SKUDONET
Haproxy
Kemp LoadMaster
AWS Elastic Load Balancing
Avi Vantage Load Balancer
Microsoft Azure Traffic Manager
Traefik
nginx
gatling.io
locust
Apache JMeter
Loader.io
k6 Cloud
OctoPerf
Hey Load Generator
Taurus
SKUDONET gatling.ioNo features have been listed yet.
SKUDONET's answer
Technical IT team
SKUDONET's answer
Easy to use and to manage, making the load balancing secure by default. Open source Load Balancer with cyber security capabilities
SKUDONET's answer
SKUDONET is the first Open Source Load balancer easy to use and to manage, previously called ZEVENET.
SKUDONET's answer
SKUDONET was created in 2012 after analyzing other vendors offered solutions not easy to deploy and manage, with expensive maintenance costs and continued training, SKUDONETS appears as an alternative to Load Balancing making easier the integration of this technology in any environment.
SKUDONET's answer
SKUDONET is created on Linux Operating system, SKUDONET converts this General purpose operating system to a specific networking solution for Load Balancing.
SKUDONET's answer
SKUDONET previously called ZEVENET is used for many companies around the world like TATA communications, Carrefour, Volkswagen, SoftwareONE, Cloud Providers, Telecom Italia, Telefonica, etc
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.
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 / 4 months ago
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 / 12 months ago
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: over 1 year ago
Gatling , this is what we tested concurrency with. Setting up might take a while depending on your exp. But the tool is solid. Source: over 1 year ago
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
Haproxy - Reliable, High Performance TCP/HTTP Load Balancer
locust - An open source load testing tool written in Python.
Kemp LoadMaster - L4/7 Load Balancer w SSL offload
Apache JMeter - Apache JMeter™.
AWS Elastic Load Balancing - Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
Loader.io - Loader.io is a simple cloud-based load testing service
