golang-samber-slog
Go structured logging architecture design, automatically configuring sampling, sensitive information anonymization, and routing distribution. Error logs sent to Sentry, info logs stored in Loki.
npx skills add samber/cc-skills-golang --skill golang-samber-slogBefore / After Comparison
1 组Manually configure each log level and output target, prone to missing sensitive information desensitization leading to leaks, requires multiple adjustments to sampling rates and routing rules, a single configuration takes 2 hours.
Declaratively define log processing pipelines, automatically apply desensitization rules and intelligent routing, sampling strategies automatically adjust based on log volume, production-grade configuration completed in 15 minutes.
golang-samber-slog
Persona: You are a Go logging architect. You design log pipelines where every record flows through the right handlers — sampling drops noise early, formatters strip PII before records leave the process, and routers send errors to Sentry while info goes to Loki.
samber/slog-**** — Structured Logging Pipeline for Go
20+ composable slog.Handler packages for Go 1.21+. Three core pipeline libraries plus HTTP middlewares and backend sinks that all implement the standard slog.Handler interface.
Official resources:
-
github.com/samber/slog-multi — handler composition
-
github.com/samber/slog-sampling — throughput control
-
github.com/samber/slog-formatter — attribute transformation
This skill is not exhaustive. Please refer to library documentation and code examples for more information. Context7 can help as a discoverability platform.
The Pipeline Model
Every samber/slog pipeline follows a canonical ordering. Records flow left to right — place sampling first to drop early and avoid wasting CPU on records that never reach a sink.
record → [Sampling] → [Pipe: trace/PII] → [Router] → [Sinks]
Order matters: sampling before formatting saves CPU. Formatting before routing ensures all sinks receive clean attributes. Reversing this wastes work on records that get dropped.
Core Libraries
Library Purpose Key constructors
slog-multi
Handler composition
Fanout, Router, FirstMatch, Failover, Pool, Pipe
slog-sampling
Throughput control
UniformSamplingOption, ThresholdSamplingOption, AbsoluteSamplingOption, CustomSamplingOption
slog-formatter
Attribute transforms
PIIFormatter, ErrorFormatter, FormatByType[T], FormatByKey, FlattenFormatterMiddleware
slog-multi — Handler Composition
Six composition patterns, each for a different routing need:
Pattern Behavior Latency impact
Fanout(handlers...)
Broadcast to all handlers sequentially
Sum of all handler latencies
Router().Add(h, predicate).Handler()
Route to ALL matching handlers
Sum of matching handlers
Router().Add(...).FirstMatch().Handler()
Route to FIRST match only
Single handler latency
Failover()(handlers...)
Try sequentially until one succeeds
Primary handler latency (happy path)
Pool()(handlers...)
Concurrent broadcast to all handlers
Max of all handler latencies
Pipe(middlewares...).Handler(sink)
Middleware chain before sink
Middleware overhead + sink
// Route errors to Sentry, all logs to stdout
logger := slog.New(
slogmulti.Router().
Add(sentryHandler, slogmulti.LevelIs(slog.LevelError)).
Add(slog.NewJSONHandler(os.Stdout, nil)).
Handler(),
)
Built-in predicates: LevelIs, LevelIsNot, MessageIs, MessageIsNot, MessageContains, MessageNotContains, AttrValueIs, AttrKindIs.
For full code examples of every pattern, see Pipeline Patterns.
slog-sampling — Throughput Control
Strategy Behavior Best for
Uniform Drop fixed % of all records Dev/staging noise reduction
Threshold Log first N per interval, then sample at rate R Production — preserves initial visibility
Absolute Cap at N records per interval globally Hard cost control
Custom User function returns sample rate per record Level-aware or time-aware rules
Sampling MUST be the outermost handler in the pipeline — placing it after formatting wastes CPU on records that get dropped.
// Threshold: log first 10 per 5s, then 10% — errors always pass through via Router
logger := slog.New(
slogmulti.
Pipe(slogsampling.ThresholdSamplingOption{
Tick: 5 * time.Second, Threshold: 10, Rate: 0.1,
}.NewMiddleware()).
Handler(innerHandler),
)
Matchers group similar records for deduplication: MatchByLevel(), MatchByMessage(), MatchByLevelAndMessage() (default), MatchBySource(), MatchByAttribute(groups, key).
For strategy comparison and configuration details, see Sampling Strategies.
slog-formatter — Attribute Transformation
Apply as a Pipe middleware so all downstream handlers receive clean attributes.
logger := slog.New(
slogmulti.Pipe(slogformatter.NewFormatterMiddleware(
slogformatter.PIIFormatter("user"), // mask PII fields
slogformatter.ErrorFormatter("error"), // structured error info
slogformatter.IPAddressFormatter("client"), // mask IP addresses
)).Handler(slog.NewJSONHandler(os.Stdout, nil)),
)
Key formatters: PIIFormatter, ErrorFormatter, TimeFormatter, UnixTimestampFormatter, IPAddressFormatter, HTTPRequestFormatter, HTTPResponseFormatter. Generic formatters: FormatByType[T], FormatByKey, FormatByKind, FormatByGroup, FormatByGroupKey. Flatten nested attributes with FlattenFormatterMiddleware.
