Name: golang-observability
Rating: 86 (1 reviews)
Author: samber

golang-observability

Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See `samber/cc-skills-golang@golang-benchmark` and `samber/cc-skills-golang@golang-performance` skills).

1.20x

Quality

82%

Does it follow best practices?

Impact

94%

1.20x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Evaluation results

100%

17%

Instrument an Order Processing API with Prometheus Metrics

Prometheus metrics instrumentation for HTTP service

Criteria

Without context

With context

Histogram for latency

100%

Base unit: seconds

100%

Counter _total suffix

100%

No high-cardinality labels

100%

Latency per endpoint

100%

Error rate per endpoint

100%

PromQL comments above metrics

100%

No irate in comments

100%

/metrics endpoint

100%

Namespace in metric names

37%

100%

No Summary for latency

100%

83%

19%

Modernize Observability in a Legacy Go Order Service

Migrate zerolog to slog and add OpenTelemetry tracing

Criteria

Without context

With context

slog JSON handler

100%

LevelInfo for production

100%

Context slog variants

70%

100%

No log-and-return

20%

100%

zerolog removed

100%

otelslog bridge

Spans on service methods

100%

Spans on DB operations

100%

Spans on external HTTP calls

100%

RecordError AND SetStatus

100%

Context propagation on DB

33%

44%

100%

11%

Add Privacy-Compliant Analytics and Production Profiling to a SaaS Backend

GDPR-compliant analytics and continuous profiling setup

Criteria

Without context

With context

user_id as identity key

100%

No email as identity key

100%

Consent check before tracking

100%

Data deletion endpoint

75%

100%

Data export endpoint

100%

Profiling env var toggle

100%

pprof not on public port

100%

slog for profiling logs

100%

Compliance checklist present

100%

Repository: samber/cc-skills-golang
Commit: 8c7e016

Evaluated: about 3 hours ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Instrument an Order Processing API with Prometheus Metrics Modernize Observability in a Legacy Go Order Service Add Privacy-Compliant Analytics and Production Profiling to a SaaS Backend

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