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분산 트레이싱의 모든 것! Trace/Span/Context Propagation, OpenTelemetry SDK + Collector, Jaeger vs Tempo vs Zipkin, W3C Trace Context, 샘플링 전략(Head/Tail/Probabilistic), Auto-instrumentation, 비용 최적화.
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- Published on
Season 5 Ep 8. 관측성 없이는 운영 없고, 운영 없이는 제품 없다. OpenTelemetry의 3대 시그널(Metric·Log·Trace) 통합, Grafana 스택(Prometheus·Loki·Tempo·Mimir) vs Datadog·New Relic·Splunk, SigNoz·Honeycomb·Axiom의 새 세대, SLO·SLI·Error Budget 운영, LLM 관측성(LangFuse·LangSmith·Phoenix·Helicone), 한국 기업의 관측성 스택, "관측성은 제품 품질"이라는 선언까지.- Published on
"관측할 수 없으면 운영할 수 없다." Observability는 로그 수집·모니터링의 상위 개념으로, 알려지지 않은 문제(unknown unknowns)를 시스템 상태만으로 추론할 수 있게 하는 능력이다. 이 글은 Metric·Log·Trace 3축, Profile을 더한 4축, OpenTelemetry 표준의 진짜 가치, eBPF 커널 수준 관측, SLO·SLI·Error Budget 실전 설계, 그리고 Grafana Stack vs Elastic vs Datadog 2025 선택까지를 한 편에 정리한다. Season 2의 아홉 번째.- Published on
메트릭·로그·트레이스·프로파일 Four Pillars, OpenTelemetry 표준화, eBPF continuous profiling(Parca/Pyroscope/Polar Signals), LGTM 스택, Sentry·Datadog·Honeycomb 비교, SLO/Error Budget, AI 이상 탐지, 온콜 운영과 블레임리스 포스트모템까지 — 2025년 관측가능성 전부.- Published on
분산 시스템에서 가장 중요한 역량은 "모르는 것을 알게 되는 능력"이다. 2024-2025년 관측 가능성은 혁명의 한복판에 있다. OpenTelemetry 1.0 GA, eBPF 기반 agentless 프로파일링, Continuous Profiling 주류화, Datadog vs Grafana vs Honeycomb 경쟁 재편. Metrics/Logs/Traces/Profiles 4-pillar부터 SLO 실전까지 추적한다.- Published on
Observability의 모든 것 — Monitoring과 Observability의 차이, 네 가지 기둥(Metrics, Logs, Traces, Profiling), Prometheus의 시계열 DB와 PromQL, OpenTelemetry의 통합 데이터 모델, Jaeger의 span/trace 모델, Loki의 label 인덱싱, Grafana 대시보드, SRE의 SLI/SLO/SLA, alerting 베스트 프랙티스, eBPF 기반 zero-instrumentation observability, cardinality 폭증과 비용 통제까지 1,400줄로 정리한 클라우드 네이티브 관찰 가능성 딥다이브.- Published on
Jaeger 대시보드의 예쁜 스팬 뒤에 있는 진실. OpenTelemetry의 탄생 배경부터 Span/TraceContext 전파 메커니즘, Collector 파이프라인, Head vs Tail 샘플링, eBPF auto-instrumentation, 그리고 Profile이 네 번째 기둥이 된 이야기까지.- Published on
WebSocket/SSE/gRPC 실시간 통신 원리부터 OpenTelemetry, Prometheus, Grafana를 활용한 옵저버빌리티 구축까지.- Published on
OpenAI, Azure, AWS의 에이전트 관측성, 평가, 대시보드, OpenTelemetry 연동을 비교하고 플랫폼, 제품, 인프라 팀이 롤아웃 결정을 내리는 방법을 정리한 실무 가이드입니다.- Published on
Observability의 모든 것! Three Pillars(로그/메트릭/트레이스), OpenTelemetry, Prometheus+Grafana, ELK Stack, 분산 트레이싱(Jaeger/Tempo), 알림 전략(PagerDuty/OpsGenie), SLO/SLI/SLA, 비용 최적화.- Published on
