in a multiregion sfu deployment (selfhosted), lets...
# ask-ai
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in a multiregion sfu deployment (selfhosted), lets say the the first user joins from region x, and the other persons got redirected to region y via cloudflare load balancer. Ive region awareness on for my sfus, so does the other person gets redirected to region x (bc the room is there) or the media proxies through region y for the other user
t
Thanks for reaching out, Punit. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — good question. You're asking whether, in a self‑hosted multi‑region SFU deployment with region awareness on, participants sent to Region Y by Cloudflare will be redirected to Region X (where the room was created) or have their media proxied through Region Y. They are not redirected to Region X. The room control remains anchored in Region X, but participants who connect to Region Y stay connected there; the Region Y SFU acts as a local gateway and relays/proxies media to/from Region X. In short: clients stay in the region they were routed to, and media is forwarded between regions by the SFUs. If you want, I can explain how inter‑region relay affects latency, bandwidth, or how to configure your load balancer to prefer the room’s region. Which would be most useful? Sources: How We Built a Globally Distributed WebRTC Mesh Network
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yeah go ahead. also does this mean I pay double egress costs bc media is now getting exited twice in this scenario
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Thanks — I’ll explain two things: how inter‑region media relaying affects latency/traffic, and how billing works. Latency/traffic • When the room is anchored in Region X but a participant connects to Region Y, Region Y’s SFU stays the participant’s local gateway and relays media to/from Region X. Clients are not redirected. • That relay adds an extra network hop between SFUs, which can increase end‑to‑end latency for cross‑region streams and adds inter‑region bandwidth use on your private backbone. • To reduce latency you can: ◦ Prefer routing participants to the room’s region (region pinning or LB rules) so fewer cross‑region relays are needed. ◦ Use nearby SFU edges for participants whenever possible so relays take the lowest‑latency paths. Costs / egress billing • You do not pay “double” egress for internal SFU‑to‑SFU relays. Billing is for the final leg of media delivered to end users (downstream/egress to participants) and upstream from publishers — internal SFU relay traffic is not billed as egress. • Practically: you’re billed for the bandwidth each participant downloads (and uploads) to their client, not for the internal cross‑region hops between SFUs. If you want, I can: • Suggest specific load‑balancer rules or Cloudflare config to favor the room’s region, or • Walk through an example cost/ bandwidth calculation for your expected participant distribution. Which would you like next? Sources: A Tale of Two Protocols: WebRTC vs. HLS for Live Streaming | How We Built a Globally Distributed WebRTC Mesh Network | livekit/livekit_composite | DeepWiki | The end of Participant Minute pricing | Data Processing Addendum | LiveKit
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is there any benifit that the second user is connected to region Y as compared to if they were directily connected to region x
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Good question — short answer: yes, there can be benefits and trade‑offs. Benefits of connecting the second user to Region Y • Lower client‑to‑edge latency and better upload quality if Region Y is geographically or network‑closer to that user. • Better user experience on constrained networks (fewer client retransmits, smoother capture). • Load distribution: spreads publisher/encoder load across SFUs, helping scale and avoid hot spots. • Fault isolation: if Region X has issues, Region Y can continue relaying or host new participants. Trade‑offs vs connecting directly to Region X • Slightly higher end‑to‑end latency for cross‑region subscribers because media is relayed between SFUs. • Additional inter‑region backbone traffic (not billed as egress, but still consumes network capacity). • Potentially more complex routing behavior (dynamic relay decisions). When to prefer Region Y for that user • The user’s RTT to Region Y is meaningfully lower than to Region X. • You want to reduce client upload problems or balance load across regions. • You prioritize local reliability or compliance. When to prefer routing them to Region X • You need the absolute lowest end‑to‑end latency between that user and participants already in Region X. • You want to avoid any additional cross‑region hops (e.g., for very latency‑sensitive apps). If helpful, I can: • Run a simple decision checklist for your app (latency sensitivity, user distribution, bandwidth limits), or • Suggest Cloudflare/load‑balancer rules to favor region pinning or proximity. Which would you prefer?
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for my usecase, there is one person streaming into the room. I keep the ingress closest to the streamer + ingress closest to the primary SFU as well where the room is hosted. Now users can join from all across the world, and I have SFUs there as well. Currently in AU and US central. I am trying to figure how livekit will behave in this scenario
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Thanks — I’ll explain how LiveKit will behave for your setup (one streamer with ingress near them + primary SFU hosting the room, viewers worldwide with SFUs in AU and US‑Central), and give practical recommendations. How media is routed • The room control remains anchored at the primary SFU (where you host the room). • The streamer publishes to their nearest ingress; that SFU will forward the published tracks to the room’s primary SFU if it’s in a different region. • Viewers connect to their nearest SFU (AU or US‑Central). Those edge SFUs subscribe to the streamer’s tracks by fetching/relaying them from the SFU that currently holds the source (the streamer’s SFU or primary SFU). • Clients are not redirected client‑side — each viewer stays connected to their local SFU, and SFUs relay media between regions as needed. Latency and quality implications • Viewers geographically near their local SFU get low client↔️edge latency and better upload reliability. • Cross‑region viewers incur one extra SFU↔️SFU hop for media between the streamer’s SFU/primary SFU and their local SFU — this increases end‑to‑end latency compared to everyone connecting to the same region. • The extra hop can also slightly increase jitter/loss risk for those specific streams, but the relay is UDP/RTP‑based and optimized for real‑time forwarding. Bandwidth / cost • You are billed for upstream from the publisher and downstream to each viewer. Internal SFU→SFU relay traffic is not billed as egress. • Total billed egress equals the sum of what each viewer downloads (plus publisher upload). Cross‑region relays do not double‑bill. Recommendations • Keep the streamer’s ingress in the region closest to the streamer (you already do) to minimize their upload latency and capture quality. • If most viewers are concentrated in one region, consider hosting the primary room there to reduce total relay hops. • If viewers are truly global, keep regional SFUs (AU and US‑Central). This optimizes client experience since viewers connect to nearby edges and SFUs handle relay. • If ultra‑low end‑to‑end latency to the streamer is critical for some viewers, use load‑balancer rules or region pinning to route those viewers to the streamer’s region. • Monitor per‑region metrics (RTT, packet loss, bitrate) and adjust routing or add edges where needed. If you want, I can: • Sketch a simple traffic/egress cost example based on expected viewer counts and bitrates, or • Suggest Cloudflare/LB rules to prefer the streamer’s region for specific viewer sets. Which would you like next?
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• Suggest Cloudflare/LB rules to prefer the streamer’s region for specific viewer sets.
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I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!