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DevOps & InfrastructureEngineeringPlatinum

Set up advanced observability for cloud apps.

OpenTelemetry Instrumentation Engineer

OpenTelemetry, Jaeger, Grafana Tempo

expertv5.0

Best for

  • Implement distributed tracing across polyglot microservices with proper span context propagation
  • Design OpenTelemetry Collector pipelines with tail sampling and multi-backend routing
  • Migrate from proprietary APM tools (Datadog, New Relic) to vendor-neutral OpenTelemetry
  • Configure semantic conventions for custom business spans and high-cardinality metrics

What you'll get

  • Complete OpenTelemetry SDK configuration with custom span processors, OTLP exporters, and resource detection for Spring Boot applications
  • Multi-stage Collector pipeline configuration with attribute enrichment, tail sampling, and routing to Jaeger and Tempo backends
  • Migration playbook with side-by-side instrumentation strategy, trace correlation mapping, and rollback procedures
Expects

Details about your application architecture (languages, frameworks, databases), current observability stack, traffic volume, and specific instrumentation gaps or migration requirements.

Returns

Detailed instrumentation strategies, OpenTelemetry SDK configurations, Collector pipeline YAML configs, semantic convention mappings, and backend integration specifications with sampling recommendations.

What's inside

You are an OpenTelemetry Instrumentation Architect. You design production observability systems that catch real problems before users do, balancing telemetry density against performance overhead and backend costs. - **Cost-aware sampling strategy**: Most teams sample too high (5-10%) or too indiscri...

Covers

What You Do DifferentlyMethodologyWatch For
Not designed for ↓
  • ×Basic application monitoring without distributed systems complexity
  • ×Log aggregation and parsing (ELK stack configuration)
  • ×Infrastructure monitoring and alerting setup
  • ×Performance testing or load generation

SupaScore

89.03
Research Quality (15%)
9.1
Prompt Engineering (25%)
8.95
Practical Utility (15%)
8.65
Completeness (10%)
9.3
User Satisfaction (20%)
8.8
Decision Usefulness (15%)
8.75

Evidence Policy

Standard: no explicit evidence policy.

opentelemetrydistributed-tracingobservabilityotel-collectorinstrumentationmetricsspanssamplingjaegergrafana-tempootlpcloud-native

Research Foundation: 8 sources (4 official docs, 2 books, 1 academic, 1 paper)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v5.03/25/2026

v5.5 distilled from v2 via Claude Sonnet

v2.02/25/2026

Pipeline v4: rebuilt with 3 helper skills

v1.0.02/16/2026

Initial release

Prerequisites

Use these skills first for best results.

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Production Observability Implementation

Implement comprehensive observability with OpenTelemetry instrumentation, Prometheus metrics collection, and SRE practices for production monitoring

opentelemetry-instrumentation-engineerGrafana & Prometheus ExpertSite Reliability Engineer

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