관측성의 3가지 축(메트릭/로그/트레이스)을 완전 정복! Prometheus 쿼리(PromQL), Grafana 대시보드, OpenTelemetry 계측, Jaeger 분산 추적, ELK/Loki 로깅, 알림 전략, SLI/SLO/SLA, 온콜 문화까지.- Published on
eBPF 기술과 OpenTelemetry 표준화의 결합으로, 2026년 관찰가능성은 근본적으로 변화하고 있습니다. 제로 계측(zero-instrumentation) 트레이싱, AI 기반 근본원인 분석, 비용 최적화된 관찰가능성 스택이 표준이 되어, 엔지니어들은 이제 "왜"의 질문에 즉시 답할 수 있습니다.- Published on
마이크로서비스 환경에서 분산 트레이싱을 구현하는 방법을 OpenTelemetry SDK 계측부터 Jaeger, Grafana Tempo 백엔드 구축까지 실전 코드로 다룹니다.- Published on
OpenTelemetry 아키텍처(SDK, API, Collector, Exporters), 트레이스 모델(Span, SpanContext, TraceID, SpanID, Baggage), Python·Node.js·Go 수동 계측, 자동 계측, Collector 파이프라인(receivers/processors/exporters), 샘플링 전략(head-based, tail-based), 백엔드 비교(Jaeger vs Tempo vs Zipkin vs Datadog), 컨텍스트 전파, eBPF 기반 제로코드 계측, 실패 사례와 프로덕션 체크리스트를 다룹니다.- Published on
OpenTelemetry Collector의 Receiver-Processor-Exporter 파이프라인 구성, 쿠버네티스 배포, 샘플링 전략, 성능 튜닝을 실전 설정 예제와 함께 총정리합니다.- Published on
A practical guide to tackling observability cost explosion. Covers OpenTelemetry Collector-based sampling policies, log filtering pipelines, metric cardinality management, storage tiering architecture, and a phased optimization checklist.- Published on
Observabilityデータ急増に伴うコスト課題を解決する実践ガイド。OpenTelemetry Collectorベースのサンプリング戦略、ログフィルタリング、メトリクスカーディナリティ管理、ストレージティアリングを実例とチェックリスト付きで解説します。- Published on
Observability 데이터 폭증에 따른 비용 문제를 해결하는 전략 가이드. OpenTelemetry Collector 기반 샘플링 정책, 로그 필터링 파이프라인, 메트릭 카디널리티 관리, 스토리지 티어링 아키텍처와 비용 절감 사례를 다룹니다.- Published on
OpenTelemetry Collector의 아키텍처와 파이프라인 설계, Receiver·Processor·Exporter 구성, Agent/Gateway 배포 패턴, Kubernetes 환경 운영과 Tail Sampling·메모리 관리 실전 가이드.- Published on
OpenTelemetry Collector의 아키텍처부터 파이프라인 설계, Receiver/Processor/Exporter 설정, 프로덕션 배포 패턴까지 실전 예제로 다룹니다.- Published on
OpenTelemetry를 활용한 분산 트레이싱의 핵심 개념부터 Python/Java 자동 계측, OTel Collector 구성, Jaeger 시각화, 프로덕션 운영 팁까지 코드와 함께 다룹니다.- Published on
Grafana LGTM(Loki, Grafana, Tempo, Mimir) 스택으로 Logs, Metrics, Traces를 통합 관리하는 옵저버빌리티 플랫폼을 구축한다. Docker Compose 핸즈온, OpenTelemetry 연동, Mermaid 아키텍처 다이어그램 포함.- Published on
W3C Baggage를 활용한 비즈니스 컨텍스트 전파, 자동·수동 계측 하이브리드 전략, 테일 기반 샘플링으로 비용 최적화, Semantic Conventions 표준화, OTLP gRPC vs HTTP 선택 전략까지 — OpenTelemetry로 분산 시스템의 가시성을 확보하는 5가지 핵심 전략을 아키텍트 관점에서 심층 분석한다.