---
title: "Self-Hosted LiveKit Contractors, Developers & Agency | SFU on AWS, GCP & Bare Metal | Vindler"
description: "Hire self-hosted LiveKit developers or an agency to deploy and maintain your own LiveKit SFU on AWS, GCP, Kubernetes, or bare metal. Egress recording, Ingress streaming, TURN servers, and multi-region scale. Top contributors to the LiveKit community. References available."
url: "https://vindler.solutions/hire/self-hosted-livekit"
locale: "en"
updatedAt: "2026-11-12"
---

# Self-Host LiveKit on Your Own Infrastructure

SFU deployment on AWS, GCP, Kubernetes, or bare metal. We configure the full LiveKit stack: media server, TURN, Egress recording, Ingress streaming, and the monitoring that keeps it running. Top contributors to the LiveKit community, and available for references.

Tell Us About Your Project

Deployed On

[AWS Partner Network](https://aws.amazon.com/partners/)[LiveKit](https://livekit.io/)

Recognized by Clutch

[Top Clutch AI Consulting Company Brazil 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch AI Company Brazil 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch AI Company São Paulo 2026](https://clutch.co/profile/vindler-solutions)[Top Clutch Chatbot Company Brazil 2026](https://clutch.co/profile/vindler-solutions)

## What We Deploy and Operate

Every component of the self-hosted LiveKit stack, from SFU core to Egress recording pipelines, tuned for your scale and use case.

### SFU Infrastructure Setup

We deploy and configure LiveKit's Selective Forwarding Unit on your own infrastructure. The SFU is the core routing engine that receives media tracks from every participant and selectively forwards them to each subscriber, without decoding or re-encoding the streams. We tune the SFU for your traffic patterns, configure ICE servers, and set bandwidth estimation parameters so your media quality holds up under load.

### AWS & GCP Cloud Deployments

Full LiveKit deployments on AWS or GCP, from EC2 instances and EKS clusters to VPC networking and IAM policies. On AWS we configure Application Load Balancers for the API plane, UDP port exposure for WebRTC media, and auto-scaling groups tied to connection count metrics. On GCP we work with GKE, Cloud Load Balancing, and Cloud Armor for DDoS protection. Your data stays in your cloud account, under your security controls.

### Bare Metal Deployments

When cloud egress costs or ultra-low latency requirements make bare metal the right choice, we handle the full deployment: OS hardening, network interface configuration, systemd service management, firewall rules for WebRTC UDP ports, and kernel tuning for high-throughput media workloads. We have deployed LiveKit on co-location hardware for clients where data residency requirements ruled out cloud providers.

### Kubernetes & Multi-Node Clusters

LiveKit on Kubernetes with distributed Redis, horizontal pod autoscaling, and node affinity rules that keep media processing on compute-optimized instances. We configure the LiveKit cluster with proper pod disruption budgets so rolling upgrades never drop active sessions, and we set up liveness and readiness probes that account for the long-lived WebSocket connections LiveKit maintains.

### Egress & Recording Pipelines

LiveKit Egress lets you record rooms, composite multiple participants into a single video, or stream directly to an RTMP destination like YouTube or Twitch. We deploy Egress as a separate service, configure the Chrome-based compositor with your branding, set up S3 or GCS for recording storage, and wire up webhooks so your application knows when recordings are ready. We also handle the compute scaling, Egress is CPU-heavy, and sizing it wrong means dropped frames.

### Ingress & Live Streaming Intake

LiveKit Ingress converts existing RTMP, WHIP, or URL-based streams into LiveKit rooms. We deploy Ingress to accept feeds from OBS, hardware encoders, or streaming platforms and make them available as LiveKit participants. This is how you build hybrid architectures where a broadcaster streams via RTMP and viewers receive it through the same WebRTC infrastructure as your interactive participants.

### Custom Deployment Sizing

The right deployment depends on your peak concurrent rooms, participants per room, and media quality requirements. A single VM handles a few hundred participants. A Kubernetes cluster on c5n.xlarge instances handles tens of thousands. We model your traffic, recommend instance types, and configure the connection limits, turn allocations, and memory settings that match your scale without over-provisioning.

### Ongoing Maintenance & Ops

LiveKit releases regularly, and upgrades require coordinated rolling restarts to avoid session drops. We handle version upgrades, certificate renewals, TURN server maintenance, Redis cluster health, and log aggregation. We set up alerting on ICE failure rates, room creation latency, and egress queue depth so you know about infrastructure problems before your users report them.

Built by Senior EngineersTop LiveKit Community Contributors

## Self-Hosting LiveKit Is Not a Weekend Project

The LiveKit quickstart has you running a local server in ten minutes. A production self-hosted deployment is a different undertaking. You are operating a real-time media router that must maintain sub-200ms latency for every participant, recover from node failures without dropping sessions, handle UDP traffic that cloud security groups block by default, and scale horizontally without splitting Redis state across partitioned nodes. Each one of those problems requires infrastructure experience that the documentation does not cover.

