i have a lot of pauses in my app where a pop up ov...
# ask-ai
s
i have a lot of pauses in my app where a pop up overlay shows, to reduc cpu during this moments what would be the best method (pause room, mute track...?)
t
Thanks for reaching out, MBMBMB. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To help reduce CPU usage during pauses in your app, here are a few friendly tips you might find useful: • Mute Tracks: You can use the
mute()
method on audio or video tracks to pause data transmission. When you’re ready, simply call
unmute()
to resume. • Pause Upstream Tracks: The
pauseUpstream()
method lets you stop sending media to the server while keeping your local streams active. When you want to start again, just use
resumeUpstream()
. • Enable Dynacast: This feature smartly pauses video layers that subscribers aren’t watching, which helps lower CPU and bandwidth usage. • Adaptive Stream: It automatically adjusts video quality and pauses data flow when video elements aren’t visible, saving resources. These approaches can really help optimize your app’s performance during overlay pauses. If you’d like, I’m here to walk you through how to implement any of these options—just let me know! Sources: Camera & microphone | LiveKit Docs | src/room/track/LocalVideoTrack.ts | lib/usePerfomanceOptimiser.ts | Sources/LiveKit/Types/Options/RoomOptions.swift
s
what is th best between both: • • Mute Tracks: You can use the
mute()
method on audio or video tracks to pause data transmission. When you’re ready, simply call
unmute()
to resume. • Pause Upstream Tracks: The
pauseUpstream()
method lets you stop sending media to the server while keeping your local streams active. When you want to start again, just use
resumeUpstream()
.
t
Between the two options, muting tracks is usually the better way to go if you're looking to reduce local CPU usage. This works because it stops the local
MediaStreamTrack
from capturing and processing media right at the source, which helps lighten the load on your device. On the other hand, pausing upstream just stops sending data to the server but keeps the local media stream running. This can be handy if you still want to see the video on your end, but it won’t really ease up on CPU usage since the capture and processing are still happening. So, if minimizing CPU usage during pauses is your main goal, muting tracks is definitely the way to go. If you have any questions or want a hand with setting this up, I’m here to help! Sources: src/room/track/LocalTrack.ts | pkg/sfu/forwarder_test.go | Optimizing Video Calls for Low-Powered Devices in LiveKit (JS SDK ≥ v2.14...
s
im looking to reduce server cpu
t
To help reduce your server CPU usage, here are some effective methods you might find useful: • Pause Upstream: You can use
pauseUpstream()
to temporarily stop sending media to the server while keeping your local streams active. This really helps lower server-side processing and bandwidth use. • Server-Side Mute: If you’re an administrator, you have the option to mute tracks directly on the server through the Admin API or SDK. This stops media forwarding and eases the load downstream. • Enable Dynacast: Dynacast is a great feature that dynamically pauses video layers not being watched by subscribers, which cuts down on server-side encoding and processing. For optimizing your server, pausing upstream and enabling Dynacast tend to be especially effective. If you’d like, I’m here to help you set these up or answer any questions you have! Sources: src/room/track/LocalTrack.ts | Optimizing Video Calls for Low-Powered Devices in LiveKit (JS SDK ≥ v2.14... | lib/usePerfomanceOptimiser.ts | livekit-protocol/src/livekit.rs
s
• • Server-Side Mute: If you’re an administrator, you have the option to mute tracks directly on the server through the Admin API or SDK. This stops media forwarding and eases the load downstream. more detail on this, could i mute agent and user server side
t
To help you mute tracks server-side for both agents and users, you can use the MutePublishedTrack API via the Admin SDKs. Let me guide you through the steps: 1. Obtain the Track SID: First, retrieve the
trackSid
of the track you want to mute by using the
GetParticipant
API or SDK method. 2. Call the Mute API: Then, use the
mutePublishedTrack
method with these parameters: ◦ `room`: The name of the room ◦ `identity`: The identity of the participant (agent or user) ◦ `trackSid`: The SID of the track you want to mute ◦ `muted`: Set this to
true
to mute or
false
to unmute Here’s a simple example in TypeScript to illustrate:
Copy code
const roomService = new RoomServiceClient(LIVEKIT_URL, API_KEY, API_SECRET);
await roomService.mutePublishedTrack(roomName, identity, trackSid, true); // Mute
await roomService.mutePublishedTrack(roomName, identity, trackSid, false); // Unmute
Just a quick reminder: make sure you have admin-level credentials to perform these actions. If you’re looking to enable remote unmute functionality, you can turn it on in the project settings or the configuration file if you’re using a self-hosted deployment. Please feel free to reach out if you have any questions or need more help—I’m here for you! Sources: Managing participants | LiveKit Docs | packages/livekit-server-sdk/src/RoomServiceClient.ts | livekit-api/livekit/api/room_service.py | src/main/kotlin/io/livekit/server/RoomServiceClient.kt | cmd/lk/room.go
s
that will put cpu usage alsmost to 0 right ?
t
Muting tracks server-side is a great way to significantly reduce server CPU usage because it stops media forwarding and processing for those muted tracks. That said, it might not bring CPU usage down to zero since the server still manages other important tasks like signaling, room management, and handling active participants or tracks. If you're looking to reduce the server load even more, you might want to try combining server-side muting with features like Dynacast, which smartly pauses unused video layers. Feel free to reach out if you'd like more details or if I can help you explore other optimization options!