Apache ab
Kcachegrind
OProfile
VisualVM
Oink
Valgrind
locust
Munin
gatling.io
locust
Apache JMeter
Loader.io
k6 Cloud
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Taurus
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Apache ab might be a bit more popular than gatling.io. We know about 23 links to it since March 2021 and only 19 links to gatling.io. 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.
Benchmarking: Benchmarking is the process of testing the performance of your application under a specific workload or set of conditions. You can use tools like Apache Bench or Siege to simulate load on your application and measure how it performs. - Source: dev.to / 3 months ago
While the server creation is still somewhat more imperative in nature, client connections are now handled via an object which inherits off socketserver.BaseRequestHandler. This requires the implementing class to define a handle() method, which for TCP will expose self.request to hold a socket referencing the connection. Now to show multiple connections working I'll utilize the Apache HTTP server benchmarking tool.... - Source: dev.to / 10 months ago
Using the example above, I’ll send some traffic to the endpoint using Apache Benchmark. - Source: dev.to / 10 months ago
Apache Bench aka "ab" ab -n 1000 -c 100 http://localhost:3000/ 1000 requests with a concurrency of 100 https://httpd.apache.org/docs/2.4/programs/ab.html. - Source: Hacker News / about 1 year ago
Apache Testbench is an option. It's a cli tool that simulate some level of traffic. Source: about 1 year 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 / 2 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 / 10 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: about 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: about 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
Kcachegrind - Callgrind is a profiling tool and KCachegrind is able to visualize output of the profilers.
locust - An open source load testing tool written in Python.
OProfile - OProfile is an open source project that includes a statistical profiler, capable of profiling all running code at low overhead.
Apache JMeter - Apache JMeter™.
VisualVM - VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...
Loader.io - Loader.io is a simple cloud-based load testing service