WebRTC infrastructure has failure modes that developers encounter once and rarely document. ICE candidate selection behaves differently when your SFU is behind a load balancer versus directly accessible. Egress recording drops frames when the Chrome compositor runs on a CPU that is also handling media forwarding. TURN relay adds asymmetric latency when your TURN server is in a different region than your SFU. Redis pub-sub under high message volume degrades room join latency in ways that are hard to diagnose without metrics instrumentation.

We are active participants in the LiveKit community forum and rank among the top contributors by activity. We have deployed LiveKit across AWS, GCP, and bare metal in configurations that range from a single VM handling 300 participants to Kubernetes clusters with dedicated Egress nodes for concurrent recording. If you want to speak to someone who has worked with our deployments, ask us for references. We will connect you directly.

## Deployment Options We Support

We match the deployment model to your scale, budget, and compliance requirements.

### Single VM

One EC2 or GCE instance running LiveKit Server, Redis, and Coturn TURN. Right for up to a few hundred concurrent participants. Simple to maintain, fast to provision, and easy to understand when something goes wrong.

Fast setup, low ops overhead

Predictable monthly cost

Good for POC to mid-scale

### Kubernetes Cluster

EKS or GKE cluster with autoscaling LiveKit pods, distributed Redis, and dedicated Egress nodes. Handles thousands of concurrent rooms with rolling upgrades and zero dropped sessions. Right for production platforms with variable traffic.

Auto-scales with load

Zero-downtime upgrades

Multi-region ready

### Bare Metal

Dedicated servers in a co-location facility with flat-rate bandwidth. No cloud egress costs, kernel-level tuning for media throughput, and deterministic performance without noisy neighbors. Right for high-volume media workloads where cloud egress costs are prohibitive.

No egress fees

Maximum throughput per dollar

Data residency compliance

## Our Self-Hosted LiveKit Stack

The full technology set for deploying, scaling, and operating LiveKit infrastructure.

LiveKit Server

LiveKit Agents

LiveKit Egress

LiveKit Ingress

WebRTC

SFU

TURN / STUN

Redis Cluster

Kubernetes (EKS/GKE)

AWS EC2

AWS EKS

GCP GKE

Bare Metal / Co-lo

Terraform

Helm

Prometheus

Grafana

Coturn

Python

Go

## Self-Hosted LiveKit Deployments We Have Delivered

Production deployments handling real traffic, with real compliance requirements.

[MVP deployed in 2 weeks

### Voice AI for Medicare Patients

Deployed a self-hosted LiveKit server for a healthcare client with strict data residency requirements. HIPAA-compliant configuration on AWS, with Egress recording sessions to encrypted S3 buckets and a dedicated TURN server for clients behind restrictive firewalls.

Read Case Study](https://vindler.solutions/case-studies/medicare-voice-assistant)[Scaled to thousands of concurrent rooms

### Multi-Tenant Video Platform

Built a LiveKit Kubernetes cluster on EKS to serve a multi-tenant video conferencing platform. Configured tenant isolation at the token level, auto-scaling based on active room count, and Egress composite recording with custom branded layouts per tenant.

Read Case Study](https://vindler.solutions/case-studies/product-recommendation-ivr)[Zero dropped streams under load

### Hybrid Broadcast and Interactive

Combined LiveKit Ingress for broadcaster RTMP intake with a full SFU deployment for interactive audience participation. Bare metal nodes in two regions provided the low egress cost and sub-100ms latency the client required for a live interactive format.

Read Case Study](https://vindler.solutions/case-studies/llm-customer-chatbot)

## How We Work

From infrastructure audit to production deployment with a documented runbook.

Step 1

### Infrastructure Discovery

We start with your current setup: cloud provider, existing networking, security requirements, peak load expectations, and budget constraints. We document the full picture before recommending an architecture, because the right LiveKit deployment for a HIPAA healthcare app is very different from one for a mobile gaming app.

Step 2

### Deployment Architecture

We deliver a detailed deployment plan: instance types, network topology, TURN configuration, Egress sizing, Kubernetes manifests or systemd units, and a cost model. You see the exact infrastructure before we build it, with trade-offs documented so you understand what you are getting and why.

Step 3

### Deploy, Test & Hand Off

We deploy to a staging environment first, run load tests to validate capacity, then promote to production with a documented runbook. We transfer knowledge to your team with architectural walkthroughs, monitoring dashboards, and escalation procedures so you can maintain what we build.

## Frequently Asked Questions

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## Ready to Self-Host LiveKit the Right Way?

Whether you are starting from scratch or taking over an existing deployment, we will assess your infrastructure and tell you exactly what needs to be done. We provide references on request.

Free 30-minute infrastructure discovery call

Detailed deployment architecture proposal within one week

References available from community and past clients

Full knowledge transfer and runbook on delivery

### Get a Free Infrastructure Assessment

Describe your LiveKit deployment requirements and we'll assess the right architecture for your scale, budget, and compliance needs.

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