skills.rest
FlexNetOS
FlexNetOSCOMMUNITY
Explore all skills by this author →
GitHub

observability

Configure Prometheus, OpenTelemetry, and Grafana for robotics observability.

Updated Jan 12, 2026
Search Tags:#monitoring#observability#grafana#prometheus#opentelemetry#ros2#netdata
One-click install
npx skills add https://github.com/FlexNetOS/ripple-env --skill observability-flexnetos
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: observability
Source: https://github.com/FlexNetOS/ripple-env/tree/main/.claude/skills/observability
Command: npx skills add https://github.com/FlexNetOS/ripple-env --skill observability-flexnetos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Robotics deployments often suffer from hidden failures and performance bottlenecks due to fragmented telemetry. This skill provides centralized observability with metrics, traces, and dashboards to detect issues quickly and improve reliability.

Core Features & Use Cases

  • Prometheus-based metrics collection, alerting, and service discovery
  • OpenTelemetry integration for traces and metrics with OTLP exporters
  • Grafana dashboards and Netdata integration for real-time visualization
  • Observability across ROS2 nodes, microservices, and edge devices to support on-call and incident response

Quick Start

Set up Prometheus and OpenTelemetry exporters and view dashboards in Grafana to begin monitoring your robotics system.

Frequently Asked Questions about observability

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

FAQPage Schema
How do I set up end-to-end monitoring for ROS2 deployments?▼

Centralized observability for ROS2 deployments is achieved by configuring Prometheus for metrics collection and OpenTelemetry OTLP exporters for traces. This provides the necessary dashboards to detect hidden failures and bottlenecks across robotics nodes.

What is the best way to collect metrics and traces from robotics edge devices?▼

Collecting metrics and traces from edge devices is supported through Netdata for real-time visualization and OpenTelemetry integration. This provides centralized telemetry across microservices and edge devices to quickly detect performance bottlenecks.

Does this observability setup support Prometheus and Grafana configurations?▼

Yes, the observability setup fully supports Prometheus and Grafana configurations. It includes example Prometheus scrape configs and integrates with Grafana dashboards to provide real-time visualization for microservices and edge devices.

Can I use OpenTelemetry OTLP exporters for microservices monitoring?▼

Yes, you can use OpenTelemetry OTLP exporters for microservices monitoring. The integration supports exporting both traces and metrics, allowing you to gain observability across your microservices and edge devices.

Why do I need centralized observability for my robotics systems?▼

Centralized observability is needed for robotics systems because deployments often suffer from hidden failures and fragmented telemetry. By unifying metrics, traces, and dashboards, you can detect issues quickly and improve overall system reliability.

Related Skills

Explore More Software Engineering Skills→
adrielpadrielp
20

otel_collector

Configure OpenTelemetry Collector pipelines with receivers, processors, and exporters.

Community
Advanced
timequitytimequity
6

monitoring-setup

Set up Prometheus, Grafana, Loki, and Jaeger for Kubernetes observability.

Official
Advanced
drdave-flexnetosdrdave-flexnetos

observability

Collect metrics, traces, and system views for robotics observability.

Community
Intermediate
Lobbi-DocsLobbi-Docs
18

FastAPI Observability

Implement structured logging, Prometheus metrics, and OpenTelemetry tracing for FastAPI applications.

Official
Advanced