Software Alternatives & Reviews

Azure Traffic Manager VS gatling.io

Compare Azure Traffic Manager VS gatling.io and see what are their differences

Azure Traffic Manager logo Azure Traffic Manager

Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.

gatling.io logo gatling.io

Gatling is an open-source load testing framework based on Scala, Akka and Netty
  • Azure Traffic Manager Landing page
    Landing page //
    2023-01-26
  • gatling.io Landing page
    Landing page //
    2023-07-27

Azure Traffic Manager videos

Azure Traffic Manager Vlog 1

gatling.io videos

Gatling Introduction

Category Popularity

0-100% (relative to Azure Traffic Manager and gatling.io)
Web Servers
100 100%
0% 0
Website Testing
0 0%
100% 100
Web And Application Servers
Monitoring Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, gatling.io seems to be more popular. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Traffic Manager mentions (0)

We have not tracked any mentions of Azure Traffic Manager yet. Tracking of Azure Traffic Manager recommendations started around Mar 2021.

gatling.io mentions (19)

  • What is Load Testing? Complete Tutorial With Best Practices
    Gatling: An open-source load and performance testing tool primarily designed for web applications, Gatling utilizes a simple domain-specific language (DSL) for creating and maintaining test scripts. It supports HTTP/2 and allows recording and generation of scenarios directly from a browser. The tool also provides detailed performance reports that are easy to analyze. - Source: dev.to / 2 months ago
  • Best Practices in Testing GraphQL APIs
    Performance and load testing are essential parts of GraphQL API testing. It ensures APIs can handle expected traffic volumes and respond within acceptable timeframes. You can use tools like Apache JMeter or Gatling to generate realistic loads and evaluate the API's performance under different scenarios. Techniques like batched queries and caching can help mitigate this issue. - Source: dev.to / 10 months ago
  • Perf/web testing framework similar to locust/gatling for .NET?
    New to the .NET community and trying to learn! I have used tools such as Apache JMeter (Java), gatling.io (Java) and Locust (Python) that are decent full featured web perf frameworks. Typically these integrate well with your code, and can be run as part of your unit/integration tests and produce offline reports. Source: about 1 year ago
  • How can I do a simple load test for an API I'm developing?
    Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: about 1 year ago
  • Optimizing Decision Making with a Trie Tree-Based Rules Engine: An Experience Report
    I used SpringBoot 3.0.2, GraalVM 22 (JVM mode), a MacOS 2,6 GHz 6-Core Intel Core i7, running 1000 users for 5 minutes. The idea was to test how memory consumption and CPU usage evolve. Below, I compared the footprint of these three solutions. I collected the total count of requests, throughput, memory consumption, and CPU usage using VisualVM and Gatling. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Azure Traffic Manager and gatling.io, you can also consider the following products

nginx - A high performance free open source web server powering busiest sites on the Internet.

locust - An open source load testing tool written in Python.

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

Apache JMeter - Apache JMeter™.

Google Cloud Load Balancing - Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.

Loader.io - Loader.io is a simple cloud-based load testing service