Thousands of companies run self-hosted video infrastructure on open-source platforms. Universities run Jitsi for faculty meetings. Privacy-conscious teams in Europe host their own video to stay outside US cloud jurisdiction. Startups use LiveKit to ship real-time features without a five-figure vendor contract. At small-to-mid scale — under 50 concurrent users — open-source video does exactly what it promises: free, private, functional. It’s one of the most rational infrastructure decisions a growing company can make.

This article is about what happens when it stops being enough. Not because the software is bad — it isn’t — but because the demands of an enterprise deployment are fundamentally different from the demands of a team tool. Let’s look at where those cracks actually appear.

Where Enterprises Hit the Ceiling with Open-Source Video Infrastructure

First, the Scale Grows

A single Jitsi Videobridge instance handles about 40–70 participants with video on, roughly 100 at the absolute limit. LiveKit’s SFU performs better per node, but still requires multi-server orchestration at enterprise scale. For an internal team tool, these limits are invisible. For a platform serving customers — hundreds of concurrent sessions across regions — you hit them fast.

The fix is horizontal scaling: multiple media server instances behind load balancers, region-aware routing, autoscaling infrastructure. This isn’t a configuration change. It’s a full infrastructure project. And the moment you start that project, you’re no longer maintaining a simple deployment — you’re running a distributed system. That takes people.

Then It’s Not a One-Person Job Anymore

At small scale, one DevOps engineer handles your Jitsi or LiveKit deployment alongside other responsibilities. At enterprise scale — multi-server clusters, recording pipelines, TURN servers, monitoring — it becomes a dedicated role. Browser updates break call quality without warning. Security patches need tracking against upstream releases. WebRTC itself is a moving target across Chrome, Safari, Firefox, and Edge.

Enterprise deployments typically require 15–20 hours per month of dedicated engineering just for maintenance, monitoring, and incident response. Add a partial DevOps engineer allocation and you’re at $5,000–$8,000 per month in engineering cost. Put simply: the “free” platform now costs your company $60,000–$100,000 per year in engineering time alone — before you count a single server.

Then You Realize Critical Features Are Missing

Open-source video platforms were built as conferencing tools, not as embeddable enterprise infrastructure. The gaps surface as your use case matures:

Recording: Jitsi’s Jibri records by running a headless Chrome instance that renders the meeting and captures the screen. Each Jibri instance records exactly one meeting at a time. Scaling to dozens of concurrent recordings means dozens of dedicated Jibri instances, each consuming 4 vCPU and 16GB RAM. When Jibri fails mid-recording under load, the recording is lost with no fallback. LiveKit’s Egress service is more modern but still requires its own infrastructure management.

Compliance and Audit Trails: Regulated industries need call-level logs: who joined, when, from where, what was shared, where the recording is stored. Neither Jitsi nor LiveKit provides this natively. You build it yourself or you don’t have it. When a compliance officer asks “can you prove where patient video data from last Tuesday was stored and who accessed it?” — the answer with a stock open-source deployment is usually silence.

Analytics: How many concurrent sessions ran last Thursday? Average call duration? Regional packet loss? Out of the box, you get basic server metrics. Conference-level analytics require custom development.

Then Customization Hits a Wall

You can skin Jitsi’s UI — logos, colors, fonts. But deep white-labeling — embedding video into your product under your brand, with your domain, your SDK, and zero trace of the upstream project — requires forking. Once you fork, every upstream security patch, every new release needs to be manually merged into your version. Teams that fork typically fall 6–12 months behind upstream within a year, running a version that’s effectively unsupported.

LiveKit takes a better approach with a proper SDK layer, but it’s infrastructure, not a platform. You get building blocks — rooms, tracks, participants — and build the complete product experience yourself. For teams that want a fully white-labeled, deployable product without building the UI and management layer from scratch, neither delivers that out of the box.

And There Is No Support When Production Breaks

When your video platform goes down during a live vKYC session with 200 banking customers waiting, your options are: GitHub issues, community forums, and your own engineering team. No phone number, no escalation path, no SLA. For internal tools, this is fine. For customer-facing infrastructure in regulated industries, it’s a risk most enterprises eventually decide they can’t carry.

So what does all of this actually add up to?

