⚡ Load Balancers in Australia
Load balancers are software components or network devices that distribute incoming traffic across multiple backend servers, improving application availability, scalability, and fault tolerance by preventing any single server from becoming a bottleneck.
Australia is an Oceanian country with a population of over 27 million people.
According to our statistics, load balancers are detected on 6.5% of websites from Australia.
⭐ Most Popular in 2026
The following chart shows the top load balancers in Australia in 2026, based on market share.
The most popular is AWS Elastic Load Balancer with a share of 22.8%, followed by
Google Cloud Load Balancer with 20% and Varnish with 16.7%.
AWS Elastic Load Balancer 22.8%
Google Cloud Load Balancer 20%
- Varnish 16.7%
- Application Request Routing 13.6%
F5 BIG-IP 8%Azure Front Door 6.9%
Envoy 6.3%
- Sucuri CloudProxy 5.8%
Azure Application Gateway 3.8%
Barracuda Load Balancer ADC 1.5%
Heroku Vegur 1.4%Ivanti vADC 0.5%
NetScaler 0.3%
Apache Traffic Server 0.2%- HAProxy 0.1%
🚀 Highlights
Here is a list of the top load balancers that are more popular in Australia than worldwide.
Differences between global and country rankings are shown in parentheses.
- 1.
AWS Elastic Load Balancer (-2)
- 4. Application Request Routing (-1)
- 6.
Azure Front Door (-2)
- 10.
Barracuda Load Balancer ADC (-4)
- 13.
NetScaler (-2)
✨ Best Load Balancers
Below is a more detailed list of 17 load balancers used on sites from Australia, ranked by their market share.
👉 See Also
- 🌎 Load Balancers in other countries
🗃️ About This Data
- We evaluate the popularity of technologies based on the number of websites where we detect their usage.
- Technologies without a detectable web footprint, and those we do not track, are not reflected in the calculated market share.
- This report is based on the analysis of 75,347 websites from Australia.
- We currently track the presence of 18 load balancers across the web.
- Of these, 17 were detected on websites from Australia.
- Statistics were last calculated on .
- For more details, see our methodology and disclaimer.