers to automatically generate production-ready observability configurations mapped directly to functional and non-functional requirements (REQ-*). It streamlines the setup of dashboards, monitors, and alerts across major platforms like Datadog, Prometheus, and Splunk, ensuring every feature has associated success rates, latency tracking, and error logs. By linking telemetry to specific requirement IDs, teams gain full-lifecycle traceability and can monitor the health of specific business goals in real-time.

Características Principales

Multi-platform support for Datadog, Prometheus, and Splunk
Integrated trace visualization with requirement-to-metric mapping
Automatic dashboard generation for specific requirements (REQ-ID)
SLA-based alerting for latency, error rates, and success thresholds
0 GitHub stars
Log aggregation with requirement-specific tagging and filtering

Casos de Uso

Enforcing SLA compliance through automated requirement-level alerts
Setting up production monitoring for a new feature launch
Improving incident response with requirement-to-metric traceability

Acerca de

Características Principales

Multi-platform support for Datadog, Prometheus, and Splunk
Integrated trace visualization with requirement-to-metric mapping
Automatic dashboard generation for specific requirements (REQ-ID)
SLA-based alerting for latency, error rates, and success thresholds
0 GitHub stars
Log aggregation with requirement-specific tagging and filtering

Casos de Uso

Enforcing SLA compliance through automated requirement-level alerts
Setting up production monitoring for a new feature launch
Improving incident response with requirement-to-metric traceability