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wshobson/observabilidad-de-malla-de-servicios

Implementa observabilidad integral para mallas de servicios, incluyendo trazado distribuido, métricas y visualización. Útil al configurar monitoreo de malla, depurar problemas de latencia o implementar SLOs para la comunicación entre servicios.

¿Qué es observabilidad-de-malla-de-servicios?

Esta habilidad permite implementar observabilidad completa para mallas de servicios, abarcando trazado distribuido, recolección de métricas y visualización de datos. Es especialmente útil para configurar monitoreo de mallas como Istio o Linkerd, diagnosticar problemas de latencia entre microservicios, y definir y rastrear Acuerdos de Nivel de Servicio (SLOs) para la comunicación entre servicios. Compatible con plataformas de gestión de mallas populares y herramientas de observabilidad como Prometheus, Grafana y Jaeger, la habilidad automatiza la configuración de dashboards, alertas y paneles de rendimiento. Mediante el uso de scripts y archivos de configuración, simplifica el despliegue de una pila de observabilidad que proporciona visibilidad en tiempo real del tráfico de la malla, permitiendo a los equipos de DevOps y desarrolladores detectar y resolver cuellos de botella de manera proactiva.

Compatible con~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/wshobson/agents/tree/main/skills/service-mesh-observability

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Documentación

¿Qué hace observabilidad-de-malla-de-servicios?

Implementa observabilidad integral para mallas de servicios, incluyendo trazado distribuido, métricas y visualización. Útil al configurar monitoreo de malla, depurar problemas de latencia o implementar SLOs para la comunicación entre servicios.

Descripción General

Esta habilidad automatiza la configuración de herramientas de observabilidad para mallas de servicios (como Istio, Linkerd, o Consul Connect). Proporciona scripts y configuraciones para:

  • Trazado distribuido: Configuración de Jaeger o Zipkin para rastrear solicitudes a través de microservicios.
  • Métricas: Recolección de métricas de la malla con Prometheus.
  • Visualización: Dashboards predefinidos en Grafana para monitorear el rendimiento y la salud de la malla.
  • Alertas: Reglas de alerta basadas en métricas clave como latencia, tasa de error y throughput.

Requisitos

  • Una malla de servicios en funcionamiento (Istio, Linkerd, etc.).
  • kubectl configurado para el clúster objetivo.
  • Acceso para instalar Helm charts si se requiere.

Uso

  1. Ejecute el script de instalación: ./setup-observability.sh
  2. Siga las instrucciones para seleccionar las herramientas a desplegar.
  3. Acceda a los dashboards a través de los puertos expuestos (ver salida del script).

Personalización

Modifique los archivos en el directorio config/ para ajustar:

  • Dimensiones de dashboards
  • Umbrales de alertas
  • Fuentes de datos (datasources)

Ejemplo de Configuración de Dashboards

grafana:
  dashboards:
    - name: "Service Mesh Overview"
      datasource: "Prometheus"
      panels:
        - title: "Latencia P99"
          query: "histogram_quantile(0.99, ...)"

Referencias

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

wshobson/accessibility-compliance

Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.

wshobson/airflow-dag-patterns

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

wshobson/angular-migration

Migrate from AngularJS to Angular using hybrid mode, incremental component rewriting, and dependency injection updates. Use when upgrading AngularJS applications, planning framework migrations, or modernizing legacy Angular code.

wshobson/anti-reversing-techniques

Understand anti-reversing, obfuscation, and protection techniques encountered during software analysis. Use this skill when analyzing malware evasion techniques, when implementing anti-debugging protections for CTF challenges, when reverse engineering packed binaries, or when building security research tools that need to detect virtualized environments.

wshobson/api-design-principles

Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.

wshobson/architecture-decision-records

Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.

wshobson/architecture-patterns

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.

wshobson/async-python-patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

wshobson/attack-tree-construction

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

wshobson/auth-implementation-patterns

Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.

wshobson/avoid-ai-writing

Audit and rewrite prose so it stops reading as machine-generated. Use this skill when asked to remove AI-isms, clean up AI writing, edit a draft for AI tells, audit a README, changelog, release note, PR description, or blog post for machine-sounding prose, or make text sound less like AI. Supports a detect-only mode, a rewrite mode, and an edit-in-place mode, with optional voice and context profiles.

wshobson/backtesting-frameworks

Build robust backtesting systems for trading strategies with proper handling of look-ahead bias, survivorship bias, and transaction costs. Use when developing trading algorithms, validating strategies, or building backtesting infrastructure.

wshobson/bash-defensive-patterns

Master defensive Bash programming techniques for production-grade scripts. Use when writing robust shell scripts, CI/CD pipelines, or system utilities requiring fault tolerance and safety.

wshobson/bats-testing-patterns

Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.

wshobson/bazel-build-optimization

Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases.

wshobson/before-you-build

Pre-build product and feature risk review for founders, product managers, and AI-assisted builders. Use this skill when the user is about to build a landing page, MVP, SaaS product, internal tool, agent workflow, or major feature and needs to check demand, positioning, monetization, retention, trust, distribution, and adoption risk before implementation starts.

wshobson/billing-automation

Build automated billing systems for recurring payments, invoicing, subscription lifecycle, and dunning management. Use when implementing subscription billing, automating invoicing, or managing recurring payment systems.

wshobson/binary-analysis-patterns

Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.

wshobson/block-no-verify-hook

Configure a PreToolUse hook to prevent AI agents from skipping git pre-commit hooks with --no-verify and other bypass flags. Use when setting up Claude Code projects that enforce commit quality gates.

wshobson/brand-landingpage

Brand-first landing page designer — runs a brand-identity interview (colors, typography, shape language), then generates and iterates on a polished landing page via Stitch with deployment-ready HTML. Use when the user asks to create, design, or build a landing page, homepage, or marketing page and has no established visual direction. Skip when they have a design mockup, need a dashboard or app UI, are working at component level, building a multi-page app, or restyling with known design tokens — use frontend-design instead.

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