Based on our record, Traefik should be more popular than gatling.io. It has been mentiond 34 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.
In previous post, we discussed creating a basic Nomad cluster in the Vultr cloud. Here, we will use the cluster created to deploy a load-balanced sample web app using the service discovery capability of Nomad and its native integration with the Traefik load balancer. The source code is available here for the reference. - Source: dev.to / 3 months ago
Traefik (https://traefik.io/traefik) is also pretty good at this. I've used it to get certs auto-renewed for my projects. - Source: Hacker News / 4 months ago
In the modern landscape of web applications and services, ensuring secure and efficient traffic routing is crucial. Reverse proxies play a pivotal role in handling incoming requests, enabling SSL termination, and load balancing, all while enhancing the overall security and scalability of your infrastructure. One of the most popular and feature-rich reverse proxies is Traefik. - Source: dev.to / 11 months ago
Yes, there's a small downtime when I deploy the app, but I am considering using Traefik to hold requests while the new build is up and running and ready to accept incoming requests. Source: 12 months ago
I have seen / heard good things abut Traefik [Traefik site] but not used it . Source: 12 months ago
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
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™.
Haproxy - Reliable, High Performance TCP/HTTP Load Balancer
Loader.io - Loader.io is a simple cloud-based load testing service