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Use load testing tools like JMeter, Gatling, or Locust to simulate demand spikes and verify that your auto-scaling rules work as expected. This will ensure that your system can handle real-world traffic patterns. - Source: dev.to / about 1 month ago
Use load testing tools like Apache JMeter, Gatling, or Locust to measure your application's throughput under various loads and compare it to historical data. - Source: dev.to / 4 months ago
Gatling: Known for its ease of use and support for high-concurrency simulations. - Source: dev.to / 5 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 / about 1 year 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 / almost 2 years ago
locust - An open source load testing tool written in Python.
VisualVM - VisualVM is a visual tool integrating several commandline JDK tools and lightweight profiling...
Apache JMeter - Apache JMeter™.
Glimpse for C# - The open source diagnostics platform for the web. Contribute to Glimpse/Glimpse development by creating an account on GitHub.
Loader.io - Loader.io is a simple cloud-based load testing service
Kcachegrind - Callgrind is a profiling tool and KCachegrind is able to visualize output of the profilers.