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Jitsi Auto Scaling on AWS, GCP, Azure & Other Cloud Platform

Have a large number of users? Don't worry, we can assist you in establishing a scalable architecture for Jitsi.

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Scaling Services we Offer


Jitsi JVB AutoScaling on AWS/Azure/GCP

When the traffic in the server increases and the server resources max out, we would need more servers to meet the demand. If the volume of traffic remains constant, we can easily add more servers to meet the demand. However, if the volume of traffic changes frequently, a workable solution must be found. An autoscaling solution must be used in this situation, in which the servers are spun up or down based on the traffic volume.

Key Components needed in Autoscaling:

  • A Multi shard deployment
  • HA Proxy
  • Load Balancer
jitsi scaling

Single Shard Scaling

A single shard with a single Jitsi Meet, multiple Jibri, and JVB will be generated.

  • Single shard scaling
  • Multiple JVB
jitsi meet

Multi Shard Scaling

Numerous shards will be present, each with multiple jitsi Meet and Multiple Jibri and JVB.

  • Muti shard scaling
  • Multiple JVB

Our recent case studies

Let's explore on how we helped our clients

We helped UNRC (Universidad Nacional de Río Cuarto) University from Argentina to achieve 10K students at a time with recording

UNRC wanted to use Jitsi for their online classes. While installing jitsi is an easy task, scaling it to handle large number of users is a different scenario. Keeping in mind the scenario of 10K+ concurrent student, we scaled the jitsi accordingly. We helped them with following jitsi services:

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How we helped build a Virtual Event Platform at scale

While everyone was shifting virtually, our valuable client got an idea to develop a virtual event platform. We used jitsi for 121 networking, group networking, sponsor networking with along with other live streaming tools. We helped them with following jitsi services:

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What is Jitsi Scaling?

Jitsi Scaling aims to accommodate growing demand by dynamically adjusting resources, ensuring optimal performance for an increasing number of concurrent conferences.

How would I know my platform needs Jitsi Scaling?

Consider Jitsi Scaling if you experience increased conference demand, encounter performance issues, or aim to optimize resource usage for cost efficiency.

What is Jitsi Autoscaling and how does it work?

Jitsi Autoscaling dynamically creates secondary servers based on CPU consumption, optimizing costs while ensuring optimal performance to meet demand.

How does Autoscaling benefit my Jitsi setup?

Auto-scaling dynamically adjusts resources based on usage, optimizing your Jitsi setup for efficiency and responsiveness during peak demands.

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