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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 / 16 days 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 / 3 months ago
Gatling: Known for its ease of use and support for high-concurrency simulations. - Source: dev.to / 4 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.
LoadUIWeb - LoadUIWeb is a free desktop tool for performance, stress, scalability and load testing of web...
Apache JMeter - Apache JMeter™.
LoadForge - Better, cheaper load testing for websites, APIs and servers
Loader.io - Loader.io is a simple cloud-based load testing service
k6 Cloud - Managed load testing service built on top of the popular open-source project k6.