How does Ant Media scale WebRTC for live streaming?

Origin clusters ingest, edge clusters deliver via MongoDB metadata. One edge handles 800+ viewers; stack 'em horizontally.

What are common Kubernetes gotchas with Ant Media?

Expose UDP 4200 for SRT; use overlay IPs for pods in Azure CNI to save VNet space.

Can Ant Media handle RTSP from hundreds of IP cameras?

Yes — ingest, transcode, route to AI at varying frame rates like 1fps snapshots to slash costs.

☁️ Cloud & Infrastructure

Ant Media's Secret to Scaling WebRTC: Separate Ingest, Conquer Latency

Low-latency streaming has always forced a brutal choice: speed or scale. Ant Media's flipping the script with a clever origin-edge split that's ready for NAB 2026 crowds.

theAIcatchup Apr 08, 2026 4 min read

Ant Media's origin-edge architecture diagram for scalable WebRTC live streaming at NAB 2026

⚡ Key Takeaways

Separate origin (ingest) and edge (delivery) clusters eliminate WebRTC scaling bottlenecks. 𝕏
RTSP ingestion with smart transcoding powers AI video pipelines from IP cameras. 𝕏
Kubernetes deploys need UDP 4200 for SRT and overlay IPs to avoid IP exhaustion. 𝕏

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theAIcatchup

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#Ant Media #Kubernetes streaming #NAB 2026 #RTSP ingestion #WebRTC scaling #live streaming #live streaming at scale

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