---
title: WebRTC, SIP and network
seo_title: WebRTC, SIP and network — video
description: Transport determines where media, jitter, codecs and telephony boundaries live.
keywords: AI, Voice, Realtime, WebRTC, Telephony, Production
date: '2026-09-10T00:00:00+00:00'
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    <h1>WebRTC, SIP and network</h1><p>Transport determines where media, jitter, codecs and telephony boundaries live.</p>
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    <div class="s5-video-watch__section-head"><span class="s5-eyebrow">Video summary</span><h2 id="video-summary-title">The ideas to retain</h2></div>
    <div class="s5-video-watch__snippet-grid"><article><span>01</span><h2>Draw the path before choosing an acronym</h2><p>Architecture discussions often collapse three different planes:</p></article>
<article><span>02</span><h2>WebRTC: the route selected by ICE matters</h2><p>WebRTC does not assume that two endpoints can send UDP directly to each other. ICE gathers candidates and tests connectivity pairs. RFC 8445 distinguishes host, server-reflexive, and…</p></article>
<article><span>03</span><h2>Why TCP can sound worse even when bandwidth is sufficient</h2><p>TCP delivers a reliable ordered byte stream. If a segment is lost, later data can wait for the missing segment to be retransmitted. That behavior is usually correct for a download. For…</p></article></div>
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<li><a href="?t=12" data-s5-video-seek="12"><time>0:12</time><span>Jitter</span></a></li>
<li><a href="?t=24" data-s5-video-seek="24"><time>0:24</time><span>Transcoding</span></a></li></ol></section>
  
  <aside class="s5-video-watch__source"><div><span class="s5-eyebrow">Context and evidence</span><h2>Continue with the full article</h2><p>The chapter develops the mechanism, primary sources, limitations and connections to the rest of the series.</p></div><a class="s5-video-watch__source-link" href="https://5sigmas.com/en/series/agentes-voz-tiempo-real/05-webrtc-sip-telefonia-red/">Read the article →</a></aside>
  <section class="s5-video-watch__related" aria-labelledby="related-videos-title"><div class="s5-video-watch__section-head"><span class="s5-eyebrow">Next step</span><h2 id="related-videos-title">Related videos</h2></div><div class="s5-video-watch__related-grid"><article><a href="https://5sigmas.com/en/videos/series/evaluating-ai-systems-production/06-observability-failure-taxonomies-production-eval-repair-feedback-loops/"><img src="https://5sigmas.com/en/series/evaluating-ai-systems-production/06-observability-failure-taxonomies-production-eval-repair-feedback-loops.jpg" alt="" loading="lazy" width="1280" height="720"><span>Other topics · 0:36</span><strong>Observability, failure taxonomies, and feedback loops</strong></a></article>
<article><a href="https://5sigmas.com/en/videos/series/evaluating-ai-systems-production/05-online-evaluation-shadow-canary-ab-guardrails-regression-gates/"><img src="https://5sigmas.com/en/series/evaluating-ai-systems-production/05-online-evaluation-shadow-canary-ab-guardrails-regression-gates.jpg" alt="" loading="lazy" width="1280" height="720"><span>Other topics · 0:36</span><strong>Online evaluation: shadow, canary, A/B, and regression gates</strong></a></article>
<article><a href="https://5sigmas.com/en/videos/series/evaluating-ai-systems-production/04-evaluacion-trayectorias-agentes-tools-exito-eficiencia-recuperacion-policy/"><img src="https://5sigmas.com/en/series/evaluating-ai-systems-production/04-evaluacion-trayectorias-agentes-tools-exito-eficiencia-recuperacion-policy.jpg" alt="" loading="lazy" width="1280" height="720"><span>Other topics · 0:36</span><strong>Agent trajectories: success, efficiency, recovery, and policy</strong></a></article></div></section>
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