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      <language>ko</language>
      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
      <webMaster>fjvbn2003@gmail.com (Youngju Kim)</webMaster>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-distributed-tracing-opentelemetry-2026-otel-jaeger-tempo-zipkin-honeycomb-lightstep-signoz-skywalking-datadog-apm-deep-dive.en</guid>
    <title>Distributed Tracing &amp; OpenTelemetry 2026 — OTel / Jaeger / Tempo / Zipkin / Honeycomb / Lightstep / SigNoz / SkyWalking / Datadog APM Deep Dive</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-distributed-tracing-opentelemetry-2026-otel-jaeger-tempo-zipkin-honeycomb-lightstep-signoz-skywalking-datadog-apm-deep-dive.en</link>
    <description>In 2026, distributed tracing has converged on OpenTelemetry. The OTel spec and Collector, W3C Trace Context and B3 Propagation, OSS backends like Jaeger/Tempo/Zipkin, the observability 2.0 camp (Honeycomb, SigNoz), APM giants (Lightstep, Datadog, New Relic, Dynatrace), eBPF auto-instrumentation (Pixie, Beyla) — where to pick what, how to tame head vs tail sampling and cost, and how Korean and Japanese companies actually migrated.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>observability</category><category>distributed-tracing</category><category>opentelemetry</category><category>otel</category><category>otelcol</category><category>jaeger</category><category>tempo</category><category>zipkin</category><category>honeycomb</category><category>charity-majors</category><category>lightstep</category><category>servicenow</category><category>signoz</category><category>apache-skywalking</category><category>datadog-apm</category><category>new-relic-apm</category><category>elastic-apm</category><category>sentry-performance</category><category>dynatrace</category><category>appdynamics</category><category>splunk</category><category>pixie</category><category>beyla</category><category>w3c-trace-context</category><category>b3-propagation</category><category>baggage</category><category>head-based-sampling</category><category>tail-based-sampling</category><category>2026</category><category>deep-dive</category><category>english</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-distributed-tracing-opentelemetry-2026-otel-jaeger-tempo-zipkin-honeycomb-lightstep-signoz-skywalking-datadog-apm-deep-dive.ja</guid>
    <title>分散トレーシング &amp; OpenTelemetry 2026 — OTel / Jaeger / Tempo / Zipkin / Honeycomb / Lightstep / SigNoz / SkyWalking / Datadog APM 徹底比較</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-distributed-tracing-opentelemetry-2026-otel-jaeger-tempo-zipkin-honeycomb-lightstep-signoz-skywalking-datadog-apm-deep-dive.ja</link>
    <description>2026年、分散トレーシングは OpenTelemetry に収束した。OTel 仕様と Collector、W3C Trace Context と B3 伝搬、Jaeger / Tempo / Zipkin といった OSS バックエンド、Honeycomb / SigNoz の observability 2.0 陣営、Lightstep と Datadog / New Relic / Dynatrace といった APM 巨人、Pixie / Beyla に代表される eBPF 自動計装まで — どこで何を選ぶか、ヘッド/テールサンプリングと費用をどう抑えるか、韓国・日本企業がどう移行したかを徹底比較する。</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>observability</category><category>distributed-tracing</category><category>opentelemetry</category><category>otel</category><category>otelcol</category><category>jaeger</category><category>tempo</category><category>zipkin</category><category>honeycomb</category><category>charity-majors</category><category>lightstep</category><category>servicenow</category><category>signoz</category><category>apache-skywalking</category><category>datadog-apm</category><category>new-relic-apm</category><category>elastic-apm</category><category>sentry-performance</category><category>dynatrace</category><category>appdynamics</category><category>splunk</category><category>pixie</category><category>beyla</category><category>w3c-trace-context</category><category>b3-propagation</category><category>baggage</category><category>head-based-sampling</category><category>tail-based-sampling</category><category>2026</category><category>deep-dive</category><category>日本語</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-16-distributed-tracing-opentelemetry-2026-otel-jaeger-tempo-zipkin-honeycomb-lightstep-signoz-skywalking-datadog-apm-deep-dive</guid>
    <title>분산 추적 &amp; OpenTelemetry 2026 — OTel / Jaeger / Tempo / Zipkin / Honeycomb / Lightstep / SigNoz / SkyWalking / Datadog APM 심층 비교</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-16-distributed-tracing-opentelemetry-2026-otel-jaeger-tempo-zipkin-honeycomb-lightstep-signoz-skywalking-datadog-apm-deep-dive</link>
    <description>2026년 분산 추적은 OpenTelemetry로 수렴했다. OTel 사양과 Collector, W3C Trace Context와 B3 Propagation, Jaeger/Tempo/Zipkin 같은 OSS 백엔드, Honeycomb과 SigNoz 같은 observability 2.0 진영, Lightstep과 Datadog/New Relic/Dynatrace 같은 APM 거인, 그리고 Pixie/Beyla로 대표되는 eBPF 자동 계측까지 — 어디서 무엇을 골라야 하는지, 헤드/테일 샘플링과 비용은 어떻게 다스리는지, 한국과 일본 기업들이 어떻게 마이그레이션했는지까지 심층 비교.</description>
    <pubDate>Sat, 16 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>observability</category><category>distributed-tracing</category><category>opentelemetry</category><category>otel</category><category>otelcol</category><category>jaeger</category><category>tempo</category><category>zipkin</category><category>honeycomb</category><category>charity-majors</category><category>lightstep</category><category>servicenow</category><category>signoz</category><category>apache-skywalking</category><category>datadog-apm</category><category>new-relic-apm</category><category>elastic-apm</category><category>sentry-performance</category><category>dynatrace</category><category>appdynamics</category><category>splunk</category><category>pixie</category><category>beyla</category><category>w3c-trace-context</category><category>b3-propagation</category><category>baggage</category><category>head-based-sampling</category><category>tail-based-sampling</category><category>2026</category><category>deep-dive</category>
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