HTTP Middlewares
Consistent pattern across frameworks: router.Use(slogXXX.New(logger)).
Available: slog-gin, slog-echo, slog-fiber, slog-chi, slog-http (net/http).
All share a Config struct with: DefaultLevel, ClientErrorLevel, ServerErrorLevel, WithRequestBody, WithResponseBody, WithUserAgent, WithRequestID, WithTraceID, WithSpanID, Filters.
// Gin with filters — skip health checks
router.Use(sloggin.NewWithConfig(logger, sloggin.Config{
DefaultLevel: slog.LevelInfo,
ClientErrorLevel: slog.LevelWarn,
ServerErrorLevel: slog.LevelError,
WithRequestBody: true,
Filters: []sloggin.Filter{
sloggin.IgnorePath("/health", "/metrics"),
},
}))
For framework-specific setup, see HTTP Middlewares.
Backend Sinks
All follow the Option{}.NewXxxHandler() constructor pattern.
Category Packages
Cloud
slog-datadog, slog-sentry, slog-loki, slog-graylog
Messaging
slog-kafka, slog-fluentd, slog-logstash, slog-nats
Notification
slog-slack, slog-telegram, slog-webhook
Storage
slog-parquet
Bridges
slog-zap, slog-zerolog, slog-logrus
Batch handlers require graceful shutdown — slog-datadog, slog-loki, slog-kafka, and slog-parquet buffer records internally. Flush on shutdown (e.g., handler.Stop(ctx) for Datadog, lokiClient.Stop() for Loki, writer.Close() for Kafka) or buffered logs are lost.
For configuration examples and shutdown patterns, see Backend Handlers.
Common Mistakes
Mistake Why it fails Fix
Sampling after formatting Wastes CPU formatting records that get dropped Place sampling as outermost handler
Fanout to many synchronous handlers
Blocks caller — latency is sum of all handlers
Use Pool() for concurrent dispatch
Missing shutdown flush on batch handlers
Buffered logs lost on shutdown
defer handler.Stop(ctx) (Datadog), defer lokiClient.Stop() (Loki), defer writer.Close() (Kafka)
Router without default/catch-all handler Unmatched records silently dropped Add a handler with no predicate as catch-all
AttrFromContext without HTTP middleware
Context has no request attributes to extract
Install slog-gin/echo/fiber/chi middleware first
Using Pipe with no middleware
No-op wrapper adding per-record overhead
Remove Pipe() if no middleware needed
Performance Warnings
-
Fanout latency = sum of all handler latencies (sequential). With 5 handlers at 10ms each, every log call costs 50ms. Use
Pool()to reduce to max(latencies) -
Pipe middleware adds per-record function call overhead — keep chains short (2-4 middlewares)
-
slog-formatter processes attributes sequentially — many formatters compound. For hot-path attribute formatting, prefer implementing
slog.LogValueron your types instead -
Benchmark your pipeline with
go test -benchbefore production deployment
Diagnose: measure per-record allocation and latency of your pipeline and identify which handler in the chain allocates most.
Best Practices
-
Sample first, format second, route last — this canonical ordering minimizes wasted work and ensures all sinks see clean data
-
Use Pipe for cross-cutting concerns — trace ID injection and PII scrubbing belong in middleware, not per-handler logic
-
Test pipelines with
slogmulti.NewHandleInlineHandler— assert on records reaching each stage without real sinks -
Use
AttrFromContextto propagate request-scoped attributes from HTTP middleware to all handlers -
Prefer Router over Fanout when handlers need different record subsets — Router evaluates predicates and skips non-matching handlers
Cross-References
-
→ See
samber/cc-skills-golang@golang-observabilityskill for slog fundamentals (levels, context, handler setup, migration) -
→ See
samber/cc-skills-golang@golang-error-handlingskill for the log-or-return rule -
→ See
samber/cc-skills-golang@golang-securityskill for PII handling in logs -
→ See
samber/cc-skills-golang@golang-samber-oopsskill for structured error context withsamber/oops
If you encounter a bug or unexpected behavior in any samber/slog-* package, open an issue at the relevant repository (e.g., slog-multi/issues, slog-sampling/issues). Weekly Installs665Repositorysamber/cc-skills-golangGitHub Stars1.1KFirst SeenMar 22, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled onopencode648cursor641codex639gemini-cli637github-copilot636amp635
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