The Math: What “Free” Open-Source Video Infrastructure Costs at Enterprise Scale

Let’s model a specific, realistic deployment. A mid-size SaaS company runs a customer-facing platform — telehealth consultations, video-based customer support, or live virtual classrooms. They’ve self-hosted Jitsi. At peak, they run 250 concurrent video sessions. Recording is required for roughly 60% of sessions (compliance or playback). Deployed across 2 cloud regions for latency. One DevOps engineer spends about 40% of their time on video infrastructure.

Here’s the infrastructure that deployment requires:

Servers: 4 Jitsi Videobridge instances (8 vCPU, 32GB RAM each — each handles roughly 60 sessions at peak), 1 signaling server (Prosody + Jicofo), 2 TURN servers for corporate firewall traversal, 1 monitoring stack (Prometheus + Grafana).

Recording: 5 Jibri instances (each records exactly 1 session at a time — covering 5 concurrent recordings at peak). Each needs 4 vCPU and 16GB RAM because Jibri renders meetings in a headless Chrome browser.

Storage: ~8 TB/month of recorded video at moderate resolution.

And here’s what it costs:

Cost Category	Monthly Estimate
Server infrastructure (4 JVB + signaling + 2 TURN + monitoring)	$900 – $1,600
Recording instances (5 Jibri at 4 vCPU / 16GB each)	$500 – $800
Object storage (~8 TB recorded video)	$200 – $400
Engineering maintenance (15–20 hrs/month @ $80–$120/hr)	$1,200 – $2,400
DevOps engineer (40% allocation, $130K–$180K/yr salary)	$4,300 – $6,000
Security patching, upstream tracking, incident response	$400 – $800
Total Monthly Cost	$7,500 – $12,000
Total Annual Cost	$90,000 – $144,000

$90,000 to $144,000 per year for a 250-session deployment on “free” software. Scale to 500 concurrent sessions and the server and recording line items roughly double.

And the real cost isn’t even the money. It’s what you’re not building while your team is keeping video infrastructure alive. In the name of “free,” what enterprises actually give up is growth — they compromise on scalability, on onboarding new customers, on shipping features that make the product easier to use, on automating workflows, on building the ecosystem that compounds over time. The software costs nothing. The opportunity cost is enormous.

If these numbers or this pattern sound familiar, it’s worth asking honestly: have you outgrown open-source?

The Signals That You’ve Outgrown Open-Source Video Infrastructure

Not every company needs to migrate. But if three or more of these are true, the cost of staying is likely higher than the cost of switching:

Your engineers spend more time maintaining video infrastructure than building your product. The maintenance burden has shifted from a side task to a recurring drag on roadmap velocity.

You’ve failed or struggled with a compliance audit because of video recording or data residency gaps. Compliance is asking questions your deployment can’t answer.

You need white-label video in your product, and the fork is falling behind upstream. Every upstream release is a merge headache. You’re running a version nobody else supports.

You’re hiring a dedicated WebRTC engineer just to keep the platform running. When infrastructure requires its own headcount, the “free” math has changed.

Scaling past current capacity requires an architecture change, not just more servers. Session migration, cascading SFUs, geo-distribution — none of which are simple additions.

Downtime takes hours to resolve because there’s no vendor support to escalate to. Your team is debugging production from GitHub threads at 2 AM.

If this sounds familiar, the next question is: what’s the migration path? That depends on what your industry actually needs.

What Comes Next: Choosing the Right Path for Your Industry

What Does Your Industry Require?

Banking & Financial Services: Data sovereignty is non-negotiable. Video KYC regulations mandate that customer data stays within the organization’s infrastructure. You need on-premise deployment, end-to-end encryption, call-level audit trails, and provable data residency. Compliance drives the architecture.

Healthcare: HIPAA, GDPR, and equivalent regulations require patient video data to be processed within controlled environments. Recording for medical records, audit trails for regulatory proof, and demonstrable data residency are hard requirements.

EdTech: Scale is the primary challenge — hundreds of concurrent classrooms with 30–500 students. Recording for playback is essential. White-labeling matters. Cost predictability matters because usage grows linearly with enrollment.

Enterprise IT / SaaS: Companies embedding video into their own products need SDK integration, white-label capability, and a platform that doesn’t require forking someone else’s codebase. The decision is driven by engineering speed: ship video in weeks, not months.

Which Models Deliver Those Requirements?

