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Avi Vantage Load Balancer VS Go dispatch proxy

Compare Avi Vantage Load Balancer VS Go dispatch proxy and see what are their differences

Atera
Atera’s all-in-one platform enables IT professionals to gain access, visibility, and control over all their networks and devices from anywhere, so they can work smarter and light years faster. featured
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Avi Vantage Load Balancer logo Avi Vantage Load Balancer

Avi Vantage is a suite of multi-cloud application services that, among others, consist of a Software Load balancer to help provide you with a scalable, quick, and secure application experience.

Go dispatch proxy logo Go dispatch proxy

A SOCKS5 load balancing proxy to combine multiple internet connections into one.
  • Avi Vantage Load Balancer Landing page
    Landing page //
    2023-08-22
  • Go dispatch proxy Landing page
    Landing page //
    2023-08-19

Category Popularity

0-100% (relative to Avi Vantage Load Balancer and Go dispatch proxy)

Avi Vantage Load Balancer

Go dispatch proxy

Web Servers
64 64%
Web Servers
36% 36
Network & Admin
64 64%
Network & Admin
36% 36
Online Services
64 64%
Online Services
36% 36
Tool
100 100%
Tool
0% 0

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What are some alternatives?

When comparing Avi Vantage Load Balancer and Go dispatch proxy, you can also consider the following products

KEMP Load Balancer - L4/7 Load Balancer w SSL offload

iNetFusion - use multiple internets at once

AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.

Microsoft Azure Traffic Manager - Microsoft Azure Traffic Manager is a great solution that enables you to route incoming traffic for high availability and performance.

SKUDONET - Scale easy and avoid system disruptions with the ADC challengers through high availability, load balancing, security and high performance.

Web Werks Load Balancing - Web Werks Load Balancing service ensures proper functioning of your traffic by directing all the incoming traffic through a network of load balancers, allocating the data load to each server, thereby improving the performance significantly.

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