Commercial On-Premise Platforms: Deploy on your own servers, full data sovereignty, vendor support with SLAs. Samvyo operates here — flat licensing, on-prem deployment, white-label, built-in recording and AI features. Suits BFSI, healthcare, and government where compliance mandates on-premise and vendor support is a requirement.

Cloud Video APIs: Agora, Daily.co, Dyte offer SDKs you integrate into your product, running on their cloud. Fast to integrate, well-documented. Suits edtech and SaaS where data sovereignty isn’t a hard requirement and per-minute costs haven’t become unsustainable.

Managed Open-Source: Third-party providers host and maintain Jitsi on your behalf. Solves the operational pain without a full platform migration. Doesn’t solve feature gaps (white-label, compliance, audit trails), but eliminates the engineering overhead.

Bandwidth-Based Infrastructure (LiveKit Cloud): LiveKit’s managed cloud, priced per GB. Developer-friendly, more modern than Jitsi. Suits engineering-heavy teams comfortable building the complete product experience on top of infrastructure building blocks.

How to Choose

If compliance drives your architecture (BFSI, healthcare, government) — you need on-premise with audit trails and vendor support. Cloud-only options are disqualified.

If scale and cost predictability are the priority (edtech, high-volume SaaS) — compare flat licensing against per-minute billing at your projected usage.

If engineering speed matters most (startups, product teams) — cloud video APIs get you to production fastest. Optimize later if volume grows.

If you want to stay on open-source without the operational burden — managed hosting solves the maintenance problem. The feature gaps remain.

Frequently Asked Questions

For enterprises, what are the alternatives for Jitsi?

Commercial on-premise platforms like Samvyo offer flat licensing, white-label, and vendor support deployed on your infrastructure. Cloud APIs like Agora and Daily.co offer fast integration but run on their cloud with per-minute billing. Managed open-source providers host Jitsi for you, solving operational pain but not the feature gaps.

Is Jitsi suitable for enterprise use?

Jitsi works well under ~100 concurrent users. Beyond that, it requires multi-server architecture, dedicated engineering, and custom development for compliance and recording. At 200+ sessions, operational overhead runs $90,000–$144,000/year — at which point platforms like Samvyo become more capable and more cost-efficient.

What size companies is Samvyo ideal for?

Samvyo is built for enterprises running 100+ concurrent video sessions — the scale where per-minute billing gets expensive and self-hosted open-source becomes an engineering burden. It’s particularly suited for regulated industries (banking, healthcare, government) and SaaS companies embedding white-labeled video into their own product.

How does Samvyo’s pricing compare to self-hosted open-source video?

Self-hosted Jitsi at enterprise scale costs $90,000–$144,000/year in servers, recording, storage, and engineering. Samvyo replaces that entire stack with a single flat license — predictable cost, no engineering overhead, no per-minute billing.

Can Samvyo replace a Jitsi or LiveKit deployment?

Yes. Samvyo provides the same on-premise deployment and data sovereignty that companies chose open-source for, while adding compliance audit trails, white-label, built-in recording, AI features, and vendor support that open-source doesn’t offer natively.

Does Samvyo support white-labeling for enterprise video?

Full white-label out of the box — your brand, your domain, your SDK, zero upstream branding. Unlike Jitsi where deep customization requires forking the codebase, Samvyo’s white-label is a built-in feature, not a maintenance liability.

When should an enterprise switch from open-source video to Samvyo?

When engineering maintenance exceeds 15–20 hours/month, compliance teams are asking questions your platform can’t answer, your fork is falling behind upstream, or you’re hiring headcount just to keep video running. These are signals the “free” model costs more than a managed alternative.

Does Samvyo support on-premise video deployment?

Yes. Samvyo deploys entirely on your servers — your infrastructure, your data, your control. Required by regulators in banking (RBI video KYC), healthcare (HIPAA), and government where data sovereignty is non-negotiable.

What’s Next?

If you’re running self-hosted Jitsi or LiveKit and the maintenance overhead, scaling challenges, or compliance gaps in this article sound familiar — it’s worth understanding what the alternatives look like for your setup.

Samvyo offers a free migration assessment where we review your current deployment, map your requirements, and show you what a managed, flat-licensed alternative looks like for your use case. No commitment — just an honest technical conversation can be booked using this link. If you are looking for a detailed demo, please book a meeting using this link.

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